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ORCIDChunhua Shen
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- affiliation: University of Adelaide, School of Computer Science, Adelaide, Australia
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2020 – today
- 2024
[j175]Bowen Zhang, Liyang Liu, Minh Hieu Phan, Zhi Tian, Chunhua Shen, Yifan Liu
:
SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers. Int. J. Comput. Vis. 132(4): 1126-1147 (2024)- [j174]Ke Xian, Zhiguo Cao, Chunhua Shen, Guosheng Lin:
Towards Robust Monocular Depth Estimation: A New Baseline and Benchmark. Int. J. Comput. Vis. 132(7): 2401-2419 (2024) - [j173]Weijia Wu, Yuanqiang Cai, Chunhua Shen, Debing Zhang, Ying Fu, Hong Zhou, Ping Luo:
End-to-End Video Text Spotting with Transformer. Int. J. Comput. Vis. 132(9): 4019-4035 (2024) - [j172]Wei Yin, Yifan Liu, Chunhua Shen, Baichuan Sun, Anton van den Hengel:
Scaling Up Multi-domain Semantic Segmentation with Sentence Embeddings. Int. J. Comput. Vis. 132(9): 4036-4051 (2024) - [j171]Libo Sun, Jia-Wang Bian, Huangying Zhan, Wei Yin, Ian D. Reid, Chunhua Shen:
SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 497-508 (2024) - [j170]Ruibo Li, Chi Zhang, Zhe Wang, Chunhua Shen, Guosheng Lin:
Self-Supervised 3D Scene Flow Estimation and Motion Prediction Using Local Rigidity Prior. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8106-8122 (2024) - [j169]Mu Hu, Wei Yin, Chi Zhang, Zhipeng Cai, Xiaoxiao Long, Hao Chen, Kaixuan Wang, Gang Yu, Chunhua Shen, Shaojie Shen:
Metric3D v2: A Versatile Monocular Geometric Foundation Model for Zero-Shot Metric Depth and Surface Normal Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10579-10596 (2024) - [j168]Hanxi Li, Jianfei Hu, Bo Li, Hao Chen, Yongbin Zheng, Chunhua Shen:
Target Before Shooting: Accurate Anomaly Detection and Localization Under One Millisecond via Cascade Patch Retrieval. IEEE Trans. Image Process. 33: 5606-5621 (2024) - [c268]Chenchen Jing, Yukun Li, Hao Chen, Chunhua Shen:
Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning. AAAI 2024: 2652-2660 - [c267]Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen:
PointAttN: You Only Need Attention for Point Cloud Completion. AAAI 2024: 5472-5480 - [c266]Mingyang Zhang, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang:
LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning. ACL (Findings) 2024: 3013-3026 - [c265]Yanda Li, Chi Zhang, Gang Yu, Wanqi Yang, Zhibin Wang, Bin Fu, Guosheng Lin, Chunhua Shen, Ling Chen, Yunchao Wei:
Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data. ACL (Findings) 2024: 14512-14531 - [c264]Chengxiang Fan, Muzhi Zhu, Hao Chen, Yang Liu, Weijia Wu, Huaqi Zhang, Chunhua Shen:
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data. CVPR 2024: 3986-3995 - [c263]Ganggui Ding, Canyu Zhao, Wen Wang, Zhen Yang, Zide Liu, Hao Chen, Chunhua Shen:
FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition. CVPR 2024: 9089-9098 - [c262]Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen:
Traffic Scene Parsing Through the TSP6K Dataset. CVPR 2024: 21874-21885 - [c261]Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen:
VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks. ECCV (66) 2024: 1-18 - [c260]Zhekai Chen, Wen Wang, Zhen Yang, Zeqing Yuan, Hao Chen, Chunhua Shen:
FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior. ECCV (17) 2024: 70-87 - [c259]Zhen Yang, Ganggui Ding, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen:
Object-Aware Inversion and Reassembly for Image Editing. ICLR 2024 - [c258]Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, Chunhua Shen:
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching. ICLR 2024 - [c257]Weian Mao, Muzhi Zhu, Zheng Sun, Shuaike Shen, Lin Yuanbo Wu, Hao Chen, Chunhua Shen:
De novo Protein Design Using Geometric Vector Field Networks. ICLR 2024 - [c256]Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu:
On the Trajectory Regularity of ODE-based Diffusion Sampling. ICML 2024 - [c255]Ke Li, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Cheng, Chunhua Shen:
Floating Anchor Diffusion Model for Multi-motif Scaffolding. ICML 2024 - [c254]Muzhi Zhu, Chengxiang Fan, Hao Chen, Yang Liu, Weian Mao, Xiaogang Xu, Chunhua Shen:
Generative Active Learning for Long-tailed Instance Segmentation. ICML 2024 - [i386]Xiangxiang Chu, Limeng Qiao, Xinyu Zhang, Shuang Xu, Fei Wei, Yang Yang, Xiaofei Sun, Yiming Hu, Xinyang Lin, Bo Zhang, Chunhua Shen:
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model. CoRR abs/2402.03766 (2024) - [i385]Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen:
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks. CoRR abs/2403.00522 (2024) - [i384]Guangkai Xu, Yongtao Ge, Mingyu Liu, Chengxiang Fan, Kangyang Xie, Zhiyue Zhao, Hao Chen, Chunhua Shen:
Diffusion Models Trained with Large Data Are Transferable Visual Models. CoRR abs/2403.06090 (2024) - [i383]Kangyang Xie, Binbin Yang, Hao Chen, Meng Wang, Cheng Zou, Hui Xue, Ming Yang, Chunhua Shen:
Zippo: Zipping Color and Transparency Distributions into a Single Diffusion Model. CoRR abs/2403.11077 (2024) - [i382]Yongtao Ge, Wenjia Wang, Yongfan Chen, Hao Chen, Chunhua Shen:
3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models. CoRR abs/2403.11111 (2024) - [i381]Gan Pei, Jiangning Zhang, Menghan Hu, Guangtao Zhai, Chengjie Wang, Zhenyu Zhang, Jian Yang, Chunhua Shen, Dacheng Tao:
Deepfake Generation and Detection: A Benchmark and Survey. CoRR abs/2403.17881 (2024) - [i380]Mu Hu, Wei Yin, Chi Zhang, Zhipeng Cai, Xiaoxiao Long, Hao Chen, Kaixuan Wang, Gang Yu, Chunhua Shen, Shaojie Shen:
Metric3D v2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation. CoRR abs/2404.15506 (2024) - [i379]Yuliang Liu, Mingxin Huang, Hao Yan, Linger Deng, Weijia Wu, Hao Lu, Chunhua Shen, Lianwen Jin, Xiang Bai:
VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-domain Generalization. CoRR abs/2404.19652 (2024) - [i378]Chengxiang Fan, Muzhi Zhu, Hao Chen, Yang Liu, Weijia Wu, Huaqi Zhang, Chunhua Shen:
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data. CoRR abs/2405.10185 (2024) - [i377]Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu:
On the Trajectory Regularity of ODE-based Diffusion Sampling. CoRR abs/2405.11326 (2024) - [i376]Ganggui Ding, Canyu Zhao, Wen Wang, Zhen Yang, Zide Liu, Hao Chen, Chunhua Shen:
FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition. CoRR abs/2405.13870 (2024) - [i375]Muzhi Zhu, Chengxiang Fan, Hao Chen, Yang Liu, Weian Mao, Xiaogang Xu, Chunhua Shen:
Generative Active Learning for Long-tailed Instance Segmentation. CoRR abs/2406.02435 (2024) - [i374]Ke Li, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Cheng, Chunhua Shen:
Floating Anchor Diffusion Model for Multi-motif Scaffolding. CoRR abs/2406.03141 (2024) - [i373]Yongtao Ge, Guangkai Xu, Zhiyue Zhao, Libo Sun, Zheng Huang, Yanlong Sun, Hao Chen, Chunhua Shen:
GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models. CoRR abs/2406.12671 (2024) - [i372]Hanxi Li, Jingqi Wu, Lin Yuanbo Wu, Hao Chen, Deyin Liu, Chunhua Shen:
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization. CoRR abs/2407.03130 (2024) - [i371]Zhekai Chen, Wen Wang, Zhen Yang, Zeqing Yuan, Hao Chen, Chunhua Shen:
FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior. CoRR abs/2407.04947 (2024) - [i370]Canyu Zhao, Mingyu Liu, Wen Wang, Jianlong Yuan, Hao Chen, Bo Zhang, Chunhua Shen:
MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequence. CoRR abs/2407.16655 (2024) - [i369]Dawei Yan, Pengcheng Li, Yang Li, Hao Chen, Qingguo Chen, Weihua Luo, Wei Dong, Qingsen Yan, Haokui Zhang, Chunhua Shen:
TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings. CoRR abs/2409.09564 (2024) - [i368]Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen:
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation. CoRR abs/2410.02369 (2024) - [i367]Yang Liu, Chenchen Jing, Hengtao Li, Muzhi Zhu, Hao Chen, Xinlong Wang, Chunhua Shen:
A Simple Image Segmentation Framework via In-Context Examples. CoRR abs/2410.04842 (2024) - [i366]Xiaoran Jiao, Weian Mao, Wengong Jin, Peiyuan Yang, Hao Cheng, Chunhua Shen:
Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions. CoRR abs/2410.09543 (2024) - [i365]Jiawen Zhu, Yew-Soon Ong, Chunhua Shen, Guansong Pang:
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection. CoRR abs/2410.10289 (2024) - [i364]Honghui Yang, Di Huang, Wei Yin, Chunhua Shen, Haifeng Liu, Xiaofei He, Binbin Lin, Wanli Ouyang, Tong He:
Depth Any Video with Scalable Synthetic Data. CoRR abs/2410.10815 (2024) - [i363]Wen Wang, Qiuyu Wang, Kecheng Zheng, Hao Ouyang, Zhekai Chen, Biao Gong, Hao Chen, Yujun Shen, Chunhua Shen:
Framer: Interactive Frame Interpolation. CoRR abs/2410.18978 (2024) - 2023
- [j167]Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Chunhua Shen, Zhiguo Cao:
From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting. Int. J. Comput. Vis. 131(7): 1722-1740 (2023) - [j166]Yan Yan, Ying Shu, Si Chen, Jing-Hao Xue, Chunhua Shen, Hanzi Wang:
SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with Limited Labeled Data. Int. J. Comput. Vis. 131(8): 2097-2121 (2023) - [j165]Yuling Xi, Hao Chen, Ning Wang, Peng Wang, Yanning Zhang, Chunhua Shen, Yifan Liu:
A Dynamic Feature Interaction Framework for Multi-task Visual Perception. Int. J. Comput. Vis. 131(11): 2977-2993 (2023) - [j164]Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Chunhua Shen, Rongrong Ji, Liujuan Cao:
Super Vision Transformer. Int. J. Comput. Vis. 131(12): 3136-3151 (2023) - [j163]Zhi Tian, Bowen Zhang, Hao Chen, Chunhua Shen:
Instance and Panoptic Segmentation Using Conditional Convolutions. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 669-680 (2023) - [j162]Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen:
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5632-5648 (2023) - [j161]Tong He, Chunhua Shen, Anton van den Hengel:
Dynamic Convolution for 3D Point Cloud Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5697-5711 (2023) - [j160]Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Simon Chen, Yifan Liu, Chunhua Shen:
Towards Accurate Reconstruction of 3D Scene Shape From A Single Monocular Image. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6480-6494 (2023) - [j159]Yifan Liu, Changyong Shu, Jingdong Wang, Chunhua Shen:
Structured Knowledge Distillation for Dense Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7035-7049 (2023) - [j158]Jing Liu, Bohan Zhuang, Peng Chen, Chunhua Shen, Jianfei Cai, Mingkui Tan:
Single-Path Bit Sharing for Automatic Loss-Aware Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12459-12473 (2023) - [j157]Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen:
Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14905-14919 (2023) - [j156]Yuliang Liu, Jiaxin Zhang, Dezhi Peng, Mingxin Huang, Xinyu Wang, Jingqun Tang, Can Huang, Dahua Lin, Chunhua Shen, Xiang Bai, Lianwen Jin:
SPTS v2: Single-Point Scene Text Spotting. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15665-15679 (2023) - [j155]Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong:
DenseCL: A simple framework for self-supervised dense visual pre-training. Vis. Informatics 7(1): 30-40 (2023) - [c253]Yongtao Ge, Qiang Zhou, Xinlong Wang, Chunhua Shen, Zhibin Wang, Hao Li:
Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations. AAAI 2023: 667-675 - [c252]Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen:
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. AAAI 2023: 2101-2109 - [c251]Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang:
Images Speak in Images: A Generalist Painter for In-Context Visual Learning. CVPR 2023: 6830-6839 - [c250]Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen:
Learning Conditional Attributes for Compositional Zero-Shot Learning. CVPR 2023: 11197-11206 - [c249]Kaining Ying, Qing Zhong, Weian Mao, Zhenhua Wang, Hao Chen, Lin Yuanbo Wu, Yifan Liu, Chengxiang Fan, Yunzhi Zhuge, Chunhua Shen:
CTVIS: Consistent Training for Online Video Instance Segmentation. ICCV 2023: 899-908 - [c248]Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen:
SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning. ICCV 2023: 999-1008 - [c247]Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang:
SegGPT: Towards Segmenting Everything In Context. ICCV 2023: 1130-1140 - [c246]Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, Chunhua Shen:
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models. ICCV 2023: 1206-1217 - [c245]Wenjia Wang, Yongtao Ge, Haiyi Mei, Zhongang Cai, Qingping Sun, Yanjun Wang, Chunhua Shen, Lei Yang, Taku Komura:
Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction. ICCV 2023: 3902-3912 - [c244]Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen, Fang Wan:
Generative Prompt Model for Weakly Supervised Object Localization. ICCV 2023: 6328-6338 - [c243]Chi Zhang, Wei Yin, Gang Yu, Zhibin Wang, Tao Chen, Bin Fu, Joey Tianyi Zhou, Chunhua Shen:
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering. ICCV 2023: 8917-8927 - [c242]Wei Yin, Chi Zhang, Hao Chen, Zhipeng Cai, Gang Yu, Kaixuan Wang, Xiaozhi Chen, Chunhua Shen:
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image. ICCV 2023: 9009-9019 - [c241]Guangkai Xu, Wei Yin, Hao Chen, Chunhua Shen, Kai Cheng, Feng Zhao:
FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models. ICCV 2023: 9276-9286 - [c240]Xiangxiang Chu, Zhi Tian, Bo Zhang, Xinlong Wang, Chunhua Shen:
Conditional Positional Encodings for Vision Transformers. ICLR 2023 - [c239]Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen:
A Survey on Efficient Training of Transformers. IJCAI 2023: 6823-6831 - [c238]Guansong Pang, Chunhua Shen, Huidong Jin, Anton van den Hengel:
Deep Weakly-supervised Anomaly Detection. KDD 2023: 1795-1807 - [c237]Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen:
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models. NeurIPS 2023 - [i362]Yuliang Liu, Jiaxin Zhang, Dezhi Peng, Mingxin Huang, Xinyu Wang, Jingqun Tang, Can Huang, Dahua Lin, Chunhua Shen, Xiang Bai, Lianwen Jin:
SPTS v2: Single-Point Scene Text Spotting. CoRR abs/2301.01635 (2023) - [i361]Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen:
A Survey on Efficient Training of Transformers. CoRR abs/2302.01107 (2023) - [i360]Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen:
Traffic Scene Parsing through the TSP6K Dataset. CoRR abs/2303.02835 (2023) - [i359]Choubo Ding, Guansong Pang, Chunhua Shen:
Background Matters: Enhancing Out-of-distribution Detection with Domain Features. CoRR abs/2303.08727 (2023) - [i358]Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, Chunhua Shen:
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models. CoRR abs/2303.11681 (2023) - [i357]Wenjia Wang, Yongtao Ge, Haiyi Mei, Zhongang Cai, Qingping Sun, Yanjun Wang, Chunhua Shen, Lei Yang, Taku Komura:
Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction. CoRR abs/2303.13796 (2023) - [i356]Wen Wang, Kangyang Xie, Zide Liu, Hao Chen, Yue Cao, Xinlong Wang, Chunhua Shen:
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models. CoRR abs/2303.17599 (2023) - [i355]Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang:
SegGPT: Segmenting Everything In Context. CoRR abs/2304.03284 (2023) - [i354]Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, Chunhua Shen:
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching. CoRR abs/2305.13310 (2023) - [i353]Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen:
Learning Conditional Attributes for Compositional Zero-Shot Learning. CoRR abs/2305.17940 (2023) - [i352]Mingyang Zhang, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang:
Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning. CoRR abs/2305.18403 (2023) - [i351]Chi Zhang, Yiwen Chen, Yijun Fu, Zhenglin Zhou, Gang Yu, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, Chunhua Shen:
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation. CoRR abs/2305.19012 (2023) - [i350]Defang Chen, Zhenyu Zhou, Jian-Ping Mei, Chunhua Shen, Chun Chen, Can Wang:
A Geometric Perspective on Diffusion Models. CoRR abs/2305.19947 (2023) - [i349]Hanxi Li, Jingqi Wu, Hao Chen, Mingwen Wang, Chunhua Shen:
Efficient Anomaly Detection with Budget Annotation Using Semi-Supervised Residual Transformer. CoRR abs/2306.03492 (2023) - [i348]Yuling Xi, Hao Chen, Ning Wang, Peng Wang, Yanning Zhang, Chunhua Shen, Yifan Liu:
A Dynamic Feature Interaction Framework for Multi-task Visual Perception. CoRR abs/2306.05061 (2023) - [i347]Bowen Zhang, Liyang Liu, Minh-Hieu Phan, Zhi Tian, Chunhua Shen, Yifan Liu:
SegViTv2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers. CoRR abs/2306.06289 (2023) - [i346]Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen, Fang Wan:
Generative Prompt Model for Weakly Supervised Object Localization. CoRR abs/2307.09756 (2023) - [i345]Wei Yin, Chi Zhang, Hao Chen, Zhipeng Cai, Gang Yu, Kaixuan Wang, Xiaozhi Chen, Chunhua Shen:
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image. CoRR abs/2307.10984 (2023) - [i344]Kaining Ying, Qing Zhong, Weian Mao, Zhenhua Wang, Hao Chen, Lin Yuanbo Wu, Yifan Liu, Chengxiang Fan, Yunzhi Zhuge, Chunhua Shen:
CTVIS: Consistent Training for Online Video Instance Segmentation. CoRR abs/2307.12616 (2023) - [i343]Guangkai Xu, Wei Yin, Hao Chen, Chunhua Shen, Kai Cheng, Feng Zhao:
FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models. CoRR abs/2308.05733 (2023) - [i342]Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen:
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models. CoRR abs/2308.06160 (2023) - [i341]Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen:
SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning. CoRR abs/2308.06531 (2023) - [i340]Hanxi Li, Jianfei Hu, Bo Li, Hao Chen, Yongbin Zheng, Chunhua Shen:
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval. CoRR abs/2308.06748 (2023) - [i339]Yanda Li, Chi Zhang, Gang Yu, Zhibin Wang, Bin Fu, Guosheng Lin, Chunhua Shen, Ling Chen, Yunchao Wei:
StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data. CoRR abs/2308.10253 (2023) - [i338]Chi Zhang, Wei Yin, Gang Yu, Zhibin Wang, Tao Chen, Bin Fu, Joey Tianyi Zhou, Chunhua Shen:
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering. CoRR abs/2309.09724 (2023) - [i337]Haoyi Zhu, Honghui Yang, Xiaoyang Wu, Di Huang, Sha Zhang, Xianglong He, Tong He, Hengshuang Zhao, Chunhua Shen, Yu Qiao, Wanli Ouyang:
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm. CoRR abs/2310.08586 (2023) - [i336]Ruibo Li, Chi Zhang, Zhe Wang, Chunhua Shen, Guosheng Lin:
Self-Supervised 3D Scene Flow Estimation and Motion Prediction using Local Rigidity Prior. CoRR abs/2310.11284 (2023) - [i335]Songyan Zhang, Xinyu Sun, Hao Chen, Bo Li, Chunhua Shen:
RGM: A Robust Generalist Matching Model. CoRR abs/2310.11755 (2023) - [i334]Weian Mao, Muzhi Zhu, Zheng Sun, Shuaike Shen, Lin Yuanbo Wu, Hao Chen, Chunhua Shen:
De novo protein design using geometric vector field networks. CoRR abs/2310.11802 (2023) - [i333]Zhen Yang, Dinggang Gui, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen:
Object-aware Inversion and Reassembly for Image Editing. CoRR abs/2310.12149 (2023) - [i332]Wen Wang, Canyu Zhao, Hao Chen, Zhekai Chen, Kecheng Zheng, Chunhua Shen:
AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort. CoRR abs/2311.11243 (2023) - [i331]Zhe Zhang, Gaochang Wu, Jing Zhang, Chunhua Shen, Dacheng Tao, Tianyou Chai:
DA-STC: Domain Adaptive Video Semantic Segmentation via Spatio-Temporal Consistency. CoRR abs/2311.13254 (2023) - [i330]Weijia Wu, Zhuang Li, Yefei He, Mike Zheng Shou, Chunhua Shen, Lele Cheng, Yan Li, Tingting Gao, Di Zhang, Zhongyuan Wang:
Paragraph-to-Image Generation with Information-Enriched Diffusion Model. CoRR abs/2311.14284 (2023) - [i329]Wen Wang, Kecheng Zheng, Qiuyu Wang, Hao Chen, Zifan Shi, Ceyuan Yang, Yujun Shen, Chunhua Shen:
GenDeF: Learning Generative Deformation Field for Video Generation. CoRR abs/2312.04561 (2023) - [i328]Xiangxiang Chu, Limeng Qiao, Xinyang Lin, Shuang Xu, Yang Yang, Yiming Hu, Fei Wei, Xinyu Zhang, Bo Zhang, Xiaolin Wei, Chunhua Shen:
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices. CoRR abs/2312.16886 (2023) - 2022
- [j154]Luyuan Wang, Hanyuan Zhang, Qinjie Xiao, Hao Xu, Chunhua Shen, Xiaogang Jin:
Effective Eyebrow Matting with Domain Adaptation. Comput. Graph. Forum 41(7): 347-358 (2022) - [j153]Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel:
Deep Learning for Anomaly Detection: A Review. ACM Comput. Surv. 54(2): 38:1-38:38 (2022) - [j152]Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. Int. J. Comput. Vis. 130(1): 76-94 (2022) - [j151]Haokui Zhang, Ying Li, Hao Chen, Chengrong Gong, Zongwen Bai, Chunhua Shen:
Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration. Int. J. Comput. Vis. 130(1): 157-178 (2022) - [j150]Ying Cui, Dongyan Guo, Yanyan Shao, Zhenhua Wang, Chunhua Shen, Liyan Zhang, Shengyong Chen:
Joint Classification and Regression for Visual Tracking with Fully Convolutional Siamese Networks. Int. J. Comput. Vis. 130(2): 550-566 (2022) - [j149]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Peng Chen, Lingqiao Liu, Ian Reid:
Structured Binary Neural Networks for Image Recognition. Int. J. Comput. Vis. 130(9): 2081-2102 (2022) - [j148]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks With Local Coordinate Coding. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 211-227 (2022) - [j147]Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Index Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 242-255 (2022) - [j146]Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Jinsong Su, Deyu Meng, Yue Gao, Chunhua Shen:
Plenty is Plague: Fine-Grained Learning for Visual Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 697-709 (2022) - [j145]Zhi Tian, Chunhua Shen, Hao Chen, Tong He:
FCOS: A Simple and Strong Anchor-Free Object Detector. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1922-1933 (2022) - [j144]Wenhai Wang, Enze Xie, Xiang Li, Xuebo Liu, Ding Liang, Zhibo Yang, Tong Lu, Chunhua Shen:
PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5349-5367 (2022) - [j143]Bohan Zhuang, Mingkui Tan, Jing Liu, Lingqiao Liu, Ian Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6140-6152 (2022) - [j142]Peng Wang, Hui Li, Chunhua Shen:
Towards End-to-End Text Spotting in Natural Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7266-7281 (2022) - [j141]Wei Yin, Yifan Liu, Chunhua Shen:
Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7282-7295 (2022) - [j140]Yuliang Liu, Chunhua Shen, Lianwen Jin, Tong He, Peng Chen, Chongyu Liu, Hao Chen:
ABCNet v2: Adaptive Bezier-Curve Network for Real-Time End-to-End Text Spotting. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8048-8064 (2022) - [j139]Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li:
SOLO: A Simple Framework for Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8587-8601 (2022) - [j138]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Tat-Jun Chin, Chunhua Shen, Ian D. Reid:
Auto-Rectify Network for Unsupervised Indoor Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9802-9813 (2022) - [j137]Yang Zhao, Xiaohan Yu, Yongsheng Gao, Chunhua Shen:
Learning discriminative region representation for person retrieval. Pattern Recognit. 121: 108229 (2022) - [j136]Ying Cai, Yuliang Liu, Chunhua Shen, Lianwen Jin, Yidong Li, Daji Ergu:
Arbitrarily shaped scene text detection with dynamic convolution. Pattern Recognit. 127: 108608 (2022) - [j135]Tao Mei, Jason J. Corso, Gunhee Kim, Jiebo Luo, Chunhua Shen, Hanwang Zhang:
Guest Editorial Introduction to the Special Section on Video and Language. IEEE Trans. Circuits Syst. Video Technol. 32(1): 1-4 (2022) - [j134]Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia:
Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation. IEEE Trans. Image Process. 31: 894-905 (2022) - [j133]Lin Cheng, Pengfei Fang, Yanjie Liang, Liao Zhang, Chunhua Shen, Hanzi Wang:
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency. IEEE Trans. Image Process. 31: 2529-2540 (2022) - [j132]Xinyu Zhang, Rufeng Zhang, Jiewei Cao, Dong Gong, Mingyu You, Chunhua Shen:
Part-Guided Attention Learning for Vehicle Instance Retrieval. IEEE Trans. Intell. Transp. Syst. 23(4): 3048-3060 (2022) - [j131]Liang Liu, Zhiguo Cao, Hao Lu, Haipeng Xiong, Chunhua Shen:
NSSNet: Scale-Aware Object Counting With Non-Scale Suppression. IEEE Trans. Intell. Transp. Syst. 23(4): 3103-3114 (2022) - [j130]Guansong Pang, Charu Aggarwal, Chunhua Shen, Nicu Sebe:
Editorial Deep Learning for Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2282-2286 (2022) - [j129]Libo Sun, Wei Yin, Enze Xie, Zhengrong Li, Changming Sun, Chunhua Shen:
Improving Monocular Visual Odometry Using Learned Depth. IEEE Trans. Robotics 38(5): 3173-3186 (2022) - [c236]Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel:
Retrieval Augmented Classification for Long-Tail Visual Recognition. CVPR 2022: 6949-6959 - [c235]Choubo Ding, Guansong Pang, Chunhua Shen:
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection. CVPR 2022: 7378-7388 - [c234]Yutong Dai, Brian L. Price, He Zhang, Chunhua Shen:
Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation. CVPR 2022: 11697-11706 - [c233]Wenqiang Zhang, Zilong Huang, Guozhong Luo, Tao Chen, Xinggang Wang, Wenyu Liu, Gang Yu, Chunhua Shen:
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation. CVPR 2022: 12073-12083 - [c232]Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, José M. Álvarez:
FreeSOLO: Learning to Segment Objects without Annotations. CVPR 2022: 14156-14166 - [c231]Ruibo Li, Chi Zhang, Guosheng Lin, Zhe Wang, Chunhua Shen:
RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior. CVPR 2022: 16938-16947 - [c230]Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen:
Efficient Decoder-Free Object Detection with Transformers. ECCV (10) 2022: 70-86 - [c229]Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, Anton van den Hengel:
Poseur: Direct Human Pose Regression with Transformers. ECCV (6) 2022: 72-88 - [c228]Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen:
DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. ECCV (26) 2022: 237-253 - [c227]Tong He, Wei Yin, Chunhua Shen, Anton van den Hengel:
PointInst3D: Segmenting 3D Instances by Points. ECCV (3) 2022: 286-302 - [c226]Dezhi Peng, Xinyu Wang, Yuliang Liu, Jiaxin Zhang, Mingxin Huang, Songxuan Lai, Jing Li, Shenggao Zhu, Dahua Lin, Chunhua Shen, Xiang Bai, Lianwen Jin:
SPTS: Single-Point Text Spotting. ACM Multimedia 2022: 4272-4281 - [c225]Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu:
SegViT: Semantic Segmentation with Plain Vision Transformers. NeurIPS 2022 - [c224]Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu:
DENSE: Data-Free One-Shot Federated Learning. NeurIPS 2022 - [c223]Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Rongrong Ji, Chunhua Shen:
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining. NeurIPS 2022 - [c222]Shuai Jia, Bangjie Yin, Taiping Yao, Shouhong Ding, Chunhua Shen, Xiaokang Yang, Chao Ma:
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition. NeurIPS 2022 - [c221]Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen:
Multi-dataset Training of Transformers for Robust Action Recognition. NeurIPS 2022 - [c220]Chengzhi Lin, Ancong Wu, Junwei Liang, Jun Zhang, Wenhang Ge, Wei-Shi Zheng, Chunhua Shen:
Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval. NeurIPS 2022 - [c219]Zhi Tian, Xiangxiang Chu, Xiaoming Wang, Xiaolin Wei, Chunhua Shen:
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images. NeurIPS 2022 - [c218]Chi Zhang, Wei Yin, Billzb Wang, Gang Yu, Bin Fu, Chunhua Shen:
Hierarchical Normalization for Robust Monocular Depth Estimation. NeurIPS 2022 - [i327]Yutong Dai, Brian L. Price, He Zhang, Chunhua Shen:
Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation. CoRR abs/2201.06889 (2022) - [i326]Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, Anton van den Hengel:
Poseur: Direct Human Pose Regression with Transformers. CoRR abs/2201.07412 (2022) - [i325]Wei Yin, Yifan Liu, Chunhua Shen, Anton van den Hengel, Baichuan Sun:
The devil is in the labels: Semantic segmentation from sentences. CoRR abs/2202.02002 (2022) - [i324]Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel:
Retrieval Augmented Classification for Long-Tail Visual Recognition. CoRR abs/2202.11233 (2022) - [i323]Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, José M. Álvarez:
FreeSOLO: Learning to Segment Objects without Annotations. CoRR abs/2202.12181 (2022) - [i322]Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang:
Efficient Video Segmentation Models with Per-frame Inference. CoRR abs/2202.12427 (2022) - [i321]Xiaojie Chu, Yongtao Wang, Chunhua Shen, Jingdong Chen, Wei Chu:
Training Protocol Matters: Towards Accurate Scene Text Recognition via Training Protocol Searching. CoRR abs/2203.06696 (2022) - [i320]Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen:
PointAttN: You Only Need Attention for Point Cloud Completion. CoRR abs/2203.08485 (2022) - [i319]Weijia Wu, Debing Zhang, Ying Fu, Chunhua Shen, Hong Zhou, Yuanqiang Cai, Ping Luo:
End-to-End Video Text Spotting with Transformer. CoRR abs/2203.10539 (2022) - [i318]Choubo Ding, Guansong Pang, Chunhua Shen:
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection. CoRR abs/2203.14506 (2022) - [i317]Libo Sun, Wei Yin, Enze Xie, Zhengrong Li, Changming Sun, Chunhua Shen:
Improving Monocular Visual Odometry Using Learned Depth. CoRR abs/2204.01268 (2022) - [i316]Wenqiang Zhang, Zilong Huang, Guozhong Luo, Tao Chen, Xinggang Wang, Wenyu Liu, Gang Yu, Chunhua Shen:
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation. CoRR abs/2204.05525 (2022) - [i315]Tong He, Chunhua Shen, Anton van den Hengel:
PointInst3D: Segmenting 3D Instances by Points. CoRR abs/2204.11402 (2022) - [i314]Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Chunhua Shen:
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining. CoRR abs/2204.14095 (2022) - [i313]Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji:
Super Vision Transformer. CoRR abs/2205.11397 (2022) - [i312]Zhi Tian, Xiangxiang Chu, Xiaoming Wang, Xiaolin Wei, Chunhua Shen:
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images. CoRR abs/2205.13764 (2022) - [i311]Yongtao Ge, Qiang Zhou, Xinlong Wang, Chunhua Shen, Zhibin Wang, Hao Li:
Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations. CoRR abs/2206.00274 (2022) - [i310]Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen:
Efficient Decoder-free Object Detection with Transformers. CoRR abs/2206.06829 (2022) - [i309]Peixian Chen, Kekai Sheng, Mengdan Zhang, Yunhang Shen, Ke Li, Chunhua Shen:
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization. CoRR abs/2206.11134 (2022) - [i308]Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Simon Chen, Chunhua Shen:
Towards Domain-agnostic Depth Completion. CoRR abs/2207.14466 (2022) - [i307]Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Simon Chen, Yifan Liu, Chunhua Shen:
Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Image. CoRR abs/2208.13241 (2022) - [i306]Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen:
Multi-dataset Training of Transformers for Robust Action Recognition. CoRR abs/2209.12362 (2022) - [i305]Chengzhi Lin, Ancong Wu, Junwei Liang, Jun Zhang, Wenhang Ge, Wei-Shi Zheng, Chunhua Shen:
Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval. CoRR abs/2209.13307 (2022) - [i304]Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu:
SegViT: Semantic Segmentation with Plain Vision Transformers. CoRR abs/2210.05844 (2022) - [i303]Shuai Jia, Bangjie Yin, Taiping Yao, Shouhong Ding, Chunhua Shen, Xiaokang Yang, Chao Ma:
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition. CoRR abs/2210.06871 (2022) - [i302]Chi Zhang, Wei Yin, Zhibin Wang, Gang Yu, Bin Fu, Chunhua Shen:
Hierarchical Normalization for Robust Monocular Depth Estimation. CoRR abs/2210.09670 (2022) - [i301]Libo Sun, Jia-Wang Bian, Huangying Zhan, Wei Yin, Ian D. Reid, Chunhua Shen:
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes. CoRR abs/2211.03660 (2022) - [i300]Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen:
Learning from partially labeled data for multi-organ and tumor segmentation. CoRR abs/2211.06894 (2022) - [i299]Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen:
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. CoRR abs/2212.00465 (2022) - [i298]Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang:
Images Speak in Images: A Generalist Painter for In-Context Visual Learning. CoRR abs/2212.02499 (2022) - 2021
- [j128]Yutong Dai, Hao Lu, Chunhua Shen:
Towards Light-Weight Portrait Matting via Parameter Sharing. Comput. Graph. Forum 40(1): 151-164 (2021) - [j127]Canjie Luo, Qingxiang Lin, Yuliang Liu, Lianwen Jin, Chunhua Shen:
Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild. Int. J. Comput. Vis. 129(4): 960-976 (2021) - [j126]Yuliang Liu, Tong He, Hao Chen, Xinyu Wang, Canjie Luo, Shuaitao Zhang, Chunhua Shen, Lianwen Jin:
Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection. Int. J. Comput. Vis. 129(6): 1972-1992 (2021) - [j125]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian Reid:
Unsupervised Scale-Consistent Depth Learning from Video. Int. J. Comput. Vis. 129(9): 2548-2564 (2021) - [j124]Changqian Yu, Changxin Gao, Jingbo Wang, Gang Yu, Chunhua Shen, Nong Sang:
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation. Int. J. Comput. Vis. 129(11): 3051-3068 (2021) - [j123]Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang:
NAS-FCOS: Efficient Search for Object Detection Architectures. Int. J. Comput. Vis. 129(12): 3299-3312 (2021) - [j122]Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen:
Ordered or Orderless: A Revisit for Video Based Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1460-1466 (2021) - [j121]Lei Tian, Peng Wang, Guoqiang Liang, Chunhua Shen:
An adversarial human pose estimation network injected with graph structure. Pattern Recognit. 115: 107863 (2021) - [j120]Yang Zhao, Chunhua Shen, Xiaohan Yu, Hao Chen, Yongsheng Gao, Shengwu Xiong:
Learning deep part-aware embedding for person retrieval. Pattern Recognit. 116: 107938 (2021) - [j119]Genshun Dong, Yan Yan, Chunhua Shen, Hanzi Wang:
Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes. IEEE Trans. Intell. Transp. Syst. 22(6): 3258-3274 (2021) - [j118]Linjiang Zhang, Peng Wang, Hui Li, Zhen Li, Chunhua Shen, Yanning Zhang:
A Robust Attentional Framework for License Plate Recognition in the Wild. IEEE Trans. Intell. Transp. Syst. 22(11): 6967-6976 (2021) - [j117]Xiu-Shen Wei, Han-Jia Ye, Xin Mu, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Multi-Instance Learning With Emerging Novel Class. IEEE Trans. Knowl. Data Eng. 33(5): 2109-2120 (2021) - [j116]Yutong Xie, Jianpeng Zhang, Hao Lu, Chunhua Shen, Yong Xia:
SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors. IEEE Trans. Medical Imaging 40(1): 286-296 (2021) - [j115]Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia:
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection. IEEE Trans. Medical Imaging 40(3): 879-890 (2021) - [j114]Sheng Zhang, Yuliang Liu, Lianwen Jin, Zhongrong Wei, Chunhua Shen:
OPMP: An Omnidirectional Pyramid Mask Proposal Network for Arbitrary-Shape Scene Text Detection. IEEE Trans. Multim. 23: 454-467 (2021) - [c217]Chunlei Liu, Peng Chen, Bohan Zhuang, Chunhua Shen, Baochang Zhang, Wenrui Ding:
SA-BNN: State-Aware Binary Neural Network. AAAI 2021: 2091-2099 - [c216]Xinyu Zhang, Xinlong Wang, Jia-Wang Bian, Chunhua Shen, Mingyu You:
Diverse Knowledge Distillation for End-to-End Person Search. AAAI 2021: 3412-3420 - [c215]Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen:
AQD: Towards Accurate Quantized Object Detection. CVPR 2021: 104-113 - [c214]Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Long Mai, Simon Chen, Chunhua Shen:
Learning To Recover 3D Scene Shape From a Single Image. CVPR 2021: 204-213 - [c213]Tong He, Chunhua Shen, Anton van den Hengel:
DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution. CVPR 2021: 354-363 - [c212]Ruibo Li, Guosheng Lin, Tong He, Fayao Liu, Chunhua Shen:
HCRF-Flow: Scene Flow From Point Clouds With Continuous High-Order CRFs and Position-Aware Flow Embedding. CVPR 2021: 364-373 - [c211]Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen:
DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets. CVPR 2021: 1195-1204 - [c210]Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li:
Dense Contrastive Learning for Self-Supervised Visual Pre-Training. CVPR 2021: 3024-3033 - [c209]Yifan Liu, Hao Chen, Yu Chen, Wei Yin, Chunhua Shen:
Generic Perceptual Loss for Modeling Structured Output Dependencies. CVPR 2021: 5424-5432 - [c208]Zhi Tian, Chunhua Shen, Xinlong Wang, Hao Chen:
BoxInst: High-Performance Instance Segmentation With Box Annotations. CVPR 2021: 5443-5452 - [c207]Yutong Dai, Hao Lu, Chunhua Shen:
Learning Affinity-Aware Upsampling for Deep Image Matting. CVPR 2021: 6841-6850 - [c206]Delian Ruan, Yan Yan, Shenqi Lai, Zhenhua Chai, Chunhua Shen, Hanzi Wang:
Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition. CVPR 2021: 7660-7669 - [c205]Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, Huaxia Xia:
End-to-End Video Instance Segmentation With Transformers. CVPR 2021: 8741-8750 - [c204]Weian Mao, Zhi Tian, Xinlong Wang, Chunhua Shen:
FCPose: Fully Convolutional Multi-Person Pose Estimation With Dynamic Instance-Aware Convolutions. CVPR 2021: 9034-9043 - [c203]Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen:
Graph Attention Tracking. CVPR 2021: 9543-9552 - [c202]Ying Shu, Yan Yan, Si Chen, Jing-Hao Xue, Chunhua Shen, Hanzi Wang:
Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data. CVPR 2021: 11916-11925 - [c201]Peng Chen, Bohan Zhuang, Chunhua Shen:
FATNN: Fast and Accurate Ternary Neural Networks*. ICCV 2021: 5199-5208 - [c200]Changyong Shu, Yifan Liu, Jianfei Gao, Zheng Yan, Chunhua Shen:
Channel-wise Knowledge Distillation for Dense Prediction*. ICCV 2021: 5291-5300 - [c199]Jianlong Yuan, Yifan Liu, Chunhua Shen, Zhibin Wang, Hao Li:
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation*. ICCV 2021: 8209-8218 - [c198]Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen:
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning. ICCV 2021: 9415-9424 - [c197]Cheng Yan, Guansong Pang, Lei Wang, Jile Jiao, Xuetao Feng, Chunhua Shen, Jingjing Li:
BV-Person: A Large-scale Dataset for Bird-view Person Re-identification. ICCV 2021: 10923-10932 - [c196]Cheng Yan, Guansong Pang, Jile Jiao, Xiao Bai, Xuetao Feng, Chunhua Shen:
Occluded Person Re-Identification with Single-scale Global Representations. ICCV 2021: 11855-11864 - [c195]Lingtong Kong, Chunhua Shen, Jie Yang:
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation. ICRA 2021: 10310-10316 - [c194]Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao:
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. KDD 2021: 1298-1308 - [c193]Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia:
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. MICCAI (3) 2021: 171-180 - [c192]Hu Wang, Peng Chen, Bohan Zhuang, Chunhua Shen:
Fully Quantized Image Super-Resolution Networks. ACM Multimedia 2021: 639-647 - [c191]Yunzhi Zhuge, Chunhua Shen:
Deep Reasoning Network for Few-shot Semantic Segmentation. ACM Multimedia 2021: 5344-5352 - [c190]Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen:
Twins: Revisiting the Design of Spatial Attention in Vision Transformers. NeurIPS 2021: 9355-9366 - [c189]Bowen Zhang, Yifan Liu, Zhi Tian, Chunhua Shen:
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation. NeurIPS 2021: 17388-17399 - [i297]Jing Liu, Bohan Zhuang, Peng Chen, Yong Guo, Chunhua Shen, Jianfei Cai, Mingkui Tan:
ABS: Automatic Bit Sharing for Model Compression. CoRR abs/2101.04935 (2021) - [i296]Hu Wang, Hao Chen, Qi Wu, Congbo Ma, Yidong Li, Chunhua Shen:
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline. CoRR abs/2101.09640 (2021) - [i295]Qiang Zhou, Chaohui Yu, Chunhua Shen, Zhibin Wang, Hao Li:
Object Detection Made Simpler by Eliminating Heuristic NMS. CoRR abs/2101.11782 (2021) - [i294]Zhi Tian, Bowen Zhang, Hao Chen, Chunhua Shen:
Instance and Panoptic Segmentation Using Conditional Convolutions. CoRR abs/2102.03026 (2021) - [i293]Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia:
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. CoRR abs/2103.03024 (2021) - [i292]Wei Yin, Yifan Liu, Chunhua Shen:
Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction. CoRR abs/2103.04216 (2021) - [i291]Lingtong Kong, Chunhua Shen, Jie Yang:
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation. CoRR abs/2103.04524 (2021) - [i290]Yifan Liu, Hao Chen, Yu Chen, Wei Yin, Chunhua Shen:
Generic Perceptual Loss for Modeling Structured Output Dependencies. CoRR abs/2103.10571 (2021) - [i289]Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang:
TFPose: Direct Human Pose Estimation with Transformers. CoRR abs/2103.15320 (2021) - [i288]Lei Tian, Guoqiang Liang, Peng Wang, Chunhua Shen:
An Adversarial Human Pose Estimation Network Injected with Graph Structure. CoRR abs/2103.15534 (2021) - [i287]Delian Ruan, Yan Yan, Shenqi Lai, Zhenhua Chai, Chunhua Shen, Hanzi Wang:
Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition. CoRR abs/2104.05160 (2021) - [i286]Jianlong Yuan, Yifan Liu, Chunhua Shen, Zhibin Wang, Hao Li:
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation. CoRR abs/2104.07256 (2021) - [i285]Hu Wang, Congbo Ma, Chunhua Shen:
Kernel Agnostic Real-world Image Super-resolution. CoRR abs/2104.09008 (2021) - [i284]Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen:
Twins: Revisiting Spatial Attention Design in Vision Transformers. CoRR abs/2104.13840 (2021) - [i283]Wenhai Wang, Enze Xie, Xiang Li, Xuebo Liu, Ding Liang, Zhibo Yang, Tong Lu, Chunhua Shen:
PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text. CoRR abs/2105.00405 (2021) - [i282]Yuliang Liu, Chunhua Shen, Lianwen Jin, Tong He, Peng Chen, Chongyu Liu, Hao Chen:
ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting. CoRR abs/2105.03620 (2021) - [i281]Ruibo Li, Guosheng Lin, Tong He, Fayao Liu, Chunhua Shen:
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding. CoRR abs/2105.07751 (2021) - [i280]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth Learning from Video. CoRR abs/2105.11610 (2021) - [i279]Weian Mao, Zhi Tian, Xinlong Wang, Chunhua Shen:
FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions. CoRR abs/2105.14185 (2021) - [i278]Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li:
SOLO: A Simple Framework for Instance Segmentation. CoRR abs/2106.15947 (2021) - [i277]Tong He, Chunhua Shen, Anton van den Hengel:
Dynamic Convolution for 3D Point Cloud Instance Segmentation. CoRR abs/2107.08392 (2021) - [i276]Bowen Zhang, Yifan Liu, Zhi Tian, Chunhua Shen:
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation. CoRR abs/2107.14428 (2021) - [i275]Guansong Pang, Choubo Ding, Chunhua Shen, Anton van den Hengel:
Explainable Deep Few-shot Anomaly Detection with Deviation Networks. CoRR abs/2108.00462 (2021) - [i274]Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen:
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning. CoRR abs/2109.05749 (2021) - [i273]Lin Cheng, Pengfei Fang, Yanjie Liang, Liao Zhang, Chunhua Shen, Hanzi Wang:
TSG: Target-Selective Gradient Backprop for Probing CNN Visual Saliency. CoRR abs/2110.05182 (2021) - [i272]Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang:
NAS-FCOS: Efficient Search for Object Detection Architectures. CoRR abs/2110.12423 (2021) - [i271]Dezhi Peng, Xinyu Wang, Yuliang Liu, Jiaxin Zhang, Mingxin Huang, Songxuan Lai, Shenggao Zhu, Jing Li, Dahua Lin, Chunhua Shen, Lianwen Jin:
SPTS: Single-Point Text Spotting. CoRR abs/2112.07917 (2021) - 2020
- [j113]Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang, Anton van den Hengel:
Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network. Int. J. Comput. Vis. 128(2): 479-499 (2020) - [j112]Guosheng Lin, Fayao Liu, Anton Milan, Chunhua Shen, Ian D. Reid:
RefineNet: Multi-Path Refinement Networks for Dense Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1228-1242 (2020) - [j111]Yu Chen, Chunhua Shen, Hao Chen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang:
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1654-1669 (2020) - [j110]Yang Zhao, Yifan Liu, Chunhua Shen, Yongsheng Gao, Shengwu Xiong:
MobileFAN: Transferring deep hidden representation for face alignment. Pattern Recognit. 100: 107114 (2020) - [j109]Wei Liu, Pingping Zhang, Xiaogang Chen, Chunhua Shen, Xiaolin Huang, Jie Yang:
Embedding Bilateral Filter in Least Squares for Efficient Edge-Preserving Image Smoothing. IEEE Trans. Circuits Syst. Video Technol. 30(1): 23-35 (2020) - [j108]Xinyu Wang, Chunhua Shen, Hanxi Li, Shugong Xu:
Human Detection Aided by Deeply Learned Semantic Masks. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2663-2673 (2020) - [j107]Yuanzhouhan Cao, Tianqi Zhao, Ke Xian, Chunhua Shen, Zhiguo Cao, Shugong Xu:
Monocular Depth Estimation With Augmented Ordinal Depth Relationships. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2674-2682 (2020) - [j106]Lei Zhang, Peng Wang, Lingqiao Liu, Chunhua Shen, Wei Wei, Yanning Zhang, Anton van den Hengel:
Towards Effective Deep Embedding for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2843-2852 (2020) - [j105]Liang Liu, Hao Lu, Haipeng Xiong, Ke Xian, Zhiguo Cao, Chunhua Shen:
Counting Objects by Blockwise Classification. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3513-3527 (2020) - [j104]Yanzhu Zhao, Chunhua Shen, Huibing Wang, Shengyong Chen:
Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval. IEEE Trans. Intell. Transp. Syst. 21(2): 723-734 (2020) - [j103]Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen:
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification. IEEE Trans. Medical Imaging 39(7): 2482-2493 (2020) - [j102]Yan Yan, Ying Huang, Si Chen, Chunhua Shen, Hanzi Wang:
Joint Deep Learning of Facial Expression Synthesis and Recognition. IEEE Trans. Multim. 22(11): 2792-2807 (2020) - [j101]Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Accurate Tensor Completion via Adaptive Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4170-4184 (2020) - [j100]Xi Peng, Hongyuan Zhu, Jiashi Feng, Chunhua Shen, Haixian Zhang, Joey Tianyi Zhou:
Deep Clustering With Sample-Assignment Invariance Prior. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4857-4868 (2020) - [j99]Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang:
Learning Deep Gradient Descent Optimization for Image Deconvolution. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5468-5482 (2020) - [j98]Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian Reid:
Real-time Image Smoothing via Iterative Least Squares. ACM Trans. Graph. 39(3): 28:1-28:24 (2020) - [c188]Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. AAAI 2020: 12071-12078 - [c187]Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li, Chunhua Shen:
Task-Aware Monocular Depth Estimation for 3D Object Detection. AAAI 2020: 12257-12264 - [c186]Zhibin Liao, Qi Wu, Chunhua Shen, Anton van den Hengel, Johan Verjans:
AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering. CLEF (Working Notes) 2020 - [c185]Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Neural Networks With a Full-Precision Auxiliary Module. CVPR 2020: 1485-1494 - [c184]Haokui Zhang, Ying Li, Hao Chen, Chunhua Shen:
Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising. CVPR 2020: 3654-3663 - [c183]Hao Chen, Kunyang Sun, Zhi Tian, Chunhua Shen, Yongming Huang, Youliang Yan:
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation. CVPR 2020: 8570-8578 - [c182]Yuliang Liu, Hao Chen, Chunhua Shen, Tong He, Lianwen Jin, Liangwei Wang:
ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network. CVPR 2020: 9806-9815 - [c181]Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel:
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments. CVPR 2020: 9979-9988 - [c180]Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton van den Hengel, Liangwei Wang:
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. CVPR 2020: 10123-10132 - [c179]Rufeng Zhang, Zhi Tian, Chunhua Shen, Mingyu You, Youliang Yan:
Mask Encoding for Single Shot Instance Segmentation. CVPR 2020: 10223-10232 - [c178]Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang:
NAS-FCOS: Fast Neural Architecture Search for Object Detection. CVPR 2020: 11940-11948 - [c177]Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai:
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. CVPR 2020: 12170-12179 - [c176]Enze Xie, Peize Sun, Xiaoge Song, Wenhai Wang, Xuebo Liu, Ding Liang, Chunhua Shen, Ping Luo:
PolarMask: Single Shot Instance Segmentation With Polar Representation. CVPR 2020: 12190-12199 - [c175]Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen:
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers. CVPR 2020: 12200-12210 - [c174]Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang:
Context Prior for Scene Segmentation. CVPR 2020: 12413-12422 - [c173]Hu Wang, Qi Wu, Chunhua Shen:
Soft Expert Reward Learning for Vision-and-Language Navigation. ECCV (9) 2020: 126-141 - [c172]Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen:
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning. ECCV (10) 2020: 164-181 - [c171]Tong He, Yifan Liu, Chunhua Shen, Xinlong Wang, Changming Sun:
Instance-Aware Embedding for Point Cloud Instance Segmentation. ECCV (30) 2020: 255-270 - [c170]Zhi Tian, Chunhua Shen, Hao Chen:
Conditional Convolutions for Instance Segmentation. ECCV (1) 2020: 282-298 - [c169]Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang:
Efficient Semantic Video Segmentation with Per-Frame Inference. ECCV (10) 2020: 352-368 - [c168]Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang:
Representative Graph Neural Network. ECCV (7) 2020: 379-396 - [c167]Wenhai Wang, Xuebo Liu, Xiaozhong Ji, Enze Xie, Ding Liang, Zhibo Yang, Tong Lu, Chunhua Shen, Ping Luo:
AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting. ECCV (14) 2020: 457-473 - [c166]Tong He, Dong Gong, Zhi Tian, Chunhua Shen:
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation. ECCV (18) 2020: 564-580 - [c165]Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li:
SOLO: Segmenting Objects by Locations. ECCV (18) 2020: 649-665 - [c164]Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai:
Scene Text Image Super-Resolution in the Wild. ECCV (10) 2020: 650-666 - [c163]Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo:
Segmenting Transparent Objects in the Wild. ECCV (13) 2020: 696-711 - [c162]Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma:
Unsupervised Representation Learning by Predicting Random Distances. IJCAI 2020: 2950-2956 - [c161]Zhibin Liao, Lingqiao Liu, Qi Wu, Damien Teney, Chunhua Shen, Anton van den Hengel, Johan Verjans:
Medical Data Inquiry Using a Question Answering Model. ISBI 2020: 1490-1493 - [c160]Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia:
Pairwise Relation Learning for Semi-supervised Gland Segmentation. MICCAI (5) 2020: 417-427 - [c159]Xinlong Wang, Rufeng Zhang, Tao Kong, Lei Li, Chunhua Shen:
SOLOv2: Dynamic and Fast Instance Segmentation. NeurIPS 2020 - [c158]Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid:
Architecture Search of Dynamic Cells for Semantic Video Segmentation. WACV 2020: 1959-1968 - [c157]Vladimir Nekrasov, Chunhua Shen, Ian D. Reid:
Template-Based Automatic Search of Compact Semantic Segmentation Architectures. WACV 2020: 1969-1978 - [i270]Hao Chen, Kunyang Sun, Zhi Tian, Chunhua Shen, Yongming Huang, Youliang Yan:
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation. CoRR abs/2001.00309 (2020) - [i269]Tong He, Dong Gong, Zhi Tian, Chunhua Shen:
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation. CoRR abs/2001.01349 (2020) - [i268]Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Chunhua Shen, Zhiguo Cao:
From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting. CoRR abs/2001.01886 (2020) - [i267]Xinyu Zhang, Dong Gong, Jiewei Cao, Chunhua Shen:
Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory. CoRR abs/2001.04123 (2020) - [i266]Canjie Luo, Qingxiang Lin, Yuliang Liu, Lianwen Jin, Chunhua Shen:
Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild. CoRR abs/2001.04189 (2020) - [i265]Wei Yin, Xinlong Wang, Chunhua Shen, Yifan Liu, Zhi Tian, Songcen Xu, Changming Sun, Dou Renyin:
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data. CoRR abs/2002.00569 (2020) - [i264]Yan Yan, Ying Huang, Si Chen, Chunhua Shen, Hanzi Wang:
Joint Deep Learning of Facial Expression Synthesis and Recognition. CoRR abs/2002.02194 (2020) - [i263]Yuliang Liu, Hao Chen, Chunhua Shen, Tong He, Lianwen Jin, Liangwei Wang:
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network. CoRR abs/2002.10200 (2020) - [i262]Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton van den Hengel, Liangwei Wang:
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. CoRR abs/2002.10215 (2020) - [i261]Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang:
Efficient Semantic Video Segmentation with Per-frame Inference. CoRR abs/2002.11433 (2020) - [i260]Zhi Tian, Chunhua Shen, Hao Chen:
Conditional Convolutions for Instance Segmentation. CoRR abs/2003.05664 (2020) - [i259]Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen:
DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers. CoRR abs/2003.06777 (2020) - [i258]Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai:
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. CoRR abs/2003.06780 (2020) - [i257]Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian D. Reid:
Real-time Image Smoothing via Iterative Least Squares. CoRR abs/2003.07504 (2020) - [i256]Genshun Dong, Yan Yan, Chunhua Shen, Hanzi Wang:
Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes. CoRR abs/2003.08736 (2020) - [i255]Xinlong Wang, Rufeng Zhang, Tao Kong, Lei Li, Chunhua Shen:
SOLOv2: Dynamic, Faster and Stronger. CoRR abs/2003.10152 (2020) - [i254]Rufeng Zhang, Zhi Tian, Chunhua Shen, Mingyu You, Youliang Yan:
Mask Encoding for Single Shot Instance Segmentation. CoRR abs/2003.11712 (2020) - [i253]Jianpeng Zhang, Yutong Xie, Yi Li, Chunhua Shen, Yong Xia:
COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection. CoRR abs/2003.12338 (2020) - [i252]Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo:
Segmenting Transparent Objects in the Wild. CoRR abs/2003.13948 (2020) - [i251]Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang:
Context Prior for Scene Segmentation. CoRR abs/2004.01547 (2020) - [i250]Changqian Yu, Changxin Gao, Jingbo Wang, Gang Yu, Chunhua Shen, Nong Sang:
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation. CoRR abs/2004.02147 (2020) - [i249]Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai:
Scene Text Image Super-Resolution in the Wild. CoRR abs/2005.03341 (2020) - [i248]Geng Zhan, Dan Xu, Guo Lu, Wei Wu, Chunhua Shen, Wanli Ouyang:
Scope Head for Accurate Localization in Object Detection. CoRR abs/2005.04854 (2020) - [i247]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Tat-Jun Chin, Chunhua Shen, Ian Reid:
Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue. CoRR abs/2006.02708 (2020) - [i246]Linjiang Zhang, Peng Wang, Hui Li, Zhen Li, Chunhua Shen, Yanning Zhang:
A Robust Attentional Framework for License Plate Recognition in the Wild. CoRR abs/2006.03919 (2020) - [i245]Zhi Tian, Chunhua Shen, Hao Chen, Tong He:
FCOS: A simple and strong anchor-free object detector. CoRR abs/2006.09214 (2020) - [i244]Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel:
Deep Learning for Anomaly Detection: A Review. CoRR abs/2007.02500 (2020) - [i243]Jing Liu, Bohan Zhuang, Peng Chen, Mingkui Tan, Chunhua Shen:
AQD: Towards Accurate Quantized Object Detection. CoRR abs/2007.06919 (2020) - [i242]Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen:
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning. CoRR abs/2007.08260 (2020) - [i241]Hu Wang, Qi Wu, Chunhua Shen:
Soft Expert Reward Learning for Vision-and-Language Navigation. CoRR abs/2007.10835 (2020) - [i240]Wenhai Wang, Xuebo Liu, Xiaozhong Ji, Enze Xie, Ding Liang, Zhibo Yang, Tong Lu, Chunhua Shen, Ping Luo:
AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting. CoRR abs/2008.00714 (2020) - [i239]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks with Local Coordinate Coding. CoRR abs/2008.00942 (2020) - [i238]Yutong Xie, Jianpeng Zhang, Zhibin Liao, Chunhua Shen, Johan Verjans, Yong Xia:
Pairwise Relation Learning for Semi-supervised Gland Segmentation. CoRR abs/2008.02699 (2020) - [i237]Peng Chen, Bohan Zhuang, Chunhua Shen:
FATNN: Fast and Accurate Ternary Neural Networks. CoRR abs/2008.05101 (2020) - [i236]Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang:
Representative Graph Neural Network. CoRR abs/2008.05202 (2020) - [i235]Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao:
Deep Reinforcement Learning for Unknown Anomaly Detection. CoRR abs/2009.06847 (2020) - [i234]Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li:
Dense Contrastive Learning for Self-Supervised Visual Pre-Training. CoRR abs/2011.09157 (2020) - [i233]Hao Chen, Chunhua Shen, Zhi Tian:
Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions. CoRR abs/2011.09796 (2020) - [i232]Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen:
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets. CoRR abs/2011.10217 (2020) - [i231]Honglei Zhang, Hu Wang, Yidong Li, Yuanzhouhan Cao, Chunhua Shen:
Robust Watermarking Using Inverse Gradient Attention. CoRR abs/2011.10850 (2020) - [i230]Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen:
Graph Attention Tracking. CoRR abs/2011.11204 (2020) - [i229]Yutong Xie, Jianpeng Zhang, Zehui Liao, Yong Xia, Chunhua Shen:
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation. CoRR abs/2011.12640 (2020) - [i228]Changyong Shu, Yifan Liu, Jianfei Gao, Lin Xu, Chunhua Shen:
Channel-wise Distillation for Semantic Segmentation. CoRR abs/2011.13256 (2020) - [i227]Tong He, Chunhua Shen, Anton van den Hengel:
DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution. CoRR abs/2011.13328 (2020) - [i226]Hu Wang, Peng Chen, Bohan Zhuang, Chunhua Shen:
Fully Quantized Image Super-Resolution Networks. CoRR abs/2011.14265 (2020) - [i225]Yutong Dai, Hao Lu, Chunhua Shen:
Learning Affinity-Aware Upsampling for Deep Image Matting. CoRR abs/2011.14288 (2020) - [i224]Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, Huaxia Xia:
End-to-End Video Instance Segmentation with Transformers. CoRR abs/2011.14503 (2020) - [i223]Zhi Tian, Chunhua Shen, Xinlong Wang, Hao Chen:
BoxInst: High-Performance Instance Segmentation with Box Annotations. CoRR abs/2012.02310 (2020) - [i222]Haokui Zhang, Ying Li, Yenan Jiang, Peng Wang, Qiang Shen, Chunhua Shen:
Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning. CoRR abs/2012.03439 (2020) - [i221]Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Long Mai, Simon Chen, Chunhua Shen:
Learning to Recover 3D Scene Shape from a Single Image. CoRR abs/2012.09365 (2020) - [i220]Xinyu Zhang, Xinlong Wang, Jia-Wang Bian, Chunhua Shen, Mingyu You:
Diverse Knowledge Distillation for End-to-End Person Search. CoRR abs/2012.11187 (2020) - [i219]Haokui Zhang, Ying Li, Chengrong Gong, Hao Chen, Zongwen Bai, Chunhua Shen:
Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration. CoRR abs/2012.13212 (2020)
2010 – 2019
- 2019
- [j97]Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Accurate imagery recovery using a multi-observation patch model. Inf. Sci. 501: 724-741 (2019) - [j96]Hong Liu, Rongrong Ji, Jingdong Wang, Chunhua Shen:
Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 941-955 (2019) - [j95]Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognit. 88: 113-126 (2019) - [j94]Zifeng Wu, Chunhua Shen, Anton van den Hengel:
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition. Pattern Recognit. 90: 119-133 (2019) - [j93]Peng Wang, Lingqiao Liu, Chunhua Shen, Heng Tao Shen:
Order-aware convolutional pooling for video based action recognition. Pattern Recognit. 91: 357-365 (2019) - [j92]Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu, Qiang Wu:
Heritage image annotation via collective knowledge. Pattern Recognit. 93: 204-214 (2019) - [j91]Lei Zhang, Peng Wang, Wei Wei, Hao Lu, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Unsupervised Domain Adaptation Using Robust Class-Wise Matching. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1339-1349 (2019) - [j90]Rui Yao, Guosheng Lin, Chunhua Shen, Yanning Zhang, Qinfeng Shi:
Semantics-Aware Visual Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 29(6): 1687-1700 (2019) - [j89]Haokui Zhang, Ying Li, Yenan Jiang, Peng Wang, Qiang Shen, Chunhua Shen:
Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning. IEEE Trans. Geosci. Remote. Sens. 57(8): 5813-5828 (2019) - [j88]Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen:
Salient Object Detection With Lossless Feature Reflection and Weighted Structural Loss. IEEE Trans. Image Process. 28(6): 3048-3060 (2019) - [j87]Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples. IEEE Trans. Image Process. 28(12): 6116-6125 (2019) - [j86]Hui Li, Peng Wang, Chunhua Shen:
Toward End-to-End Car License Plate Detection and Recognition With Deep Neural Networks. IEEE Trans. Intell. Transp. Syst. 20(3): 1126-1136 (2019) - [j85]Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen:
Attention Residual Learning for Skin Lesion Classification. IEEE Trans. Medical Imaging 38(9): 2092-2103 (2019) - [j84]Tianyi Zhang, Guosheng Lin, Jianfei Cai, Tong Shen, Chunhua Shen, Alex C. Kot:
Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation. IEEE Trans. Multim. 21(11): 2930-2941 (2019) - [c156]Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang:
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition. AAAI 2019: 8610-8617 - [c155]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CVPR 2019: 413-422 - [c154]Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan:
Knowledge Adaptation for Efficient Semantic Segmentation. CVPR 2019: 578-587 - [c153]Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. CVPR 2019: 1751-1760 - [c152]Peng Wang, Qi Wu, Jiewei Cao, Chunhua Shen, Lianli Gao, Anton van den Hengel:
Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks. CVPR 2019: 1960-1968 - [c151]Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu:
Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks. CVPR 2019: 2956-2964 - [c150]Zhi Tian, Tong He, Chunhua Shen, Youliang Yan:
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation. CVPR 2019: 3126-3135 - [c149]Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia:
Associatively Segmenting Instances and Semantics in Point Clouds. CVPR 2019: 4096-4105 - [c148]Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen:
CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning. CVPR 2019: 5217-5226 - [c147]Hui Li, Peng Wang, Chunhua Shen, Anton van den Hengel:
Visual Question Answering as Reading Comprehension. CVPR 2019: 6319-6328 - [c146]Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid:
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells. CVPR 2019: 9126-9135 - [c145]Haokui Zhang, Ying Li, Yuanzhouhan Cao, Yu Liu, Chunhua Shen, Youliang Yan:
Exploiting Temporal Consistency for Real-Time Video Depth Estimation. ICCV 2019: 1725-1734 - [c144]Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Indices Matter: Learning to Index for Deep Image Matting. ICCV 2019: 3265-3274 - [c143]Wei Yin, Yifan Liu, Chunhua Shen, Youliang Yan:
Enforcing Geometric Constraints of Virtual Normal for Depth Prediction. ICCV 2019: 5683-5692 - [c142]Xinyu Zhang, Jiewei Cao, Chunhua Shen, Mingyu You:
Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification. ICCV 2019: 8221-8230 - [c141]Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Zhiguo Cao, Chunhua Shen:
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer. ICCV 2019: 8361-8370 - [c140]Wenhai Wang, Enze Xie, Xiaoge Song, Yuhang Zang, Wenjia Wang, Tong Lu, Gang Yu, Chunhua Shen:
Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network. ICCV 2019: 8439-8448 - [c139]Zhi Tian, Chunhua Shen, Hao Chen, Tong He:
FCOS: Fully Convolutional One-Stage Object Detection. ICCV 2019: 9626-9635 - [c138]Vladimir Nekrasov, Thanuja Dharmasiri, Andrew Spek, Tom Drummond, Chunhua Shen, Ian D. Reid:
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations. ICRA 2019: 7101-7107 - [c137]Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen:
Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation. IJCAI 2019: 4271-4277 - [c136]Guansong Pang, Chunhua Shen, Anton van den Hengel:
Deep Anomaly Detection with Deviation Networks. KDD 2019: 353-362 - [c135]Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia:
Deep Segmentation-Emendation Model for Gland Instance Segmentation. MICCAI (1) 2019: 469-477 - [c134]Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin R. Hancock:
Deep Hashing by Discriminating Hard Examples. ACM Multimedia 2019: 1535-1542 - [c133]Jiawang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video. NeurIPS 2019: 35-45 - [c132]Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan:
Multi-marginal Wasserstein GAN. NeurIPS 2019: 1774-1784 - [e2]Xiang Bai, Yi Fang, Yangqing Jia, Meina Kan, Shiguang Shan, Chunhua Shen, Jingdong Wang, Gui-Song Xia, Shuicheng Yan, Zhaoxiang Zhang, Kamal Nasrollahi, Gang Hua, Thomas B. Moeslund, Qiang Ji:
Video Analytics. Face and Facial Expression Recognition - Third International Workshop, FFER 2018, and Second International Workshop, DLPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11264, Springer 2019, ISBN 978-3-030-12176-1 [contents] - [i218]Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen:
Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss. CoRR abs/1901.06823 (2019) - [i217]Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia:
Associatively Segmenting Instances and Semantics in Point Clouds. CoRR abs/1902.09852 (2019) - [i216]Zhi Tian, Tong He, Chunhua Shen, Youliang Yan:
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation. CoRR abs/1903.02120 (2019) - [i215]Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen:
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning. CoRR abs/1903.02351 (2019) - [i214]Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen:
Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation. CoRR abs/1903.03313 (2019) - [i213]Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan:
Knowledge Adaptation for Efficient Semantic Segmentation. CoRR abs/1903.04688 (2019) - [i212]Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Network with Auxiliary Gradient Module. CoRR abs/1903.11236 (2019) - [i211]Zhi Tian, Chunhua Shen, Hao Chen, Tong He:
FCOS: Fully Convolutional One-Stage Object Detection. CoRR abs/1904.01355 (2019) - [i210]Peng Wang, Lu Yang, Hui Li, Yuyan Deng, Chunhua Shen, Yanning Zhang:
A Simple and Robust Convolutional-Attention Network for Irregular Text Recognition. CoRR abs/1904.01375 (2019) - [i209]Vladimir Nekrasov, Chunhua Shen, Ian D. Reid:
Template-Based Automatic Search of Compact Semantic Segmentation Architectures. CoRR abs/1904.02365 (2019) - [i208]Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid:
Architecture Search of Dynamic Cells for Semantic Video Segmentation. CoRR abs/1904.02371 (2019) - [i207]Yuankai Qi, Qi Wu, Peter Anderson, Marco Liu, Chunhua Shen, Anton van den Hengel:
RERERE: Remote Embodied Referring Expressions in Real indoor Environments. CoRR abs/1904.10151 (2019) - [i206]Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Attention-guided Network for Ghost-free High Dynamic Range Imaging. CoRR abs/1904.10293 (2019) - [i205]Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen:
NAS-FCOS: Fast Neural Architecture Search for Object Detection. CoRR abs/1906.04423 (2019) - [i204]Hui Li, Peng Wang, Chunhua Shen:
Towards End-to-End Text Spotting in Natural Scenes. CoRR abs/1906.06013 (2019) - [i203]Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian D. Reid:
A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing. CoRR abs/1907.09642 (2019) - [i202]Wei Yin, Yifan Liu, Chunhua Shen, Youliang Yan:
Enforcing geometric constraints of virtual normal for depth prediction. CoRR abs/1907.12209 (2019) - [i201]Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. CoRR abs/1907.12271 (2019) - [i200]Tong Shen, Dong Gong, Wei Zhang, Chunhua Shen, Tao Mei:
Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation. CoRR abs/1907.12282 (2019) - [i199]Xinyu Zhang, Jiewei Cao, Chunhua Shen, Mingyu You:
Self-training with progressive augmentation for unsupervised cross-domain person re-identification. CoRR abs/1907.13315 (2019) - [i198]Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Indices Matter: Learning to Index for Deep Image Matting. CoRR abs/1908.00672 (2019) - [i197]Haokui Zhang, Chunhua Shen, Ying Li, Yuanzhouhan Cao, Yu Liu, Youliang Yan:
Exploiting temporal consistency for real-time video depth estimation. CoRR abs/1908.03706 (2019) - [i196]Yang Zhao, Yifan Liu, Chunhua Shen, Yongsheng Gao, Shengwu Xiong:
MobileFAN: Transferring Deep Hidden Representation for Face Alignment. CoRR abs/1908.03839 (2019) - [i195]Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian D. Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. CoRR abs/1908.04680 (2019) - [i194]Wenhai Wang, Enze Xie, Xiaoge Song, Yuhang Zang, Wenjia Wang, Tong Lu, Gang Yu, Chunhua Shen:
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network. CoRR abs/1908.05900 (2019) - [i193]Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Zhiguo Cao, Chunhua Shen:
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer. CoRR abs/1908.06473 (2019) - [i192]Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Index Network. CoRR abs/1908.09895 (2019) - [i191]Jia-Wang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video. CoRR abs/1908.10553 (2019) - [i190]Yifan Liu, Bohan Zhuang, Chunhua Shen, Hao Chen, Wei Yin:
Training Compact Neural Networks via Auxiliary Overparameterization. CoRR abs/1909.02214 (2019) - [i189]Xinyu Zhang, Rufeng Zhang, Jiewei Cao, Dong Gong, Mingyu You, Chunhua Shen:
Part-Guided Attention Learning for Vehicle Re-Identification. CoRR abs/1909.06023 (2019) - [i188]Wenjia Wang, Enze Xie, Peize Sun, Wenhai Wang, Lixun Tian, Chunhua Shen, Ping Luo:
TextSR: Content-Aware Text Super-Resolution Guided by Recognition. CoRR abs/1909.07113 (2019) - [i187]Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li, Chunhua Shen:
Task-Aware Monocular Depth Estimation for 3D Object Detection. CoRR abs/1909.07701 (2019) - [i186]Haokui Zhang, Ying Li, Hao Chen, Chunhua Shen:
IR-NAS: Neural Architecture Search for Image Restoration. CoRR abs/1909.08228 (2019) - [i185]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Image Recognition. CoRR abs/1909.09934 (2019) - [i184]Enze Xie, Peize Sun, Xiaoge Song, Wenhai Wang, Xuebo Liu, Ding Liang, Chunhua Shen, Ping Luo:
PolarMask: Single Shot Instance Segmentation with Polar Representation. CoRR abs/1909.13226 (2019) - [i183]Guansong Pang, Anton van den Hengel, Chunhua Shen:
Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning. CoRR abs/1910.13601 (2019) - [i182]Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan:
Multi-marginal Wasserstein GAN. CoRR abs/1911.00888 (2019) - [i181]Zhi Tian, Hao Chen, Chunhua Shen:
DirectPose: Direct End-to-End Multi-Person Pose Estimation. CoRR abs/1911.07451 (2019) - [i180]Guansong Pang, Chunhua Shen, Anton van den Hengel:
Deep Anomaly Detection with Deviation Networks. CoRR abs/1911.08623 (2019) - [i179]Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen:
Unified Multifaceted Feature Learning for Person Re-Identification. CoRR abs/1911.08651 (2019) - [i178]Junjie Zhang, Lingqiao Liu, Peng Wang, Chunhua Shen:
To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions. CoRR abs/1912.04486 (2019) - [i177]Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li:
SOLO: Segmenting Objects by Locations. CoRR abs/1912.04488 (2019) - [i176]Yuliang Liu, Tong He, Hao Chen, Xinyu Wang, Canjie Luo, Shuaitao Zhang, Chunhua Shen, Lianwen Jin:
Exploring the Capacity of Sequential-free Box Discretization Network for Omnidirectional Scene Text Detection. CoRR abs/1912.09629 (2019) - [i175]Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen:
Ordered or Orderless: A Revisit for Video based Person Re-Identification. CoRR abs/1912.11236 (2019) - [i174]Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma:
Unsupervised Representation Learning by Predicting Random Distances. CoRR abs/1912.12186 (2019) - 2018
- [j83]Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction. Int. J. Comput. Vis. 126(8): 797-821 (2018) - [j82]Hui Li, Peng Wang, Mingyu You, Chunhua Shen:
Reading car license plates using deep neural networks. Image Vis. Comput. 72: 14-23 (2018) - [j81]Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid:
Exploring Context with Deep Structured Models for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1352-1366 (2018) - [j80]Qi Wu, Chunhua Shen, Peng Wang, Anthony R. Dick, Anton van den Hengel:
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1367-1381 (2018) - [j79]Peng Wang, Qi Wu, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
FVQA: Fact-Based Visual Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2413-2427 (2018) - [j78]Xiu-Shen Wei, Chen-Wei Xie, Jianxin Wu, Chunhua Shen:
Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization. Pattern Recognit. 76: 704-714 (2018) - [j77]Ni Zhuang, Yan Yan, Si Chen, Hanzi Wang, Chunhua Shen:
Multi-label learning based deep transfer neural network for facial attribute classification. Pattern Recognit. 80: 225-240 (2018) - [j76]Qichang Hu, Peng Wang, Chunhua Shen, Anton van den Hengel, Fatih Porikli:
Pushing the Limits of Deep CNNs for Pedestrian Detection. IEEE Trans. Circuits Syst. Video Technol. 28(6): 1358-1368 (2018) - [j75]Biyun Sheng, Chunhua Shen, Guosheng Lin, Jun Li, Wankou Yang, Changyin Sun:
Crowd Counting via Weighted VLAD on a Dense Attribute Feature Map. IEEE Trans. Circuits Syst. Video Technol. 28(8): 1788-1797 (2018) - [j74]Yuanzhouhan Cao, Zifeng Wu, Chunhua Shen:
Estimating Depth From Monocular Images as Classification Using Deep Fully Convolutional Residual Networks. IEEE Trans. Circuits Syst. Video Technol. 28(11): 3174-3182 (2018) - [j73]Hao Lu, Chunhua Shen, Zhiguo Cao, Yang Xiao, Anton van den Hengel:
An Embarrassingly Simple Approach to Visual Domain Adaptation. IEEE Trans. Image Process. 27(7): 3403-3417 (2018) - [j72]Mingyu You, Yubin Zhang, Chunhua Shen, Xinyu Zhang:
An Extended Filtered Channel Framework for Pedestrian Detection. IEEE Trans. Intell. Transp. Syst. 19(5): 1640-1651 (2018) - [j71]Guanjun Guo, Hanzi Wang, Chunhua Shen, Yan Yan, Hong-Yuan Mark Liao:
Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression. IEEE Trans. Multim. 20(8): 2073-2085 (2018) - [j70]Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu:
Multilabel Image Classification With Regional Latent Semantic Dependencies. IEEE Trans. Multim. 20(10): 2801-2813 (2018) - [j69]Fayao Liu, Guosheng Lin, Ruizhi Qiao, Chunhua Shen:
Structured Learning of Tree Potentials in CRF for Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2631-2637 (2018) - [c131]Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu:
Kill Two Birds With One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement. AAAI 2018: 7550-7557 - [c130]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection. AAAI 2018: 7631-7638 - [c129]Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification. ACCV (2) 2018: 575-591 - [c128]Ruibo Li, Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Lingxiao Hang:
Deep Attention-Based Classification Network for Robust Depth Prediction. ACCV (4) 2018: 663-678 - [c127]Vladimir Nekrasov, Chunhua Shen, Ian Reid:
Light-Weight RefineNet for Real-Time Semantic Segmentation. BMVC 2018: 125 - [c126]Ming Cai, Chunhua Shen, Ian Reid:
A Hybrid Probabilistic Model for Camera Relocalization. BMVC 2018: 238 - [c125]Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Yang Xiao, Ruibo Li, Zhenbo Luo:
Monocular Relative Depth Perception With Web Stereo Data Supervision. CVPR 2018: 311-320 - [c124]Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Bootstrapping the Performance of Webly Supervised Semantic Segmentation. CVPR 2018: 1363-1371 - [c123]Yu Chen, Ying Tai, Xiaoming Liu, Chunhua Shen, Jian Yang:
FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors. CVPR 2018: 2492-2501 - [c122]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries. CVPR 2018: 4252-4261 - [c121]Tong He, Zhi Tian, Weilin Huang, Chunhua Shen, Yu Qiao, Changming Sun:
An End-to-End TextSpotter With Explicit Alignment and Attention. CVPR 2018: 5020-5029 - [c120]Qi Wu, Peng Wang, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning. CVPR 2018: 6106-6115 - [c119]Chao Ma, Chunhua Shen, Anthony R. Dick, Qi Wu, Peng Wang, Anton van den Hengel, Ian D. Reid:
Visual Question Answering With Memory-Augmented Networks. CVPR 2018: 6975-6984 - [c118]Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, Chunhua Shen:
Repulsion Loss: Detecting Pedestrians in a Crowd. CVPR 2018: 7774-7783 - [c117]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Towards Effective Low-Bitwidth Convolutional Neural Networks. CVPR 2018: 7920-7928 - [c116]Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson W. H. Lau, Ming-Hsuan Yang:
VITAL: VIsual Tracking via Adversarial Learning. CVPR 2018: 8990-8999 - [c115]Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu, Anton van den Hengel:
Goal-Oriented Visual Question Generation via Intermediate Rewards. ECCV (5) 2018: 189-204 - [c114]Ruoxi Deng, Chunhua Shen, Shengjun Liu, Huibing Wang, Xinru Liu:
Learning to Predict Crisp Boundaries. ECCV (6) 2018: 570-586 - [c113]Lian-Feng Dong, Yuan-Zhu Gan, Xiao-Jiao Mao, Yu-Bin Yang, Chunhua Shen:
Learning Deep Representations Using Convolutional Auto-Encoders with Symmetric Skip Connections. ICASSP 2018: 3006-3010 - [c112]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Adversarial Learning with Local Coordinate Coding. ICML 2018: 706-714 - [c111]Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen:
Salient Object Detection by Lossless Feature Reflection. IJCAI 2018: 1149-1155 - [i173]Wei Liu, Wei Xu, Xiaogang Chen, Xiaolin Huang, Chunhua Shen, Jie Yang:
Edge-Preserving Piecewise Linear Image Smoothing Using Piecewise Constant Filters. CoRR abs/1801.06928 (2018) - [i172]Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen:
Salient Object Detection by Lossless Feature Reflection. CoRR abs/1802.06527 (2018) - [i171]Pingping Zhang, Luyao Wang, Dong Wang, Huchuan Lu, Chunhua Shen:
Agile Amulet: Real-Time Salient Object Detection with Contextual Attention. CoRR abs/1802.06960 (2018) - [i170]Tianyi Zhang, Guosheng Lin, Jianfei Cai, Tong Shen, Chunhua Shen, Alex C. Kot:
Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation. CoRR abs/1803.02563 (2018) - [i169]Tong He, Zhi Tian, Weilin Huang, Chunhua Shen, Yu Qiao, Changming Sun:
An end-to-end TextSpotter with Explicit Alignment and Attention. CoRR abs/1803.03474 (2018) - [i168]Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang:
Learning an Optimizer for Image Deconvolution. CoRR abs/1804.03368 (2018) - [i167]Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson W. H. Lau, Ming-Hsuan Yang:
VITAL: VIsual Tracking via Adversarial Learning. CoRR abs/1804.04273 (2018) - [i166]Pingping Zhang, Huchuan Lu, Chunhua Shen:
HyperFusion-Net: Densely Reflective Fusion for Salient Object Detection. CoRR abs/1804.05142 (2018) - [i165]Ni Zhuang, Yan Yan, Si Chen, Hanzi Wang, Chunhua Shen:
Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification. CoRR abs/1805.01282 (2018) - [i164]Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples. CoRR abs/1805.04288 (2018) - [i163]Yuanzhouhan Cao, Tianqi Zhao, Ke Xian, Chunhua Shen, Zhiguo Cao:
Monocular Depth Estimation with Augmented Ordinal Depth Relationships. CoRR abs/1806.00585 (2018) - [i162]Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang, Anton van den Hengel:
Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network. CoRR abs/1806.01576 (2018) - [i161]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Adversarial Learning with Local Coordinate Coding. CoRR abs/1806.04895 (2018) - [i160]Ruibo Li, Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Lingxiao Hang:
Deep attention-based classification network for robust depth prediction. CoRR abs/1807.03959 (2018) - [i159]Ruoxi Deng, Chunhua Shen, Shengjun Liu, Huibing Wang, Xinru Liu:
Learning to predict crisp boundaries. CoRR abs/1807.10097 (2018) - [i158]Bohan Zhuang, Chunhua Shen, Ian D. Reid:
Training Compact Neural Networks with Binary Weights and Low Precision Activations. CoRR abs/1808.02631 (2018) - [i157]Lei Zhang, Peng Wang, Lingqiao Liu, Chunhua Shen, Wei Wei, Yanning Zhang, Anton van den Hengel:
Towards Effective Deep Embedding for Zero-Shot Learning. CoRR abs/1808.10075 (2018) - [i156]Vladimir Nekrasov, Thanuja Dharmasiri, Andrew Spek, Tom Drummond, Chunhua Shen, Ian D. Reid:
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations. CoRR abs/1809.04766 (2018) - [i155]Vladimir Nekrasov, Chunhua Shen, Ian D. Reid:
Diagnostics in Semantic Segmentation. CoRR abs/1809.10328 (2018) - [i154]Zichuan Liu, Guosheng Lin, Wang Ling Goh, Fayao Liu, Chunhua Shen, Xiaokang Yang:
Correlation Propagation Networks for Scene Text Detection. CoRR abs/1810.00304 (2018) - [i153]Vladimir Nekrasov, Chunhua Shen, Ian D. Reid:
Light-Weight RefineNet for Real-Time Semantic Segmentation. CoRR abs/1810.03272 (2018) - [i152]Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid:
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells. CoRR abs/1810.10804 (2018) - [i151]Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang:
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition. CoRR abs/1811.00751 (2018) - [i150]Haokui Zhang, Ying Li, Peng Wang, Yu Liu, Chunhua Shen:
RGB-D Based Action Recognition with Light-weight 3D Convolutional Networks. CoRR abs/1811.09908 (2018) - [i149]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CoRR abs/1811.10413 (2018) - [i148]Hui Li, Peng Wang, Chunhua Shen, Anton van den Hengel:
Visual Question Answering as Reading Comprehension. CoRR abs/1811.11903 (2018) - [i147]Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. CoRR abs/1812.04239 (2018) - [i146]Peng Wang, Qi Wu, Jiewei Cao, Chunhua Shen, Lianli Gao, Anton van den Hengel:
Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks. CoRR abs/1812.04794 (2018) - [i145]Wei Liu, Pingping Zhang, Xiaogang Chen, Chunhua Shen, Xiaolin Huang, Jie Yang:
Embedding Bilateral Filter in Least Squares for Efficient Edge-preserving Image Smoothing. CoRR abs/1812.07122 (2018) - 2017
- [j68]Sakrapee Paisitkriangkrai, Lin Wu, Chunhua Shen, Anton van den Hengel:
Structured learning of metric ensembles with application to person re-identification. Comput. Vis. Image Underst. 156: 51-65 (2017) - [j67]Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Visual question answering: A survey of methods and datasets. Comput. Vis. Image Underst. 163: 21-40 (2017) - [j66]Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Mining Mid-level Visual Patterns with Deep CNN Activations. Int. J. Comput. Vis. 121(3): 344-364 (2017) - [j65]Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, Heng Tao Shen:
Structured Learning of Binary Codes with Column Generation for Optimizing Ranking Measures. Int. J. Comput. Vis. 123(2): 287-308 (2017) - [j64]Peng Wang, Chunhua Shen, Anton van den Hengel, Philip H. S. Torr:
Large-Scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 470-485 (2017) - [j63]Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Cross-Convolutional-Layer Pooling for Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2305-2313 (2017) - [j62]Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang, Heng Tao Shen:
Compositional Model Based Fisher Vector Coding for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2335-2348 (2017) - [j61]Lin Wu, Chunhua Shen, Anton van den Hengel:
Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification. Pattern Recognit. 65: 238-250 (2017) - [j60]Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recognit. 66: 202-212 (2017) - [j59]Ying Li, Wenbo Li, Chunhua Shen:
Removal of Optically Thick Clouds From High-Resolution Satellite Imagery Using Dictionary Group Learning and Interdictionary Nonlocal Joint Sparse Coding. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(5): 1870-1882 (2017) - [j58]Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel:
Part-Based Robust Tracking Using Online Latent Structured Learning. IEEE Trans. Circuits Syst. Video Technol. 27(6): 1235-1248 (2017) - [j57]Peng Wang, Yuanzhouhan Cao, Chunhua Shen, Lingqiao Liu, Heng Tao Shen:
Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 27(12): 2613-2622 (2017) - [j56]Yuanzhouhan Cao, Chunhua Shen, Heng Tao Shen:
Exploiting Depth From Single Monocular Images for Object Detection and Semantic Segmentation. IEEE Trans. Image Process. 26(2): 836-846 (2017) - [j55]Fayao Liu, Guosheng Lin, Chunhua Shen:
Discriminative Training of Deep Fully Connected Continuous CRFs With Task-Specific Loss. IEEE Trans. Image Process. 26(5): 2127-2136 (2017) - [j54]Qichang Hu, Huibing Wang, Teng Li, Chunhua Shen:
Deep CNNs With Spatially Weighted Pooling for Fine-Grained Car Recognition. IEEE Trans. Intell. Transp. Syst. 18(11): 3147-3156 (2017) - [c110]Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian Reid:
Weakly Supervised Semantic Segmentation Based on Co-segmentation. BMVC 2017 - [c109]Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid:
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data. CVPR 2017: 2915-2924 - [c108]Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. CVPR 2017: 3806-3815 - [c107]Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel:
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions. CVPR 2017: 3909-3918 - [c106]Guosheng Lin, Anton Milan, Chunhua Shen, Ian D. Reid:
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation. CVPR 2017: 5168-5177 - [c105]Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Sequential Person Recognition in Photo Albums with a Recurrent Network. CVPR 2017: 5660-5668 - [c104]Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen:
Multi-attention Network for One Shot Learning. CVPR 2017: 6212-6220 - [c103]Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid:
Towards Context-Aware Interaction Recognition for Visual Relationship Detection. ICCV 2017: 589-598 - [c102]Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel:
When Unsupervised Domain Adaptation Meets Tensor Representations. ICCV 2017: 599-608 - [c101]Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang:
Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation. ICCV 2017: 1221-1230 - [c100]Hui Li, Peng Wang, Chunhua Shen:
Towards End-to-End Text Spotting with Convolutional Recurrent Neural Networks. ICCV 2017: 5248-5256 - [c99]Wei Liu, Xiaogang Chen, Chunhua Shen, Zhi Liu, Jie Yang:
Semi-Global Weighted Least Squares in Image Filtering. ICCV 2017: 5862-5870 - [c98]Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford:
Deep learning features at scale for visual place recognition. ICRA 2017: 3223-3230 - [c97]Peng Wang, Qi Wu, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Explicit Knowledge-based Reasoning for Visual Question Answering. IJCAI 2017: 1290-1296 - [c96]Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation. IJCAI 2017: 2708-2714 - [c95]Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Deep Descriptor Transforming for Image Co-Localization. IJCAI 2017: 3048-3054 - [i144]Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford:
Deep Learning Features at Scale for Visual Place Recognition. CoRR abs/1701.05105 (2017) - [i143]Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation. CoRR abs/1701.07122 (2017) - [i142]Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid:
Towards Context-aware Interaction Recognition. CoRR abs/1703.06246 (2017) - [i141]Fayao Liu, Guosheng Lin, Ruizhi Qiao, Chunhua Shen:
Structured Learning of Tree Potentials in CRF for Image Segmentation. CoRR abs/1703.08764 (2017) - [i140]Wei Liu, Xiaogang Chen, Chunhua Shen, Jingyi Yu, Qiang Wu, Jie Yang:
Robust Guided Image Filtering. CoRR abs/1703.09379 (2017) - [i139]Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang:
Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation. CoRR abs/1705.00389 (2017) - [i138]Wei Liu, Xiaogang Chen, Chunhua Shen, Zhi Liu, Jie Yang:
Semi-Global Weighted Least Squares in Image Filtering. CoRR abs/1705.01674 (2017) - [i137]Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Deep Descriptor Transforming for Image Co-Localization. CoRR abs/1705.02758 (2017) - [i136]Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian D. Reid:
Weakly Supervised Semantic Segmentation Based on Co-segmentation. CoRR abs/1705.09052 (2017) - [i135]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Care about you: towards large-scale human-centric visual relationship detection. CoRR abs/1705.09892 (2017) - [i134]Hao Lu, Zhiguo Cao, Yang Xiao, Bohan Zhuang, Chunhua Shen:
TasselNet: Counting maize tassels in the wild via local counts regression network. CoRR abs/1707.02290 (2017) - [i133]Xinlong Wang, Mingyu You, Chunhua Shen:
Adversarial Generation of Training Examples for Vehicle License Plate Recognition. CoRR abs/1707.03124 (2017) - [i132]Hui Li, Peng Wang, Chunhua Shen:
Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks. CoRR abs/1707.03985 (2017) - [i131]Chao Ma, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Visual Question Answering with Memory-Augmented Networks. CoRR abs/1707.04968 (2017) - [i130]Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Visually Aligned Word Embeddings for Improving Zero-shot Learning. CoRR abs/1707.05427 (2017) - [i129]Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel:
When Unsupervised Domain Adaptation Meets Tensor Representations. CoRR abs/1707.05956 (2017) - [i128]Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming. CoRR abs/1707.06397 (2017) - [i127]Ruoxi Deng, Tianqi Zhao, Chunhua Shen, Shengjun Liu:
Relative Depth Order Estimation Using Multi-scale Densely Connected Convolutional Networks. CoRR abs/1707.08063 (2017) - [i126]Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Beyond Low Rank: A Data-Adaptive Tensor Completion Method. CoRR abs/1708.01008 (2017) - [i125]Hui Li, Peng Wang, Chunhua Shen:
Towards End-to-End Car License Plates Detection and Recognition with Deep Neural Networks. CoRR abs/1709.08828 (2017) - [i124]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Towards Effective Low-bitwidth Convolutional Neural Networks. CoRR abs/1711.00205 (2017) - [i123]Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang:
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. CoRR abs/1711.00253 (2017) - [i122]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries. CoRR abs/1711.06370 (2017) - [i121]Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu:
Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement. CoRR abs/1711.06998 (2017) - [i120]Qi Wu, Peng Wang, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning. CoRR abs/1711.07613 (2017) - [i119]Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu, Anton van den Hengel:
Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards. CoRR abs/1711.07614 (2017) - [i118]Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, Chunhua Shen:
Repulsion Loss: Detecting Pedestrians in a Crowd. CoRR abs/1711.07752 (2017) - [i117]Yu Chen, Ying Tai, Xiaoming Liu, Chunhua Shen, Jian Yang:
FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors. CoRR abs/1711.10703 (2017) - [i116]Zifeng Wu, Chunhua Shen, Anton van den Hengel:
Real-time Semantic Image Segmentation via Spatial Sparsity. CoRR abs/1712.00213 (2017) - [i115]Guanjun Guo, Hanzi Wang, Chunhua Shen, Yan Yan, Hong-Yuan Mark Liao:
Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression. CoRR abs/1712.09048 (2017) - 2016
- [j53]Chao Zhang, Chunhua Shen, Tingzhi Shen:
Unsupervised Feature Learning for Dense Correspondences Across Scenes. Int. J. Comput. Vis. 116(1): 90-107 (2016) - [j52]Peng Wang, Chunhua Shen, Anton van den Hengel, Philip H. S. Torr:
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference. Int. J. Comput. Vis. 117(3): 269-289 (2016) - [j51]Fayao Liu, Chunhua Shen, Ian Reid, Anton van den Hengel:
Online unsupervised feature learning for visual tracking. Image Vis. Comput. 51: 84-94 (2016) - [j50]Sheng Wang, Jianfeng Lu, Xingjian Gu, Chunhua Shen, Rui Xia, Jing-Yu Yang:
Canonical principal angles correlation analysis for two-view data. J. Vis. Commun. Image Represent. 35: 209-219 (2016) - [j49]Lingqiao Liu, Lei Wang, Chunhua Shen:
A Generalized Probabilistic Framework for Compact Codebook Creation. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 224-237 (2016) - [j48]Xi Li, Chunhua Shen, Anthony R. Dick, Zhongfei (Mark) Zhang, Yueting Zhuang:
Online Metric-Weighted Linear Representations for Robust Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 38(5): 931-950 (2016) - [j47]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1243-1257 (2016) - [j46]Fayao Liu, Chunhua Shen, Guosheng Lin, Ian Reid:
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 2024-2039 (2016) - [j45]Fumin Shen, Chunhua Shen, Xiang Zhou, Yang Yang, Heng Tao Shen:
Face image classification by pooling raw features. Pattern Recognit. 54: 94-103 (2016) - [j44]Hanxi Li, Fumin Shen, Chunhua Shen, Yang Yang, Yongsheng Gao:
Face recognition using linear representation ensembles. Pattern Recognit. 59: 72-87 (2016) - [j43]Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Dictionary Learning for Promoting Structured Sparsity in Hyperspectral Compressive Sensing. IEEE Trans. Geosci. Remote. Sens. 54(12): 7223-7235 (2016) - [j42]Qichang Hu, Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel, Fatih Porikli:
Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework. IEEE Trans. Intell. Transp. Syst. 17(4): 1002-1014 (2016) - [j41]Xueyi Zhao, Xi Li, Zhongfei Zhang, Chunhua Shen, Yueting Zhuang, Lixin Gao, Xuelong Li:
Scalable Linear Visual Feature Learning via Online Parallel Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2628-2642 (2016) - [c94]Qi Wu, Chunhua Shen, Lingqiao Liu, Anthony R. Dick, Anton van den Hengel:
What Value Do Explicit High Level Concepts Have in Vision to Language Problems? CVPR 2016: 203-212 - [c93]Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen:
What's Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution. CVPR 2016: 1573-1581 - [c92]Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression. CVPR 2016: 2249-2257 - [c91]Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian D. Reid:
Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation. CVPR 2016: 3194-3203 - [c90]Qi Wu, Peng Wang, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources. CVPR 2016: 4622-4630 - [c89]Bohan Zhuang, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Fast Training of Triplet-Based Deep Binary Embedding Networks. CVPR 2016: 5955-5964 - [c88]Junjie Zhang, Jian Zhang, Jianfeng Lu, Chunhua Shen, Kate Curr, Robin Phua, Richard Neville, Elise Edmonds:
SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval. DICTA 2016: 1-6 - [c87]Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution. ECCV (2) 2016: 19-34 - [c86]Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Cluster Sparsity Field for Hyperspectral Imagery Denoising. ECCV (5) 2016: 631-647 - [c85]Xiao-Jiao Mao, Chunhua Shen, Yu-Bin Yang:
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections. NIPS 2016: 2802-2810 - [i114]Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang, Heng Tao Shen:
Compositional Model based Fisher Vector Coding for Image Classification. CoRR abs/1601.04143 (2016) - [i113]Hui Li, Chunhua Shen:
Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs. CoRR abs/1601.05610 (2016) - [i112]Lin Wu, Chunhua Shen, Anton van den Hengel:
PersonNet: Person Re-identification with Deep Convolutional Neural Networks. CoRR abs/1601.07255 (2016) - [i111]Fayao Liu, Guosheng Lin, Chunhua Shen:
Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss. CoRR abs/1601.07649 (2016) - [i110]Peng Wang, Lingqiao Liu, Chunhua Shen, Heng Tao Shen:
Order-aware Convolutional Pooling for Video Based Action Recognition. CoRR abs/1602.00224 (2016) - [i109]Peng Wang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel, Heng Tao Shen:
Hi Detector, What's Wrong with that Object? Identifying Irregular Object From Images by Modelling the Detection Score Distribution. CoRR abs/1602.04422 (2016) - [i108]Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, Heng Tao Shen:
Structured Learning of Binary Codes with Column Generation. CoRR abs/1602.06654 (2016) - [i107]Qi Wu, Chunhua Shen, Anton van den Hengel, Peng Wang, Anthony R. Dick:
Image Captioning and Visual Question Answering Based on Attributes and Their Related External Knowledge. CoRR abs/1603.02814 (2016) - [i106]Bohan Zhuang, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Fast Training of Triplet-based Deep Binary Embedding Networks. CoRR abs/1603.02844 (2016) - [i105]Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid:
Exploring Context with Deep Structured models for Semantic Segmentation. CoRR abs/1603.03183 (2016) - [i104]Qichang Hu, Peng Wang, Chunhua Shen, Anton van den Hengel, Fatih Murat Porikli:
Pushing the Limits of Deep CNNs for Pedestrian Detection. CoRR abs/1603.04525 (2016) - [i103]Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution. CoRR abs/1603.04619 (2016) - [i102]Xiao-Jiao Mao, Chunhua Shen, Yu-Bin Yang:
Image Denoising Using Very Deep Fully Convolutional Encoder-Decoder Networks with Symmetric Skip Connections. CoRR abs/1603.09056 (2016) - [i101]Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Less is more: zero-shot learning from online textual documents with noise suppression. CoRR abs/1604.01146 (2016) - [i100]Zifeng Wu, Chunhua Shen, Anton van den Hengel:
High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks. CoRR abs/1604.04339 (2016) - [i99]Biyun Sheng, Chunhua Shen, Guosheng Lin, Jun Li, Wankou Yang, Changyin Sun:
Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps. CoRR abs/1604.08660 (2016) - [i98]Yuanzhouhan Cao, Zifeng Wu, Chunhua Shen:
Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks. CoRR abs/1605.02305 (2016) - [i97]Zifeng Wu, Chunhua Shen, Anton van den Hengel:
Bridging Category-level and Instance-level Semantic Image Segmentation. CoRR abs/1605.06885 (2016) - [i96]Lin Wu, Chunhua Shen, Anton van den Hengel:
Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification. CoRR abs/1606.01595 (2016) - [i95]Lin Wu, Chunhua Shen, Anton van den Hengel:
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach. CoRR abs/1606.01609 (2016) - [i94]Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
FVQA: Fact-based Visual Question Answering. CoRR abs/1606.05433 (2016) - [i93]Jiewei Cao, Lingqiao Liu, Peng Wang, Zi Huang, Chunhua Shen, Heng Tao Shen:
Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps. CoRR abs/1606.06811 (2016) - [i92]Xiao-Jiao Mao, Chunhua Shen, Yu-Bin Yang:
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections. CoRR abs/1606.08921 (2016) - [i91]Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Visual Question Answering: A Survey of Methods and Datasets. CoRR abs/1607.05910 (2016) - [i90]Yuanzhouhan Cao, Chunhua Shen, Heng Tao Shen:
Exploiting Depth from Single Monocular Images for Object Detection and Semantic Segmentation. CoRR abs/1610.01706 (2016) - [i89]Guosheng Lin, Anton Milan, Chunhua Shen, Ian D. Reid:
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation. CoRR abs/1611.06612 (2016) - [i88]Jianfeng Dong, Xiao-Jiao Mao, Chunhua Shen, Yu-Bin Yang:
Unsupervised Feature Learning With Symmetrically Connected Convolutional Denoising Auto-encoders. CoRR abs/1611.09119 (2016) - [i87]Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid:
Attend in groups: a weakly-supervised deep learning framework for learning from web data. CoRR abs/1611.09960 (2016) - [i86]Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Sequential Person Recognition in Photo Albums with a Recurrent Network. CoRR abs/1611.09967 (2016) - [i85]Zifeng Wu, Chunhua Shen, Anton van den Hengel:
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition. CoRR abs/1611.10080 (2016) - [i84]Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu:
Multi-Label Image Classification with Regional Latent Semantic Dependencies. CoRR abs/1612.01082 (2016) - [i83]Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur. CoRR abs/1612.02583 (2016) - [i82]Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel:
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions. CoRR abs/1612.05386 (2016) - 2015
- [j40]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Chunhua Shen, Brian C. Lovell, Conrad Sanderson:
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. Int. J. Comput. Vis. 114(2-3): 113-136 (2015) - [j39]Guosheng Lin, Chunhua Shen, Anton van den Hengel:
Supervised Hashing Using Graph Cuts and Boosted Decision Trees. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2317-2331 (2015) - [j38]Fayao Liu, Guosheng Lin, Chunhua Shen:
CRF learning with CNN features for image segmentation. Pattern Recognit. 48(10): 2983-2992 (2015) - [j37]Lei Luo, Chunhua Shen, Xinwang Liu, Chunyuan Zhang:
A Computational Model of the Short-Cut Rule for 2D Shape Decomposition. IEEE Trans. Image Process. 24(1): 273-283 (2015) - [j36]Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Heng Tao Shen:
Hashing on Nonlinear Manifolds. IEEE Trans. Image Process. 24(6): 1839-1851 (2015) - [j35]Hui Li, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Worst Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems. IEEE Trans. Image Process. 24(8): 2382-2392 (2015) - [c84]Michael Milford, Stephanie M. Lowry, Niko Sünderhauf, Sareh Shirazi, Edward Pepperell, Ben Upcroft, Chunhua Shen, Guosheng Lin, Fayao Liu, Cesar Cadena, Ian D. Reid:
Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition. CVPR Workshops 2015: 18-25 - [c83]Fumin Shen, Chunhua Shen, Wei Liu, Heng Tao Shen:
Supervised Discrete Hashing. CVPR 2015: 37-45 - [c82]Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Mid-level deep pattern mining. CVPR 2015: 971-980 - [c81]Bo Li, Chunhua Shen, Yuchao Dai, Anton van den Hengel, Mingyi He:
Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs. CVPR 2015: 1119-1127 - [c80]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Learning to rank in person re-identification with metric ensembles. CVPR 2015: 1846-1855 - [c79]Peng Wang, Chunhua Shen, Anton van den Hengel:
Efficient SDP inference for fully-connected CRFs based on low-rank decomposition. CVPR 2015: 3222-3231 - [c78]Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, Zhen Zhang:
Learning graph structure for multi-label image classification via clique generation. CVPR 2015: 4100-4109 - [c77]Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification. CVPR 2015: 4749-4757 - [c76]Fayao Liu, Chunhua Shen, Guosheng Lin:
Deep convolutional neural fields for depth estimation from a single image. CVPR 2015: 5162-5170 - [c75]Lei Zhang, Wei Wei, Yanning Zhang, Fei Li, Chunhua Shen, Qinfeng Shi:
Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior. ICCV 2015: 3550-3558 - [c74]Guosheng Lin, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Deeply Learning the Messages in Message Passing Inference. NIPS 2015: 361-369 - [i81]Chao Zhang, Chunhua Shen:
Unsupervised Feature Learning for Dense Correspondences across Scenes. CoRR abs/1501.00642 (2015) - [i80]Fayao Liu, Chunhua Shen, Guosheng Lin, Ian Reid:
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields. CoRR abs/1502.07411 (2015) - [i79]Peng Wang, Yuanzhouhan Cao, Chunhua Shen, Lingqiao Liu, Heng Tao Shen:
Temporal Pyramid Pooling Based Convolutional Neural Networks for Action Recognition. CoRR abs/1503.01224 (2015) - [i78]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Learning to rank in person re-identification with metric ensembles. CoRR abs/1503.01543 (2015) - [i77]Fayao Liu, Guosheng Lin, Chunhua Shen:
CRF Learning with CNN Features for Image Segmentation. CoRR abs/1503.08263 (2015) - [i76]Guosheng Lin, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Efficient piecewise training of deep structured models for semantic segmentation. CoRR abs/1504.01013 (2015) - [i75]Peng Wang, Chunhua Shen, Anton van den Hengel:
Efficient SDP Inference for Fully-connected CRFs Based on Low-rank Decomposition. CoRR abs/1504.01492 (2015) - [i74]Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. CoRR abs/1504.04923 (2015) - [i73]Qi Wu, Chunhua Shen, Anton van den Hengel, Lingqiao Liu, Anthony R. Dick:
Image Captioning with an Intermediate Attributes Layer. CoRR abs/1506.01144 (2015) - [i72]Guosheng Lin, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Deeply Learning the Messages in Message Passing Inference. CoRR abs/1506.02108 (2015) - [i71]Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Mining Mid-level Visual Patterns with Deep CNN Activations. CoRR abs/1506.06343 (2015) - [i70]Xi Li, Chunhua Shen, Anthony R. Dick, Zhongfei (Mark) Zhang, Yueting Zhuang:
Online Metric-Weighted Linear Representations for Robust Visual Tracking. CoRR abs/1507.05737 (2015) - [i69]Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Cross-convolutional-layer Pooling for Generic Visual Recognition. CoRR abs/1510.00921 (2015) - [i68]Qichang Hu, Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel, Fatih Porikli:
Fast detection of multiple objects in traffic scenes with a common detection framework. CoRR abs/1510.03125 (2015) - [i67]Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
Explicit Knowledge-based Reasoning for Visual Question Answering. CoRR abs/1511.02570 (2015) - [i66]Qi Wu, Peng Wang, Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources. CoRR abs/1511.06973 (2015) - [i65]Sakrapee Paisitkriangkrai, Lin Wu, Chunhua Shen, Anton van den Hengel:
Structured learning of metric ensembles with application to person re-identification. CoRR abs/1511.08531 (2015) - [i64]Wei Liu, Yun Gu, Chunhua Shen, Xiaogang Chen, Qiang Wu, Jie Yang:
Data Driven Robust Image Guided Depth Map Restoration. CoRR abs/1512.08103 (2015) - 2014
- [j34]Fumin Shen, Chunhua Shen, Rhys Hill, Anton van den Hengel, Zhenmin Tang:
Fast approximate L∞ minimization: Speeding up robust regression. Comput. Stat. Data Anal. 77: 25-37 (2014) - [j33]Lei Wang, Luping Zhou, Chunhua Shen, Lingqiao Liu, Huan Liu:
A Hierarchical Word-Merging Algorithm with Class Separability Measure. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 417-435 (2014) - [j32]Chunhua Shen, Guosheng Lin, Anton van den Hengel:
StructBoost: Boosting Methods for Predicting Structured Output Variables. IEEE Trans. Pattern Anal. Mach. Intell. 36(10): 2089-2103 (2014) - [j31]Yanting Lu, Liantao Wang, Jianfeng Lu, Jingyu Yang, Chunhua Shen:
Multiple kernel clustering based on centered kernel alignment. Pattern Recognit. 47(11): 3656-3664 (2014) - [j30]Yao Li, Wenjing Jia, Chunhua Shen, Anton van den Hengel:
Characterness: An Indicator of Text in the Wild. IEEE Trans. Image Process. 23(4): 1666-1677 (2014) - [j29]Yan Yan, Chunhua Shen, Hanzi Wang:
Efficient Semidefinite Spectral Clustering via Lagrange Duality. IEEE Trans. Image Process. 23(8): 3522-3534 (2014) - [j28]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Large-Margin Learning of Compact Binary Image Encodings. IEEE Trans. Image Process. 23(9): 4041-4054 (2014) - [j27]Fayao Liu, Luping Zhou, Chunhua Shen, Jianping Yin:
Multiple Kernel Learning in the Primal for Multimodal Alzheimer's Disease Classification. IEEE J. Biomed. Health Informatics 18(3): 984-990 (2014) - [j26]Xi Li, Weiming Hu, Chunhua Shen, Anthony R. Dick, Zhongfei (Mark) Zhang:
Context-Aware Hypergraph Construction for Robust Spectral Clustering. IEEE Trans. Knowl. Data Eng. 26(10): 2588-2597 (2014) - [j25]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Asymmetric Pruning for Learning Cascade Detectors. IEEE Trans. Multim. 16(5): 1254-1267 (2014) - [j24]Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel:
Efficient Dual Approach to Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 25(2): 394-406 (2014) - [j23]Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, Anton van den Hengel:
RandomBoost: Simplified Multiclass Boosting Through Randomization. IEEE Trans. Neural Networks Learn. Syst. 25(4): 764-779 (2014) - [c73]Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter:
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CVPR 2014: 1971-1978 - [c72]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features. ECCV (4) 2014: 546-561 - [c71]Guosheng Lin, Chunhua Shen, Jianxin Wu:
Optimizing Ranking Measures for Compact Binary Code Learning. ECCV (3) 2014: 613-627 - [c70]Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang:
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors. NIPS 2014: 1143-1151 - [r1]Chunhua Shen, Anton van den Hengel:
Semidefinite Programming. Computer Vision, A Reference Guide 2014: 717-719 - [i63]Xi Li, Weiming Hu, Chunhua Shen, Anthony R. Dick, Zhongfei Zhang:
Context-Aware Hypergraph Construction for Robust Spectral Clustering. CoRR abs/1401.0764 (2014) - [i62]Chunhua Shen, Fayao Liu:
From Kernel Machines to Ensemble Learning. CoRR abs/1401.0767 (2014) - [i61]Lingqiao Liu, Lei Wang, Chunhua Shen:
A Generalized Probabilistic Framework for Compact Codebook Creation. CoRR abs/1401.7713 (2014) - [i60]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Chunhua Shen, Brian C. Lovell, Conrad Sanderson:
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. CoRR abs/1401.8126 (2014) - [i59]Yan Yan, Chunhua Shen, Hanzi Wang:
Efficient Semidefinite Spectral Clustering via Lagrange Duality. CoRR abs/1402.5497 (2014) - [i58]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Large-margin Learning of Compact Binary Image Encodings. CoRR abs/1402.6383 (2014) - [i57]Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter:
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CoRR abs/1404.1561 (2014) - [i56]Peng Wang, Chunhua Shen, Anton van den Hengel, Philip H. S. Torr:
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference. CoRR abs/1404.5009 (2014) - [i55]Fumin Shen, Chunhua Shen, Heng Tao Shen:
Face Image Classification by Pooling Raw Features. CoRR abs/1406.6811 (2014) - [i54]Fumin Shen, Chunhua Shen, Heng Tao Shen:
Face Identification with Second-Order Pooling. CoRR abs/1406.6818 (2014) - [i53]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features. CoRR abs/1407.0786 (2014) - [i52]Guosheng Lin, Chunhua Shen, Jianxin Wu:
Optimizing Ranking Measures for Compact Binary Code Learning. CoRR abs/1407.1151 (2014) - [i51]Guosheng Lin, Chunhua Shen, Anton van den Hengel:
Supervised Hashing Using Graph Cuts and Boosted Decision Trees. CoRR abs/1408.5574 (2014) - [i50]Lei Luo, Chunhua Shen, Xinwang Liu, Chunyuan Zhang:
A Computational Model of the Short-Cut Rule for 2D Shape Decomposition. CoRR abs/1409.2104 (2014) - [i49]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning. CoRR abs/1409.5209 (2014) - [i48]Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Mid-level Deep Pattern Mining. CoRR abs/1411.6382 (2014) - [i47]Fayao Liu, Chunhua Shen, Guosheng Lin:
Deep Convolutional Neural Fields for Depth Estimation from a Single Image. CoRR abs/1411.6387 (2014) - [i46]Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang:
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors. CoRR abs/1411.6406 (2014) - [i45]Hui Li, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Worst-Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems. CoRR abs/1411.7450 (2014) - [i44]Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
The Treasure beneath Convolutional Layers: Cross-convolutional-layer Pooling for Image Classification. CoRR abs/1411.7466 (2014) - [i43]Peng Wang, Chunhua Shen, Anton van den Hengel:
Large-scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications. CoRR abs/1411.7564 (2014) - [i42]Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Heng Tao Shen:
Hashing on Nonlinear Manifolds. CoRR abs/1412.0826 (2014) - 2013
- [j22]Chunhua Shen, Peng Wang, Sakrapee Paisitkriangkrai, Anton van den Hengel:
Training Effective Node Classifiers for Cascade Classification. Int. J. Comput. Vis. 103(3): 326-347 (2013) - [j21]Chunhua Shen, Hanxi Li, Anton van den Hengel:
Fully corrective boosting with arbitrary loss and regularization. Neural Networks 48: 44-58 (2013) - [j20]Xi Li, Anthony R. Dick, Chunhua Shen, Anton van den Hengel, Hanzi Wang:
Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 863-881 (2013) - [j19]Fumin Shen, Chunhua Shen, Anton van den Hengel, Zhenmin Tang:
Approximate Least Trimmed Sum of Squares Fitting and Applications in Image Analysis. IEEE Trans. Image Process. 22(5): 1836-1847 (2013) - [j18]Xi Li, Anthony R. Dick, Chunhua Shen, Zhongfei Zhang, Anton van den Hengel, Hanzi Wang:
Visual Tracking With Spatio-Temporal Dempster-Shafer Information Fusion. IEEE Trans. Image Process. 22(8): 3028-3040 (2013) - [j17]Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony R. Dick, Anton van den Hengel:
A survey of appearance models in visual object tracking. ACM Trans. Intell. Syst. Technol. 4(4): 58:1-58:48 (2013) - [j16]Lei Luo, Chunhua Shen, Chunyuan Zhang, Anton van den Hengel:
Shape Similarity Analysis by Self-Tuning Locally Constrained Mixed-Diffusion. IEEE Trans. Multim. 15(5): 1174-1183 (2013) - [c69]Peng Wang, Chunhua Shen, Anton van den Hengel:
A Fast Semidefinite Approach to Solving Binary Quadratic Problems. CVPR 2013: 1312-1319 - [c68]Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang:
Inductive Hashing on Manifolds. CVPR 2013: 1562-1569 - [c67]Zhenhua Wang, Qinfeng Shi, Chunhua Shen, Anton van den Hengel:
Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs. CVPR 2013: 1690-1697 - [c66]Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel:
Part-Based Visual Tracking with Online Latent Structural Learning. CVPR 2013: 2363-2370 - [c65]Xi Li, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Learning Compact Binary Codes for Visual Tracking. CVPR 2013: 2419-2426 - [c64]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Efficient Pedestrian Detection by Directly Optimizing the Partial Area under the ROC Curve. ICCV 2013: 1057-1064 - [c63]Guosheng Lin, Chunhua Shen, David Suter, Anton van den Hengel:
A General Two-Step Approach to Learning-Based Hashing. ICCV 2013: 2552-2559 - [c62]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell:
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution. ICCV 2013: 3120-3127 - [c61]Xi Li, Yao Li, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Contextual Hypergraph Modeling for Salient Object Detection. ICCV 2013: 3328-3335 - [c60]Chao Zhang, John W. Bastian, Chunhua Shen, Anton van den Hengel, Tingzhi Shen:
Extended depth-of-field via focus stacking and graph cuts. ICIP 2013: 1272-1276 - [c59]Yao Li, Chunhua Shen, Wenjing Jia, Anton van den Hengel:
Leveraging surrounding context for scene text detection. ICIP 2013: 2264-2268 - [c58]Guosheng Lin, Chunhua Shen, Anton van den Hengel:
Approximate constraint generation for efficient structured boosting. ICIP 2013: 4287-4291 - [c57]Xi Li, Guosheng Lin, Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
Learning Hash Functions Using Column Generation. ICML (1) 2013: 142-150 - [i41]Chunhua Shen, Peng Wang, Sakrapee Paisitkriangkrai, Anton van den Hengel:
Training Effective Node Classifiers for Cascade Classification. CoRR abs/1301.2032 (2013) - [i40]Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, Anton van den Hengel:
RandomBoost: Simplified Multi-class Boosting through Randomization. CoRR abs/1302.0963 (2013) - [i39]Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel:
An Efficient Dual Approach to Distance Metric Learning. CoRR abs/1302.3219 (2013) - [i38]Chunhua Shen, Guosheng Lin, Anton van den Hengel:
StructBoost: Boosting Methods for Predicting Structured Output Variables. CoRR abs/1302.3283 (2013) - [i37]Xi Li, Guosheng Lin, Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
Learning Hash Functions Using Column Generation. CoRR abs/1303.0339 (2013) - [i36]Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony R. Dick, Anton van den Hengel:
A Survey of Appearance Models in Visual Object Tracking. CoRR abs/1303.4803 (2013) - [i35]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Asymmetric Pruning for Learning Cascade Detectors. CoRR abs/1303.6066 (2013) - [i34]Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang:
Inductive Hashing on Manifolds. CoRR abs/1303.7043 (2013) - [i33]Peng Wang, Chunhua Shen, Anton van den Hengel:
A Fast Semidefinite Approach to Solving Binary Quadratic Problems. CoRR abs/1304.0840 (2013) - [i32]Fumin Shen, Chunhua Shen, Rhys Hill, Anton van den Hengel, Zhenmin Tang:
Fast Approximate L_infty Minimization: Speeding Up Robust Regression. CoRR abs/1304.1250 (2013) - [i31]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
A scalable stage-wise approach to large-margin multi-class loss based boosting. CoRR abs/1307.5497 (2013) - [i30]Guosheng Lin, Chunhua Shen, David Suter, Anton van den Hengel:
A General Two-Step Approach to Learning-Based Hashing. CoRR abs/1309.1853 (2013) - [i29]Fumin Shen, Chunhua Shen:
Generic Image Classification Approaches Excel on Face Recognition. CoRR abs/1309.5594 (2013) - [i28]Yao Li, Wenjing Jia, Chunhua Shen, Anton van den Hengel:
Characterness: An Indicator of Text in the Wild. CoRR abs/1309.6691 (2013) - [i27]Fayao Liu, Luping Zhou, Chunhua Shen, Jianping Yin:
Multiple Kernel Learning in the Primal for Multi-modal Alzheimer's Disease Classification. CoRR abs/1310.0890 (2013) - [i26]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Efficient pedestrian detection by directly optimize the partial area under the ROC curve. CoRR abs/1310.0900 (2013) - [i25]Fayao Liu, Chunhua Shen, Ian Reid, Anton van den Hengel:
Online Unsupervised Feature Learning for Visual Tracking. CoRR abs/1310.1690 (2013) - [i24]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell:
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution. CoRR abs/1310.4891 (2013) - [i23]Xi Li, Yao Li, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Contextual Hypergraph Modelling for Salient Object Detection. CoRR abs/1310.5767 (2013) - [i22]Guosheng Lin, Chunhua Shen, Anton van den Hengel, David Suter:
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization. CoRR abs/1311.5947 (2013) - [i21]Zhen Zhang, Qinfeng Shi, Yanning Zhang, Chunhua Shen, Anton van den Hengel:
Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations. CoRR abs/1312.4637 (2013) - 2012
- [j15]Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel:
Positive Semidefinite Metric Learning Using Boosting-like Algorithms. J. Mach. Learn. Res. 13: 1007-1036 (2012) - [j14]Chunhua Shen, Peng Wang, Fumin Shen, Hanzi Wang:
UBoost: Boosting with the Universum. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 825-832 (2012) - [j13]Peng Wang, Chunhua Shen, Nick Barnes, Hong Zheng:
Fast and Robust Object Detection Using Asymmetric Totally Corrective Boosting. IEEE Trans. Neural Networks Learn. Syst. 23(1): 33-46 (2012) - [c56]Guosheng Lin, Chunhua Shen, Anton van den Hengel, David Suter:
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization. ACCV (2) 2012: 782-795 - [c55]Xi Li, Chunhua Shen, Qinfeng Shi, Anthony R. Dick, Anton van den Hengel:
Non-sparse linear representations for visual tracking with online reservoir metric learning. CVPR 2012: 1760-1767 - [c54]Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Sharing features in multi-class boosting via group sparsity. CVPR 2012: 2128-2135 - [c53]Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel:
Robust Tracking with Weighted Online Structured Learning. ECCV (3) 2012: 158-172 - [c52]Qinfeng Shi, Chunhua Shen, Rhys Hill, Anton van den Hengel:
Is margin preserved after random projection?. ICML 2012 - [i20]Xi Li, Chunhua Shen, Qinfeng Shi, Anthony R. Dick, Anton van den Hengel:
Non-sparse Linear Representations for Visual Tracking with Online Reservoir Metric Learning. CoRR abs/1204.2912 (2012) - [i19]Qinfeng Shi, Chunhua Shen, Rhys Hill, Anton van den Hengel:
Is margin preserved after random projection? CoRR abs/1206.4651 (2012) - [i18]Xi Li, Anthony R. Dick, Chunhua Shen, Anton van den Hengel, Hanzi Wang:
Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking. CoRR abs/1207.3389 (2012) - [i17]Chunhua Shen, Sakrapee Paisitkriangkrai, Anton van den Hengel:
A Direct Approach to Multi-class Boosting and Extensions. CoRR abs/1210.4601 (2012) - 2011
- [j12]Chunhua Shen, Sakrapee Paisitkriangkrai, Jian Zhang:
Efficiently Learning a Detection Cascade With Sparse Eigenvectors. IEEE Trans. Image Process. 20(1): 22-35 (2011) - [j11]Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang:
Incremental Training of a Detector Using Online Sparse Eigendecomposition. IEEE Trans. Image Process. 20(1): 213-226 (2011) - [c51]Kyoungup Park, Chunhua Shen, Zhihui Hao, Junae Kim:
Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification. AAAI 2011: 453-458 - [c50]Qinfeng Shi, Anders P. Eriksson, Anton van den Hengel, Chunhua Shen:
Is face recognition really a Compressive Sensing problem? CVPR 2011: 553-560 - [c49]Hanxi Li, Chunhua Shen, Qinfeng Shi:
Real-time visual tracking using compressive sensing. CVPR 2011: 1305-1312 - [c48]Lingqiao Liu, Lei Wang, Chunhua Shen:
A generalized probabilistic framework for compact codebook creation. CVPR 2011: 1537-1544 - [c47]Chunhua Shen, Zhihui Hao:
A direct formulation for totally-corrective multi-class boosting. CVPR 2011: 2585-2592 - [c46]Chunhua Shen, Junae Kim, Lei Wang:
A scalable dual approach to semidefinite metric learning. CVPR 2011: 2601-2608 - [c45]Lei Wang, Chunhua Shen, Richard I. Hartley:
On the Optimality of Sequential Forward Feature Selection Using Class Separability Measure. DICTA 2011: 203-208 - [c44]Tao Wang, Xuming He, Chunhua Shen, Nick Barnes:
Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data. DICTA 2011: 209-216 - [c43]Xi Li, Anthony R. Dick, Hanzi Wang, Chunhua Shen, Anton van den Hengel:
Graph mode-based contextual kernels for robust SVM tracking. ICCV 2011: 1156-1163 - [i16]Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel:
Positive Semidefinite Metric Learning Using Boosting-like Algorithms. CoRR abs/1104.4704 (2011) - [i15]Hanxi Li, Chunhua Shen, Yongsheng Gao:
Face Recognition using Optimal Representation Ensemble. CoRR abs/1110.0264 (2011) - 2010
- [j10]Hongdong Li, Chunhua Shen:
Interactive color image segmentation with linear programming. Mach. Vis. Appl. 21(4): 403-412 (2010) - [j9]Chunhua Shen, Hanxi Li:
On the Dual Formulation of Boosting Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 32(12): 2216-2231 (2010) - [j8]Chunhua Shen, Junae Kim, Hanzi Wang:
Generalized Kernel-Based Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 20(1): 119-130 (2010) - [j7]Chunhua Shen, Hanxi Li:
Boosting through optimization of margin distributions. IEEE Trans. Neural Networks 21(4): 659-666 (2010) - [j6]Luping Zhou, Lei Wang, Chunhua Shen:
Feature selection with redundancy-constrained class separability. IEEE Trans. Neural Networks 21(5): 853-858 (2010) - [j5]Chunhua Shen, Junae Kim, Lei Wang:
Scalable large-margin Mahalanobis distance metric learning. IEEE Trans. Neural Networks 21(9): 1524-1530 (2010) - [c42]Peng Wang, Chunhua Shen, Nick Barnes, Hong Zheng, Zhang Ren:
Asymmetric Totally-Corrective Boosting for Real-Time Object Detection. ACCV (1) 2010: 176-188 - [c41]Zhihui Hao, Chunhua Shen, Nick Barnes, Bo Wang:
Totally-Corrective Multi-class Boosting. ACCV (4) 2010: 269-280 - [c40]Yongbin Zheng, Chunhua Shen, Richard I. Hartley, Xinsheng Huang:
Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection. ACCV (4) 2010: 281-292 - [c39]Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang:
Face Detection with Effective Feature Extraction. ACCV (3) 2010: 460-470 - [c38]Qinfeng Shi, Hanxi Li, Chunhua Shen:
Rapid face recognition using hashing. CVPR 2010: 2753-2760 - [c37]Hanxi Li, Peng Wang, Chunhua Shen:
Robust Face Recognition via Accurate Face Alignment and Sparse Representation. DICTA 2010: 262-269 - [c36]Chunhua Shen, Peng Wang, Hanxi Li:
LACBoost and FisherBoost: Optimally Building Cascade Classifiers. ECCV (2) 2010: 608-621 - [c35]Peng Wang, Chunhua Shen, Hong Zheng, Zhang Ren:
Training a multi-exit cascade with linear asymmetric classification for efficient object detection. ICIP 2010: 61-64 - [c34]Weihong Wang, Jian Zhang, Chunhua Shen:
Improved human detection and classification in thermal images. ICIP 2010: 2313-2316 - [c33]Yongbin Zheng, Chunhua Shen, Xinsheng Huang:
Pedestrian Detection Using Center-Symmetric Local Binary Patterns. ICIP 2010: 3497-3500 - [c32]Luping Zhou, Lei Wang, Chunhua Shen, Nick Barnes:
Hippocampal Shape Classification Using Redundancy Constrained Feature Selection. MICCAI (2) 2010: 266-273 - [e1]Jian Zhang, Chunhua Shen, Glenn Geers:
International Conference on Digital Image Computing: Techniques and Applications, DICTA 2010, Sydney, Australia, 1-3 December, 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4271-3 [contents] - [i14]Chunhua Shen, Junae Kim, Lei Wang:
Scalable Large-Margin Mahalanobis Distance Metric Learning. CoRR abs/1003.0487 (2010) - [i13]Chunhua Shen, Peng Wang, Hanxi Li:
LACBoost and FisherBoost: Optimally Building Cascade Classifiers. CoRR abs/1005.4103 (2010) - [i12]Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang:
Incremental Training of a Detector Using Online Sparse Eigen-decomposition. CoRR abs/1005.4118 (2010) - [i11]Chunhua Shen, Peng Wang, Anton van den Hengel:
Optimally Training a Cascade Classifier. CoRR abs/1008.3742 (2010) - [i10]Yongbin Zheng, Chunhua Shen, Richard I. Hartley, Xinsheng Huang:
Effective Pedestrian Detection Using Center-symmetric Local Binary/Trinary Patterns. CoRR abs/1009.0892 (2010) - [i9]Peng Wang, Chunhua Shen, Nick Barnes, Hong Zheng, Zhang Ren:
Asymmetric Totally-corrective Boosting for Real-time Object Detection. CoRR abs/1009.3078 (2010) - [i8]Zhihui Hao, Chunhua Shen, Nick Barnes, Bo Wang:
Totally Corrective Multiclass Boosting with Binary Weak Learners. CoRR abs/1009.3702 (2010) - [i7]Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang:
Face Detection with Effective Feature Extraction. CoRR abs/1009.5758 (2010) - [i6]Hanxi Li, Chunhua Shen, Qinfeng Shi:
Real-time Visual Tracking Using Sparse Representation. CoRR abs/1012.2603 (2010)
2000 – 2009
- 2009
- [c31]Peng Wang, Chunhua Shen, Hong Zheng, Zhang Ren:
A Variant of the Trace Quotient Formulation for Dimensionality Reduction. ACCV (3) 2009: 277-286 - [c30]Junae Kim, Chunhua Shen, Lei Wang:
A Scalable Algorithm for Learning a Mahalanobis Distance Metric. ACCV (3) 2009: 299-310 - [c29]Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang:
Efficiently training a better visual detector with sparse eigenvectors. CVPR 2009: 1129-1136 - [c28]Weihong Wang, Chunhua Shen, Jian Zhang, Sakrapee Paisitkriangkrai:
A Two-Layer Night-Time Vehicle Detector. DICTA 2009: 162-167 - [c27]Yuchao Dai, Hongdong Li, Mingyi He, Chunhua Shen:
Smooth Approximation of L_infinity-Norm for Multi-view Geometry. DICTA 2009: 339-346 - [c26]Jian Zhang, Sakrapee Paisitkriangkrai, Chunhua Shen:
An overview of fast pedestrian detection: Feature selection and cascade framework of boosted features. ICME 2009: 1566-1567 - [c25]Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel:
Positive Semidefinite Metric Learning with Boosting. NIPS 2009: 1651-1659 - [i5]Chunhua Shen, Hanxi Li:
A Duality View of Boosting Algorithms. CoRR abs/0901.3590 (2009) - [i4]Chunhua Shen, Sakrapee Paisitkriangkrai, Jian Zhang:
Efficiently Learning a Detection Cascade with Sparse Eigenvectors. CoRR abs/0903.3103 (2009) - [i3]Chunhua Shen, Hanxi Li:
Boosting through Optimization of Margin Distributions. CoRR abs/0904.2037 (2009) - [i2]Chunhua Shen, Junae Kim, Hanzi Wang:
Generalized Kernel-based Visual Tracking. CoRR abs/0905.2463 (2009) - [i1]Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel:
Positive Semidefinite Metric Learning with Boosting. CoRR abs/0910.2279 (2009) - 2008
- [j4]Chunhua Shen, Hongdong Li, Michael J. Brooks:
Supervised dimensionality reduction via sequential semidefinite programming. Pattern Recognit. 41(12): 3644-3652 (2008) - [j3]Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang:
Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features. IEEE Trans. Circuits Syst. Video Technol. 18(8): 1140-1151 (2008) - [c24]Yifan Lu, Lei Wang, Richard I. Hartley, Hongdong Li, Chunhua Shen:
Multi-view Human Motion Capture with an Improved Deformation Skin Model. DICTA 2008: 420-427 - [c23]Chunhua Shen, Hongdong Li, Michael J. Brooks:
Self-Calibrating Cameras Using Semidefinite Programming. DICTA 2008: 436-441 - [c22]Hanxi Li, Chunhua Shen:
Boosting the Minimum Margin: LPBoost vs. AdaBoost. DICTA 2008: 533-539 - [c21]Junae Kim, Chunhua Shen, Lei Wang:
Learning Cascaded Reduced-Set SVMs Using Linear Programming. DICTA 2008: 619-626 - [c20]Lei Wang, Luping Zhou, Chunhua Shen:
A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook. ECCV (4) 2008: 719-732 - [c19]Chunhua Shen, Sakrapee Paisitkriangkrai, Jian Zhang:
Face detection from few training examples. ICIP 2008: 2764-2767 - [c18]Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang:
An experimental study on pedestrian classification using local features. ISCAS 2008: 2741-2744 - [c17]Chunhua Shen, Alan Welsh, Lei Wang:
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning. NIPS 2008: 1473-1480 - 2007
- [j2]Hanzi Wang, David Suter, Konrad Schindler, Chunhua Shen:
Adaptive Object Tracking Based on an Effective Appearance Filter. IEEE Trans. Pattern Anal. Mach. Intell. 29(9): 1661-1667 (2007) - [j1]Chunhua Shen, Michael J. Brooks, Anton van den Hengel:
Fast Global Kernel Density Mode Seeking: Applications to Localization and Tracking. IEEE Trans. Image Process. 16(5): 1457-1469 (2007) - [c16]Chunhua Shen, Hongdong Li, Michael J. Brooks:
A Convex Programming Approach to the Trace Quotient Problem. ACCV (2) 2007: 227-235 - [c15]Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Shen:
Kernel-based Tracking from a Probabilistic Viewpoint. CVPR 2007 - [c14]Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang:
An Experimental Evaluation of Local Features for Pedestrian Classification. DICTA 2007: 53-60 - [c13]Hongdong Li, Chunhua Shen, Zhiying Wen:
Color Image Labelling Using Linear Programming. DICTA 2007: 239-244 - [c12]Chunhua Shen, Hongdong Li, Michael J. Brooks:
Feature Extraction Using Sequential Semidefinite Programming. DICTA 2007: 430-437 - [c11]Hongdong Li, Chunhua Shen:
Object-Respecting Color Image Segmentation. ICIP (2) 2007: 257-260 - 2006
- [c10]Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Shen:
Enhanced Kernel-Based Tracking for Monochromatic and Thermographic Video. AVSS 2006: 28 - [c9]Chunhua Shen, Hongdong Li, Michael J. Brooks:
Classification-Based Likelihood Functions for Bayesian Tracking. AVSS 2006: 33 - [c8]Hongdong Li, Chunhua Shen:
An LMI Approach for Reliable PTZ Camera Self-Calibration. AVSS 2006: 79 - 2005
- [c7]Chunhua Shen, Michael J. Brooks, Anton van den Hengel:
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking. ICCV 2005: 1516-1523 - [c6]Chunhua Shen, Anton van den Hengel, Michael J. Brooks:
Visual tracking via efficient kernel discriminant subspace learning. ICIP (2) 2005: 590-593 - [c5]Chunhua Shen, Michael J. Brooks, Anton van den Hengel:
Augmented particle filtering for efficient visual tracking. ICIP (3) 2005: 856-859 - [c4]Chunhua Shen, Michael J. Brooks:
Adaptive over-relaxed mean shift. ISSPA 2005: 575-578 - 2004
- [c3]Chunhua Shen, Anton van den Hengel, Anthony R. Dick, Michael J. Brooks:
2D Articulated Tracking with Dynamic Bayesian Networks. CIT 2004: 130-136 - [c2]Chunhua Shen, Anton van den Hengel, Anthony R. Dick, Michael J. Brooks:
Enhanced Importance Sampling: Unscented Auxiliary Particle Filtering for Visual Tracking. Australian Conference on Artificial Intelligence 2004: 180-191 - 2003
- [c1]Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
Probabilistic Multiple Cue Integration for Particle Filter Based Tracking. DICTA 2003: 399-408
Coauthor Index
Jiawang Bian
aka: Jia-Wang Bian
aka: Jia-Wang Bian
[j169] [j168] [c268] [c266] [c264] [c263] [c260] [c259] [c258] [c257] [c254] [i384] [i383] [i382] [i380] [i378] [i376] [i375] [i373] [i372] [i371] [i370] [i369] [i368] [i367] [i363] [j165] [j163] [c250] [c249] [c248] [c242] [c241] [c237] [i356] [i354] [i353] [i352] [i349] [i348] [i345] [i344] [i343] [i342] [i341] [i340] [i335] [i334] [i333] [i332] [i329] [j151] [j145] [j140] [j126] [j123] [j120] [c209] [c208] [i296] [i294] [i290] [i282] [i272] [j111] [c184] [c183] [c182] [c178] [c170] [c158] [i270] [i263] [i260] [i245] [i233] [i223] [i219] [c146] [c139] [c137] [i211] [i208] [i205] [i190] [i186] [i181] [i176] [i152]
[j172] [j161] [c238] [j153] [j152] [c236] [c229] [c227] [i326] [i325] [i324] [i315] [c213] [c194] [i277] [i275] [j113] [j106] [j101] [j99] [c188] [c186] [c181] [c180] [c177] [c161] [i262] [i258] [i244] [i235] [i227] [j97] [j94] [j91] [c153] [c152] [c147] [c136] [i207] [i206] [i201] [i183] [i180] [j83] [j81] [j80] [j79] [j76] [j73] [c130] [c122] [c120] [c119] [c115] [i168] [i162] [i157] [i148] [i146] [j68] [j67] [j66] [j64] [j63] [j62] [j61] [j60] [j58] [c108] [c107] [c105] [c104] [c102] [c97] [i135] [i131] [i130] [i129] [i126] [i122] [i120] [i119] [i116] [j52] [j51] [j47] [j43] [j42] [c94] [c93] [c92] [c91] [c90] [c87] [c86] [i114] [i112] [i109] [i107] [i105] [i104] [i103] [i101] [i100] [i97] [i96] [i95] [i94] [i91] [i86] [i85] [i83] [i82] [j39] [j36] [j35] [c82] [c81] [c80] [c79] [c78] [c77] [c74] [i78] [i76] [i75] [i74] [i73] [i72] [i71] [i69] [i68] [i67] [i66] [i65] [j34] [j32] [j30] [j28] [j25] [j24] [j23] [c73] [c72] [c70] [r1] [i58] [i57] [i56] [i53] [i51] [i49] [i48] [i46] [i45] [i44] [i43] [i42] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c61] [c60] [c59] [c58] [c57] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i28] [i26] [i25] [i23] [i22] [i21] [j15] [c56] [c55] [c54] [c53] [c52] [i20] [i19] [i18] [i17] [c50] [c43] [i16] [i11] [c25] [i1] [j1] [c7] [c6] [c5] [c3] [c2] [c1]
[j174] [j170] [c265] [j162] [i351] [i339] [i336] [c231] [c212] [c198] [i281] [i274] [j112] [c175] [i259] [j90] [j84] [c148] [i215] [j81] [j75] [j69] [c124] [i170] [i154] [j65] [j55] [c110] [c106] [c105] [c96] [i143] [i141] [i136] [j46] [c91] [c89] [i111] [i108] [i106] [i105] [i99] [i89] [i86] [j39] [j38] [c84] [c76] [c74] [i80] [i77] [i76] [i72] [j32] [c73] [c71] [i57] [i52] [i51] [i47] [c63] [c58] [c57] [i38] [i37] [i30] [i22] [c56]
[c250] [i353] [j149] [j143] [j113] [j111] [j106] [c188] [c185] [c161] [j93] [j87] [c155] [i212] [i201] [i195] [i185] [i178] [c129] [c117] [i164] [i162] [i157] [i149] [i147] [j66] [j63] [j62] [j60] [j57] [c110] [c109] [c108] [c105] [c104] [c103] [c101] [c98] [i144] [i142] [i139] [i136] [i130] [i124] [i123] [j49] [c94] [c93] [c92] [c87] [i114] [i110] [i109] [i103] [i101] [i93] [i87] [i86] [i83] [c82] [c77] [i79] [i74] [i73] [i71] [i69] [j33] [c70] [i61] [i48] [i46] [i44] [c48]
[j171] [j152] [j149] [j143] [j138] [i301] [j125] [i280] [j112] [j98] [c185] [c158] [c157] [i257] [i247] [c155] [c153] [c146] [c138] [c133] [i212] [i209] [i208] [i206] [i203] [i195] [i191] [i185] [j81] [c130] [c127] [c126] [c124] [c122] [c120] [c119] [c117] [i158] [i156] [i155] [i153] [i152] [i149] [c110] [c109] [c108] [c106] [c103] [c98] [c96] [i144] [i143] [i142] [i136] [i135] [i124] [i122] [i120] [j51] [j46] [c91] [c89] [i106] [i105] [i89] [i87] [i83] [c84] [c74] [i80] [i76] [i72] [i25]
Qinfeng Shi
aka: Qinfeng (Javen) Shi
aka: Qinfeng (Javen) Shi
[j175] [j163] [c240] [i347] [j145] [c229] [c225] [c219] [i326] [i312] [i304] [j123] [c208] [c204] [c190] [c189] [i294] [i289] [i284] [i279] [i276] [i272] [c183] [c179] [c178] [c170] [c166] [i270] [i269] [i265] [i260] [i254] [i245] [i233] [i223] [c154] [c150] [c139] [i216] [i213] [i211] [i205] [i181] [c121] [i169]
[j165] [c250] [i353] [i348] [j142] [j123] [j121] [j118] [i288] [i272] [c178] [i246] [i222] [j89] [j86] [c156] [c147] [i210] [i205] [i204] [j82] [j80] [j79] [j76] [c120] [i151] [i150] [i148] [i146] [j67] [j64] [c107] [c100] [c97] [i132] [i125] [i120] [j52] [c90] [i107] [i104] [i94] [i91] [i82] [c79] [i75] [i67] [i66] [i56] [i43] [j22] [c69] [i41] [i33] [j14] [j13] [c42] [c37] [c36] [c35] [i13] [i11] [i9] [c31]
[c258] [i368] [i367] [j155] [c253] [c251] [c247] [c240] [i356] [i355] [i354] [j139] [c232] [c229] [i326] [i323] [i311] [i298] [c216] [c210] [c208] [c205] [c204] [i289] [i279] [i278] [c187] [c171] [c165] [c159] [i265] [i255] [i234] [i224] [i223] [i220] [c149] [i217] [i187] [i177] [c118] [i133] [i118]
Lin Wu 0001
aka: Lin Yuanbo Wu
aka: Lin Yuanbo Wu
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