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2020 – today
- 2025
- [j112]Xingye Chen, Wenxiao Wu, Li Ma, Xinge You, Changxin Gao, Nong Sang, Yuanjie Shao:
Exploring sample relationship for few-shot classification. Pattern Recognit. 159: 111089 (2025) - 2024
- [j111]Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Nong Sang, Changxin Gao:
Semantic segmentation via pixel-to-center similarity calculation. CAAI Trans. Intell. Technol. 9(1): 87-100 (2024) - [j110]Xiang Wang, Shiwei Zhang, Jun Cen, Changxin Gao, Yingya Zhang, Deli Zhao, Nong Sang:
CLIP-guided Prototype Modulating for Few-shot Action Recognition. Int. J. Comput. Vis. 132(6): 1899-1912 (2024) - [j109]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Zhengrong Zuo, Changxin Gao, Rong Jin, Nong Sang:
HyRSM++: Hybrid relation guided temporal set matching for few-shot action recognition. Pattern Recognit. 147: 110110 (2024) - [j108]Wenxiao Wu, Yuanjie Shao, Changxin Gao, Jing-Hao Xue, Nong Sang:
Query-centric distance modulator for few-shot classification. Pattern Recognit. 151: 110380 (2024) - [j107]Feng Zhang, Xinran Liu, Changxin Gao, Nong Sang:
Color and Luminance Separated Enhancement for Low-Light Images with Brightness Guidance. Sensors 24(9): 2711 (2024) - [j106]Guilin Zhu, Runmin Wang, Yingying Liu, Zhenlin Zhu, Changxin Gao, Li Liu, Nong Sang:
An Adaptive Post-Processing Network With the Global-Local Aggregation for Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(2): 1159-1173 (2024) - [j105]Ziwen Li, Yuanjie Shao, Feng Zhang, Jinpu Zhang, Yuehuan Wang, Nong Sang:
Difficulty-Aware Dynamic Network for Lightweight Exposure Correction. IEEE Trans. Circuits Syst. Video Technol. 34(6): 5033-5048 (2024) - [j104]Haoyou Deng, Lida Li, Feng Zhang, Zhiqiang Li, Bin Xu, Qingbo Lu, Changxin Gao, Nong Sang:
Toward Blind Flare Removal Using Knowledge-Driven Flare-Level Estimator. IEEE Trans. Image Process. 33: 6114-6128 (2024) - [j103]Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Xiang Wang, Yuehuan Wang, Yiliang Lv, Changxin Gao, Nong Sang:
MAR: Masked Autoencoders for Efficient Action Recognition. IEEE Trans. Multim. 26: 218-233 (2024) - [j102]Runmin Wang, Zhenlin Zhu, Yanbin Zhu, Hua Chen, Yongzhong Liao, Ziyu Zhu, Yajun Ding, Changxin Gao, Nong Sang:
DIMGNet: A Transformer-Based Network for Pedestrian Reidentification With Multi-Granularity Information Mutual Gain. IEEE Trans. Multim. 26: 6513-6528 (2024) - [c136]Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao:
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. AAAI 2024: 6378-6386 - [c135]Huaxin Zhang, Xiang Wang, Xiaohao Xu, Zhiwu Qing, Changxin Gao, Nong Sang:
HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation. AAAI 2024: 7115-7123 - [c134]Ziwen Li, Feng Zhang, Meng Cao, Jinpu Zhang, Yuanjie Shao, Yuehuan Wang, Nong Sang:
Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling. CVPR 2024: 2984-2994 - [c133]Xiang Wang, Shiwei Zhang, Hangjie Yuan, Zhiwu Qing, Biao Gong, Yingya Zhang, Yujun Shen, Changxin Gao, Nong Sang:
A Recipe for Scaling up Text-to-Video Generation with Text-free Videos. CVPR 2024: 6572-6582 - [c132]Zhiwu Qing, Shiwei Zhang, Jiayu Wang, Xiang Wang, Yujie Wei, Yingya Zhang, Changxin Gao, Nong Sang:
Hierarchical Spatio-temporal Decoupling for Text-to- Video Generation. CVPR 2024: 6635-6645 - [c131]Jialong Zuo, Hanyu Zhou, Ying Nie, Feng Zhang, Tianyu Guo, Nong Sang, Yunhe Wang, Changxin Gao:
UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity. CVPR 2024: 22010-22019 - [c130]Xiangheng Shan, Dongyue Wu, Guilin Zhu, Yuanjie Shao, Nong Sang, Changxin Gao:
Open-Vocabulary Semantic Segmentation with Image Embedding Balancing. CVPR 2024: 28412-28421 - [c129]Zhengze Xu, Mengting Chen, Zhao Wang, Linyu Xing, Zhonghua Zhai, Nong Sang, Jinsong Lan, Shuai Xiao, Changxin Gao:
Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos. ACM Multimedia 2024: 3199-3208 - [c128]Rongsheng Luo, Rukai Wei, Huaxin Zhang, Ming Tian, Changxin Gao, Nong Sang:
EfficientMatting: Bilateral Matting Network for Real-Time Human Matting. PRCV (12) 2024: 128-142 - [i72]Jiahao Hong, Jialong Zuo, Chuchu Han, Ruochen Zheng, Ming Tian, Changxin Gao, Nong Sang:
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification. CoRR abs/2403.00261 (2024) - [i71]Huaxin Zhang, Xiang Wang, Xiaohao Xu, Xiaonan Huang, Chuchu Han, Yuehuan Wang, Changxin Gao, Shanjun Zhang, Nong Sang:
GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection. CoRR abs/2403.06154 (2024) - [i70]Ruochen Zheng, Jiahao Hong, Changxin Gao, Nong Sang:
REPAIR: Rank Correlation and Noisy Pair Half-replacing with Memory for Noisy Correspondence. CoRR abs/2403.08224 (2024) - [i69]Zhengze Xu, Mengting Chen, Zhao Wang, Linyu Xing, Zhonghua Zhai, Nong Sang, Jinsong Lan, Shuai Xiao, Changxin Gao:
Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos. CoRR abs/2404.17571 (2024) - [i68]Xiang Wang, Shiwei Zhang, Changxin Gao, Jiayu Wang, Xiaoqiang Zhou, Yingya Zhang, Luxin Yan, Nong Sang:
UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation. CoRR abs/2406.01188 (2024) - [i67]Xiangheng Shan, Dongyue Wu, Guilin Zhu, Yuanjie Shao, Nong Sang, Changxin Gao:
Open-Vocabulary Semantic Segmentation with Image Embedding Balancing. CoRR abs/2406.09829 (2024) - [i66]Huaxin Zhang, Xiaohao Xu, Xiang Wang, Jialong Zuo, Chuchu Han, Xiaonan Huang, Changxin Gao, Yuehuan Wang, Nong Sang:
Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM. CoRR abs/2406.12235 (2024) - [i65]Jialong Zuo, Ying Nie, Hanyu Zhou, Huaxin Zhang, Haoyu Wang, Tianyu Guo, Nong Sang, Changxin Gao:
Cross-video Identity Correlating for Person Re-identification Pre-training. CoRR abs/2409.18569 (2024) - [i64]Xiang Wang, Changxin Gao, Yuehuan Wang, Nong Sang:
Replace Anyone in Videos. CoRR abs/2409.19911 (2024) - [i63]Siyi Jiao, Wenzheng Zeng, Changxin Gao, Nong Sang:
DFIMat: Decoupled Flexible Interactive Matting in Multi-Person Scenarios. CoRR abs/2410.09788 (2024) - [i62]Yanpeng Sun, Huaxin Zhang, Qiang Chen, Xinyu Zhang, Nong Sang, Gang Zhang, Jingdong Wang, Zechao Li:
Improving Multi-modal Large Language Model through Boosting Vision Capabilities. CoRR abs/2410.13733 (2024) - 2023
- [j101]Yuan Cui, Moran Li, Yuan Gao, Changxin Gao, Fan Wu, Hao Wen, Jiwei Li, Nong Sang:
Camera distance helps 3D hand pose estimated from a single RGB image. Graph. Model. 127: 101179 (2023) - [j100]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yiliang Lv, Changxin Gao, Nong Sang:
Cross-domain few-shot action recognition with unlabeled videos. Comput. Vis. Image Underst. 233: 103737 (2023) - [j99]Xinyue Zhang, Changxin Gao, Guodong Wang, Nong Sang, Hao Dong:
Semi-supervised portrait matting using transformer. Digit. Signal Process. 133: 103849 (2023) - [j98]Xinyue Zhang, Changxin Gao, Guodong Wang, Nong Sang:
Focusing on features with higher importance degree: A significance-wise mechanism for image restoration. Digit. Signal Process. 143: 104248 (2023) - [j97]Pengqi Tu, Nong Sang:
Dual Attention Mechanism Based Outline Loss for Image Stylization. Neural Process. Lett. 55(1): 537-549 (2023) - [j96]Chuchu Han, Zhedong Zheng, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang:
DMRNet++: Learning Discriminative Features With Decoupled Networks and Enriched Pairs for One-Step Person Search. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7319-7337 (2023) - [j95]Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yi Xu, Xiang Wang, Changxin Gao, Rong Jin, Nong Sang:
Self-Supervised Learning from Untrimmed Videos via Hierarchical Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12408-12426 (2023) - [j94]Yuanjie Shao, Wenxiao Wu, Xinge You, Changxin Gao, Nong Sang:
Improving the Generalization of MAML in Few-Shot Classification via Bi-Level Constraint. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3284-3295 (2023) - [j93]Beibei Yang, Changqian Yu, Jin-Gang Yu, Changxin Gao, Nong Sang:
Pose-Guided Hierarchical Semantic Decomposition and Composition for Human Parsing. IEEE Trans. Cybern. 53(3): 1641-1652 (2023) - [j92]Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Changxin Gao, Nong Sang:
Conditional Boundary Loss for Semantic Segmentation. IEEE Trans. Image Process. 32: 3717-3731 (2023) - [j91]Zhiwu Qing, Ziyuan Huang, Shiwei Zhang, Mingqian Tang, Changxin Gao, Rong Jin, Marcelo H. Ang, Nong Sang:
ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning. IEEE Trans. Multim. 25: 9002-9014 (2023) - [j90]Jiyuan Chen, Changxin Gao, Li Sun, Nong Sang:
CCSD: cross-camera self-distillation for unsupervised person re-identification. Vis. Intell. 1(1) (2023) - [c127]Rongsheng Luo, Rukai Wei, Changxin Gao, Nong Sang:
Frequency Information Matters for Image Matting. ACPR (1) 2023: 81-94 - [c126]Deming Wang, Changxin Gao, Nong Sang:
Portrait Matting via Semantic and Detail Guidance. ACPR (1) 2023: 165-178 - [c125]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Changxin Gao, Yingya Zhang, Deli Zhao, Nong Sang:
MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition. CVPR 2023: 18011-18021 - [c124]Feng Zhang, Bin Xu, Zhiqiang Li, Xinran Liu, Qingbo Lu, Changxin Gao, Nong Sang:
Towards General Low-Light Raw Noise Synthesis and Modeling. ICCV 2023: 10786-10796 - [c123]Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yingya Zhang, Changxin Gao, Deli Zhao, Nong Sang:
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning. ICCV 2023: 13888-13898 - [c122]Feng Zhang, Ming Tian, Zhiqiang Li, Bin Xu, Qingbo Lu, Changxin Gao, Nong Sang:
Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping. NeurIPS 2023 - [c121]Feng Zhang, Yuanjie Shao, Yishi Sun, Changxin Gao, Nong Sang:
Self-supervised Low-Light Image Enhancement via Histogram Equalization Prior. PRCV (11) 2023: 63-75 - [i61]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Zhengrong Zuo, Changxin Gao, Rong Jin, Nong Sang:
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition. CoRR abs/2301.03330 (2023) - [i60]Huan Peng, Fenggang Liu, Yangguang Li, Bin Huang, Jing Shao, Nong Sang, Changxin Gao:
Parallel Reasoning Network for Human-Object Interaction Detection. CoRR abs/2301.03510 (2023) - [i59]Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Changxin Gao, Nong Sang:
Semantic Segmentation via Pixel-to-Center Similarity Calculation. CoRR abs/2301.04870 (2023) - [i58]Xiang Wang, Shiwei Zhang, Jun Cen, Changxin Gao, Yingya Zhang, Deli Zhao, Nong Sang:
CLIP-guided Prototype Modulating for Few-shot Action Recognition. CoRR abs/2303.02982 (2023) - [i57]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Changxin Gao, Yingya Zhang, Deli Zhao, Nong Sang:
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition. CoRR abs/2304.00946 (2023) - [i56]Jialong Zuo, Changqian Yu, Nong Sang, Changxin Gao:
PLIP: Language-Image Pre-training for Person Representation Learning. CoRR abs/2305.08386 (2023) - [i55]Feng Zhang, Bin Xu, Zhiqiang Li, Xinran Liu, Qingbo Lu, Changxin Gao, Nong Sang:
Towards General Low-Light Raw Noise Synthesis and Modeling. CoRR abs/2307.16508 (2023) - [i54]Huaxin Zhang, Xiang Wang, Xiaohao Xu, Zhiwu Qing, Changxin Gao, Nong Sang:
HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation. CoRR abs/2308.12608 (2023) - [i53]Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yingya Zhang, Changxin Gao, Deli Zhao, Nong Sang:
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning. CoRR abs/2309.07911 (2023) - [i52]Xiang Wang, Shiwei Zhang, Hangjie Yuan, Yingya Zhang, Changxin Gao, Deli Zhao, Nong Sang:
Few-shot Action Recognition with Captioning Foundation Models. CoRR abs/2310.10125 (2023) - [i51]Feng Zhang, Ming Tian, Zhiqiang Li, Bin Xu, Qingbo Lu, Changxin Gao, Nong Sang:
Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping. CoRR abs/2310.17190 (2023) - [i50]Jialong Zuo, Hanyu Zhou, Ying Nie, Feng Zhang, Tianyu Guo, Nong Sang, Yunhe Wang, Changxin Gao:
UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity. CoRR abs/2312.03441 (2023) - [i49]Zhiwu Qing, Shiwei Zhang, Jiayu Wang, Xiang Wang, Yujie Wei, Yingya Zhang, Changxin Gao, Nong Sang:
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation. CoRR abs/2312.04483 (2023) - [i48]Xiang Wang, Shiwei Zhang, Han Zhang, Yu Liu, Yingya Zhang, Changxin Gao, Nong Sang:
VideoLCM: Video Latent Consistency Model. CoRR abs/2312.09109 (2023) - [i47]Xiang Wang, Shiwei Zhang, Hangjie Yuan, Zhiwu Qing, Biao Gong, Yingya Zhang, Yujun Shen, Changxin Gao, Nong Sang:
A Recipe for Scaling up Text-to-Video Generation with Text-free Videos. CoRR abs/2312.15770 (2023) - [i46]Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao:
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. CoRR abs/2312.17071 (2023) - 2022
- [j89]Ying Shi, Jun Sang, Zhongyuan Wu, Fusen Wang, Xinyue Liu, Xiaofeng Xia, Nong Sang:
MGSNet: A multi-scale and gated spatial attention network for crowd counting. Appl. Intell. 52(13): 15436-15446 (2022) - [j88]Moran Li, Haibin Huang, Yi Zheng, Mengtian Li, Nong Sang, Chongyang Ma:
Implicit Neural Deformation for Sparse-View Face Reconstruction. Comput. Graph. Forum 41(7): 601-610 (2022) - [j87]Fusen Wang, Jun Sang, Zhongyuan Wu, Qi Liu, Nong Sang:
Hybrid attention network based on progressive embedding scale-context for crowd counting. Inf. Sci. 591: 306-318 (2022) - [j86]Huai Qin, Changqian Yu, Changxin Gao, Nong Sang:
D2T: A Framework For transferring detection to tracking. Pattern Recognit. 126: 108544 (2022) - [j85]Chuchu Han, Xin Yu, Changxin Gao, Nong Sang, Yi Yang:
Single image based 3D human pose estimation via uncertainty learning. Pattern Recognit. 132: 108934 (2022) - [j84]Zongheng Huang, Botao He, Bo Yang, Changxin Gao, Nong Sang:
Norm-Aware Margin Assignment for Person Re-Identification. IEEE Signal Process. Lett. 29: 1292-1296 (2022) - [j83]Zhixiong Pi, Yuanjie Shao, Changxin Gao, Nong Sang:
Instance-Based Feature Pyramid for Visual Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3774-3787 (2022) - [c120]Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang:
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID. AAAI 2022: 2750-2758 - [c119]Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yi Xu, Xiang Wang, Mingqian Tang, Changxin Gao, Rong Jin, Nong Sang:
Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency. CVPR 2022: 13811-13821 - [c118]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Mingqian Tang, Zhengrong Zuo, Changxin Gao, Rong Jin, Nong Sang:
Hybrid Relation Guided Set Matching for Few-shot Action Recognition. CVPR 2022: 19916-19925 - [c117]Zhixiong Pi, Weitao Wan, Chong Sun, Changxin Gao, Nong Sang, Chen Li:
Hierarchical Feature Embedding for Visual Tracking. ECCV (22) 2022: 428-445 - [c116]Fusen Wang, Jun Sang, Chunlin Huang, Bin Cai, Hong Xiang, Nong Sang:
Applying Deep Learning to Known-Plaintext Attack on Chaotic Image Encryption Schemes. ICASSP 2022: 3029-3033 - [c115]Guilin Zhu, Runmin Wang, Chang Han, Yingying Liu, Yajun Ding, Minghao Liu, Li Liu, Nong Sang:
RFNet: A Refinement Network for Semantic Segmentation. ICPR 2022: 670-676 - [c114]Yixuan Pei, Zhiwu Qing, Jun Cen, Xiang Wang, Shiwei Zhang, Yaxiong Wang, Mingqian Tang, Nong Sang, Xueming Qian:
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning. NeurIPS 2022 - [c113]Pengqi Tu, Changxin Gao, Nong Sang:
Unsupervised Image Translation with GAN Prior. PRCV (1) 2022: 700-711 - [i45]Fusen Wang, Kai Liu, Fei Long, Nong Sang, Xiaofeng Xia, Jun Sang:
Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting. CoRR abs/2203.06388 (2022) - [i44]Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yi Xu, Xiang Wang, Mingqian Tang, Changxin Gao, Rong Jin, Nong Sang:
Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency. CoRR abs/2204.03017 (2022) - [i43]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Mingqian Tang, Zhengrong Zuo, Changxin Gao, Rong Jin, Nong Sang:
Hybrid Relation Guided Set Matching for Few-shot Action Recognition. CoRR abs/2204.13423 (2022) - [i42]Xiang Wang, Huaxin Zhang, Shiwei Zhang, Changxin Gao, Yuanjie Shao, Nong Sang:
Context-aware Proposal Network for Temporal Action Detection. CoRR abs/2206.09082 (2022) - [i41]Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Xiang Wang, Yuehuan Wang, Yiliang Lv, Changxin Gao, Nong Sang:
MAR: Masked Autoencoders for Efficient Action Recognition. CoRR abs/2207.11660 (2022) - [i40]Yixuan Pei, Zhiwu Qing, Jun Cen, Xiang Wang, Shiwei Zhang, Yaxiong Wang, Mingqian Tang, Nong Sang, Xueming Qian:
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning. CoRR abs/2211.00833 (2022) - 2021
- [j82]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) - [j81]Ruochen Zheng, Changxin Gao, Nong Sang:
Viewpoint Transform Matching model for person re-identification. Neurocomputing 433: 19-27 (2021) - [j80]Jiahui Liu, Changqian Yu, Beibei Yang, Changxin Gao, Nong Sang:
CSENet: Cascade semantic erasing network for weakly-supervised semantic segmentation. Neurocomputing 453: 885-895 (2021) - [j79]Changqian Yu, Yuanjie Shao, Changxin Gao, Nong Sang:
CondNet: Conditional Classifier for Scene Segmentation. IEEE Signal Process. Lett. 28: 758-762 (2021) - [j78]Moran Li, Jialong Wang, Nong Sang:
Latent Distribution-Based 3D Hand Pose Estimation From Monocular RGB Images. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4883-4894 (2021) - [c112]Chuchu Han, Zhedong Zheng, Changxin Gao, Nong Sang, Yi Yang:
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search. AAAI 2021: 1505-1512 - [c111]Moran Li, Yuan Gao, Nong Sang:
Exploiting Learnable Joint Groups for Hand Pose Estimation. AAAI 2021: 1921-1929 - [c110]Zhixiong Pi, Changxin Gao, Nong Sang:
Siamese Tracking with Bilinear Features. ACPR (2) 2021: 421-435 - [c109]Zhiwu Qing, Haisheng Su, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, Nong Sang:
Temporal Context Aggregation Network for Temporal Action Proposal Refinement. CVPR 2021: 485-494 - [c108]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Changxin Gao, Nong Sang:
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal. CVPR 2021: 1905-1914 - [c107]Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, Jingdong Wang:
Lite-HRNet: A Lightweight High-Resolution Network. CVPR 2021: 10440-10450 - [c106]Ying Shi, Jun Sang, Jinghan Tan, Zhongyuan Wu, Bin Cai, Nong Sang:
GC-MRNet: Gated Cascade Multi-stage Regression Network for Crowd Counting. ICANN (2) 2021: 53-66 - [c105]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Zhengrong Zuo, Changxin Gao, Nong Sang:
OadTR: Online Action Detection with Transformers. ICCV 2021: 7545-7555 - [c104]Shizhen Zhao, Changxin Gao, Yuanjie Shao, Wei-Shi Zheng, Nong Sang:
Weakly Supervised Text-based Person Re-Identification. ICCV 2021: 11375-11384 - [c103]Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang:
Weakly Supervised Person Search with Region Siamese Networks. ICCV 2021: 11986-11995 - [c102]Kai Zhu, Nong Sang:
Multi-scale Deformable Deblurring Kernel Prediction for Dynamic Scene Deblurring. ICIG (3) 2021: 253-264 - [c101]Zhongyuan Wu, Jun Sang, Ying Shi, Qi Liu, Nong Sang, Xinyue Liu:
CRANet: Cascade Residual Attention Network for Crowd Counting. ICME 2021: 1-6 - [c100]Qi Liu, Jun Sang, Fusen Wang, Li Yang, Xiaofeng Xia, Nong Sang:
Scale-Aware Multi-stage Fusion Network for Crowd Counting. ICONIP (6) 2021: 3-11 - [c99]Rui Wang, Jian Chen, Gang Yu, Li Sun, Changqian Yu, Changxin Gao, Nong Sang:
Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation. ACM Multimedia 2021: 926-934 - [i39]Chuchu Han, Zhedong Zheng, Changxin Gao, Nong Sang, Yi Yang:
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search. CoRR abs/2102.10795 (2021) - [i38]Zhiwu Qing, Haisheng Su, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, Nong Sang:
Temporal Context Aggregation Network for Temporal Action Proposal Refinement. CoRR abs/2103.13141 (2021) - [i37]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Changxin Gao, Nong Sang:
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal. CoRR abs/2104.03214 (2021) - [i36]Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, Jingdong Wang:
Lite-HRNet: A Lightweight High-Resolution Network. CoRR abs/2104.06403 (2021) - [i35]Fusen Wang, Jun Sang, Zhongyuan Wu, Qi Liu, Nong Sang:
Hybrid attention network based on progressive embedding scale-context for crowd counting. CoRR abs/2106.02324 (2021) - [i34]Ziyuan Huang, Zhiwu Qing, Xiang Wang, Yutong Feng, Shiwei Zhang, Jianwen Jiang, Zhurong Xia, Mingqian Tang, Nong Sang, Marcelo H. Ang Jr.:
Towards Training Stronger Video Vision Transformers for EPIC-KITCHENS-100 Action Recognition. CoRR abs/2106.05058 (2021) - [i33]Zhiwu Qing, Ziyuan Huang, Xiang Wang, Yutong Feng, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Changxin Gao, Marcelo H. Ang Jr., Nong Sang:
A Stronger Baseline for Ego-Centric Action Detection. CoRR abs/2106.06942 (2021) - [i32]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Zhengrong Zuo, Changxin Gao, Nong Sang:
OadTR: Online Action Detection with Transformers. CoRR abs/2106.11149 (2021) - [i31]Xiang Wang, Zhiwu Qing, Ziyuan Huang, Yutong Feng, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Yuanjie Shao, Nong Sang:
Weakly-Supervised Temporal Action Localization Through Local-Global Background Modeling. CoRR abs/2106.11811 (2021) - [i30]Xiang Wang, Zhiwu Qing, Ziyuan Huang, Yutong Feng, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Changxin Gao, Nong Sang:
Proposal Relation Network for Temporal Action Detection. CoRR abs/2106.11812 (2021) - [i29]Zhiwu Qing, Xiang Wang, Ziyuan Huang, Yutong Feng, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Changxin Gao, Nong Sang:
Exploring Stronger Feature for Temporal Action Localization. CoRR abs/2106.13014 (2021) - [i28]Zhiwu Qing, Ziyuan Huang, Shiwei Zhang, Mingqian Tang, Changxin Gao, Marcelo H. Ang Jr., Rong Jin, Nong Sang:
ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning. CoRR abs/2108.10501 (2021) - [i27]Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang:
Weakly Supervised Person Search with Region Siamese Networks. CoRR abs/2109.06109 (2021) - [i26]Changqian Yu, Yuanjie Shao, Changxin Gao, Nong Sang:
CondNet: Conditional Classifier for Scene Segmentation. CoRR abs/2109.10322 (2021) - [i25]Rui Wang, Jian Chen, Gang Yu, Li Sun, Changqian Yu, Changxin Gao, Nong Sang:
Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation. CoRR abs/2111.13010 (2021) - [i24]Feng Zhang, Yuanjie Shao, Yishi Sun, Kai Zhu, Changxin Gao, Nong Sang:
Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior. CoRR abs/2112.01766 (2021) - [i23]Moran Li, Haibin Huang, Yi Zheng, Mengtian Li, Nong Sang, Chongyang Ma:
Implicit Neural Deformation for Multi-View Face Reconstruction. CoRR abs/2112.02494 (2021) - [i22]Zongheng Huang, Yifan Sun, Chuchu Han, Changxin Gao, Nong Sang:
Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image Retrieval. CoRR abs/2112.07966 (2021) - [i21]Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang:
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID. CoRR abs/2112.11689 (2021) - 2020
- [j77]Kezhou Chen, Yang Chen, Chuchu Han, Nong Sang, Changxin Gao:
Hard sample mining makes person re-identification more efficient and accurate. Neurocomputing 382: 259-267 (2020) - [j76]Xinya Chen, Yanrui Bin, Changxin Gao, Nong Sang, Hao Tang:
Relevant region prediction for crowd counting. Neurocomputing 407: 399-408 (2020) - [j75]Zhixiong Pi, Huai Qin, Changxin Gao, Nong Sang:
Jointly detecting and multiple people tracking by semantic and scene information. Neurocomputing 412: 244-251 (2020) - [j74]Changxin Gao, Yang Chen, Jin-Gang Yu, Nong Sang:
Pose-guided spatiotemporal alignment for video-based person Re-identification. Inf. Sci. 527: 176-190 (2020) - [j73]Juncai Peng, Yuanjie Shao, Nong Sang, Changxin Gao:
Joint image deblurring and matching with feature-based sparse representation prior. Pattern Recognit. 103: 107300 (2020) - [j72]Yanrui Bin, Zhao-Min Chen, Xiu-Shen Wei, Xinya Chen, Changxin Gao, Nong Sang:
Structure-aware human pose estimation with graph convolutional networks. Pattern Recognit. 106: 107410 (2020) - [j71]Yuanjie Shao, Nong Sang, Yacheng Li, Wenhao Li, Changxin Gao:
Joint image restoration and matching method based on distance-weighted sparse representation prior. Pattern Recognit. Lett. 135: 160-166 (2020) - [j70]Chuchu Han, Ruochen Zheng, Changxin Gao, Nong Sang:
Complementation-Reinforced Attention Network for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3433-3445 (2020) - [j69]Zhenghua Huang, Yaozong Zhang, Qian Li, Xuan Li, Tianxu Zhang, Nong Sang, Hanyu Hong:
Joint Analysis and Weighted Synthesis Sparsity Priors for Simultaneous Denoising and Destriping Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 58(10): 6958-6982 (2020) - [j68]Qiling Tang, Nong Sang, Haihua Liu:
Learning Nonclassical Receptive Field Modulation for Contour Detection. IEEE Trans. Image Process. 29: 1192-1203 (2020) - [j67]Lerenhan Li, Yunlong Dong, Wenqi Ren, Jinshan Pan, Changxin Gao, Nong Sang, Ming-Hsuan Yang:
Semi-Supervised Image Dehazing. IEEE Trans. Image Process. 29: 2766-2779 (2020) - [j66]Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang:
Dynamic Scene Deblurring by Depth Guided Model. IEEE Trans. Image Process. 29: 5273-5288 (2020) - [j65]Shiwei Zhang, Lin Song, Changxin Gao, Nong Sang:
GLNet: Global Local Network for Weakly Supervised Action Localization. IEEE Trans. Multim. 22(10): 2610-2622 (2020) - [c98]Shizhen Zhao, Changxin Gao, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang:
GTNet: Generative Transfer Network for Zero-Shot Object Detection. AAAI 2020: 12967-12974 - [c97]Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang:
Domain Adaptation for Image Dehazing. CVPR 2020: 2805-2814 - [c96]Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang:
Context Prior for Scene Segmentation. CVPR 2020: 12413-12422 - [c95]Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang:
Representative Graph Neural Network. ECCV (7) 2020: 379-396 - [c94]Yanrui Bin, Xuan Cao, Xinya Chen, Yanhao Ge, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Changxin Gao, Nong Sang:
Adversarial Semantic Data Augmentation for Human Pose Estimation. ECCV (19) 2020: 606-622 - [c93]Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun:
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians. ECCV (6) 2020: 647-663 - [c92]Chuchu Han, Changxin Gao, Nong Sang:
Keypoint-Based Feature Matching For Partial Person Re-Identification. ICIP 2020: 226-230 - [c91]Xiang Wang, Changxin Gao, Shiwei Zhang, Nong Sang:
Multi-level Temporal Pyramid Network for Action Detection. PRCV (2) 2020: 41-54 - [c90]Wenhao Li, Nong Sang:
End-to-End Blurry Template Matching Method Based on Siamese Networks. PRCV (3) 2020: 222-233 - [i20]Shizhen Zhao, Changxin Gao, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang:
GTNet: Generative Transfer Network for Zero-Shot Object Detection. CoRR abs/2001.06812 (2020) - [i19]Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang:
Context Prior for Scene Segmentation. CoRR abs/2004.01547 (2020) - [i18]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) - [i17]Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang:
Domain Adaptation for Image Dehazing. CoRR abs/2005.04668 (2020) - [i16]Xinya Chen, Yanrui Bin, Changxin Gao, Nong Sang, Hao Tang:
Relevant Region Prediction for Crowd Counting. CoRR abs/2005.09816 (2020) - [i15]Zhiwu Qing, Xiang Wang, Yongpeng Sang, Changxin Gao, Shiwei Zhang, Nong Sang:
Temporal Fusion Network for Temporal Action Localization: Submission to ActivityNet Challenge 2020 (Task E). CoRR abs/2006.07520 (2020) - [i14]Xiang Wang, Baiteng Ma, Zhiwu Qing, Yongpeng Sang, Changxin Gao, Shiwei Zhang, Nong Sang:
CBR-Net: Cascade Boundary Refinement Network for Action Detection: Submission to ActivityNet Challenge 2020 (Task 1). CoRR abs/2006.07526 (2020) - [i13]Yanrui Bin, Xuan Cao, Xinya Chen, Yanhao Ge, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Changxin Gao, Nong Sang:
Adversarial Semantic Data Augmentation for Human Pose Estimation. CoRR abs/2008.00697 (2020) - [i12]Xiang Wang, Changxin Gao, Shiwei Zhang, Nong Sang:
Multi-Level Temporal Pyramid Network for Action Detection. CoRR abs/2008.03270 (2020) - [i11]Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang:
Representative Graph Neural Network. CoRR abs/2008.05202 (2020) - [i10]Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun:
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians. CoRR abs/2008.06963 (2020) - [i9]Moran Li, Yuan Gao, Nong Sang:
Exploiting Learnable Joint Groups for Hand Pose Estimation. CoRR abs/2012.09496 (2020)
2010 – 2019
- 2019
- [j64]Yuanjie Shao, Nong Sang, Juncai Peng, Changxin Gao:
Joint Image Deblurring and Matching with Blurred Invariant-Based Sparse Representation Prior. Complex. 2019: 3829263:1-3829263:12 (2019) - [j63]Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang:
Blind Image Deblurring via Deep Discriminative Priors. Int. J. Comput. Vis. 127(8): 1025-1043 (2019) - [j62]Nong Sang, Haitao Gan, Yingle Fan, Wei Wu, Zhi Yang:
Adaptive safety degree-based safe semi-supervised learning. Int. J. Mach. Learn. Cybern. 10(5): 1101-1108 (2019) - [j61]Lerenhan Li, Nong Sang, Luxin Yan, Changxin Gao:
Motion-blur kernel size estimation via learning a convolutional neural network. Pattern Recognit. Lett. 119: 86-93 (2019) - [j60]Changxin Gao, Jin Wang, Leyuan Liu, Jin-Gang Yu, Nong Sang:
Superpixel-Based Temporally Aligned Representation for Video-Based Person Re-Identification. Sensors 19(18): 3861 (2019) - [c89]Tianxu Zhang, Qiang Liu, Xinyu Zhang, Zhenghua Huang, Jiaojiao Zong, Nong Sang:
Cardiovascular Tree Recognition and its Three-Dimensional Reconstruction from Monoplane X-Ray Angiography Based on Spatio-Temporal Constraints. CISP-BMEI 2019: 1-6 - [c88]Ruochen Zheng, Lerenhan Li, Chuchu Han, Changxin Gao, Nong Sang:
Camera Style and Identity Disentangling Network for Person Re-identification. BMVC 2019: 66 - [c87]Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang:
Re-ID Driven Localization Refinement for Person Search. ICCV 2019: 9813-9822 - [c86]Juncai Peng, Nong Sang, Changxin Gao, Lerenhan Li:
Blurred Template Matching Based on Cascaded Network. ICIG (1) 2019: 480-492 - [c85]Liyou Wu, Nong Sang, Junyan Yang, Lihong Jing, Changxin Gao, Lerenhan Li:
Densenet-Based Multi-scale Recurrent Network for Video Restoration with Gaussian Blur. ICIG (1) 2019: 582-594 - [c84]Jinghao Luo, Yaohua Liu, Changxin Gao, Nong Sang:
Learning What and Where from Attributes to Improve Person Re-Identification. ICIP 2019: 165-169 - [c83]Wenhao Li, Nong Sang, Changxin Gao, Yuanjie Shao:
Joint Image Restoration and Matching Based on Hierarchical Sparse Representation. ICIP 2019: 4494-4498 - [c82]Beibei Yang, Changqian Yu, Jiahui Liu, Changxin Gao, Nong Sang:
Graph-Based Scale-Aware Network for Human Parsing. PRCV (2) 2019: 279-290 - [c81]Jiahui Lei, Chongjun Gao, Jing Hu, Changxin Gao, Nong Sang:
Orientation Adaptive YOLOv3 for Object Detection in Remote Sensing Images. PRCV (1) 2019: 586-597 - [c80]Xinya Chen, Yanrui Bin, Nong Sang, Changxin Gao:
Scale Pyramid Network for Crowd Counting. WACV 2019: 1941-1950 - [i8]Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang:
Re-ID Driven Localization Refinement for Person Search. CoRR abs/1909.08580 (2019) - 2018
- [j59]Kaibo Yao, Nong Sang, Changxin Gao:
A Cuboid Bi-Level Log Operator for Action Classification. IEEE Access 6: 54147-54157 (2018) - [j58]Zhenghua Huang, Yaozong Zhang, Qian Li, Tianxu Zhang, Nong Sang:
Spatially adaptive denoising for X-ray cardiovascular angiogram images. Biomed. Signal Process. Control. 40: 131-139 (2018) - [j57]Zhenghua Huang, Qian Li, Tianxu Zhang, Nong Sang, Hanyu Hong:
Iterative weighted sparse representation for X-ray cardiovascular angiogram image denoising over learned dictionary. IET Image Process. 12(2): 254-261 (2018) - [j56]Zhenghua Huang, Likun Huang, Qian Li, Tianxu Zhang, Nong Sang:
Framelet regularization for uneven intensity correction of color images with illumination and reflectance estimation. Neurocomputing 314: 154-168 (2018) - [j55]Zhenghua Huang, Yaozong Zhang, Qian Li, Tianxu Zhang, Nong Sang, Hanyu Hong:
Progressive Dual-Domain Filter for Enhancing and Denoising Optical Remote-Sensing Images. IEEE Geosci. Remote. Sens. Lett. 15(5): 759-763 (2018) - [j54]Jin Wang, Zheng Wang, Chao Liang, Changxin Gao, Nong Sang:
Equidistance constrained metric learning for person re-identification. Pattern Recognit. 74: 38-51 (2018) - [j53]Yuanjie Shao, Nong Sang, Changxin Gao, Li Ma:
Spatial and class structure regularized sparse representation graph for semi-supervised hyperspectral image classification. Pattern Recognit. 81: 81-94 (2018) - [j52]Yuanjie Shao, Nong Sang, Changxin Gao:
Representation Space-Based Discriminative Graph Construction for Semisupervised Hyperspectral Image Classification. IEEE Signal Process. Lett. 25(1): 35-39 (2018) - [j51]Shiwei Zhang, Changxin Gao, Jing Zhang, Feifei Chen, Nong Sang:
Discriminative Part Selection for Human Action Recognition. IEEE Trans. Multim. 20(4): 769-780 (2018) - [c79]Jun Xiang, Guoshuai Zhang, Nong Sang, Rui Huang, Jianhua Hou:
Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly. BMVC 2018: 139 - [c78]Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang:
Learning a Discriminative Feature Network for Semantic Segmentation. CVPR 2018: 1857-1866 - [c77]Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang:
Learning a Discriminative Prior for Blind Image Deblurring. CVPR 2018: 6616-6625 - [c76]Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang:
BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation. ECCV (13) 2018: 334-349 - [c75]Jia Chen, Zihan Ni, Nong Sang:
Multi-Scale YOLOv2 for Hand Detection in Complex Scenes. ICARCV 2018: 1525-1530 - [c74]Kezhou Chen, Yang Chen, Chuchu Han, Nong Sang, Changxin Gao, Ruolin Wang:
Improving Person Re-Identification by Adaptive Hard Sample Mining. ICIP 2018: 1638-1642 - [c73]Huai Qin, Zhixiong Pi, Changqian Yu, Changxin Gao, Jin-Gang Yu, Nong Sang:
Spatially Attentive Correlation Filters for Visual Tracking. ICIP 2018: 2695-2699 - [c72]Zihan Ni, Jia Chen, Nong Sang, Changxin Gao, Leyuan Liu:
Light YOLO for High-Speed Gesture Recognition. ICIP 2018: 3099-3103 - [c71]Yuanjie Shao, Nong Sang, Changxin Gao, Wei Lin:
Joint Image Restoration and Matching Based on Distance-Weighted Sparse Representation. ICPR 2018: 2498-2503 - [c70]Chuchu Han, Kezhou Chen, Jin Wang, Changxin Gao, Nong Sang:
Re-ranking Person Re-identification with Adaptive Hard Sample Mining. PRCV (1) 2018: 3-14 - [c69]Zhiqiang Li, Nong Sang, Kezhou Chen, Chuchu Han, Changxin Gao:
Global Feature Learning with Human Body Region Guided for Person Re-identification. PRCV (1) 2018: 15-25 - [c68]Ruochen Zheng, Yang Chen, Changqian Yu, Chuchu Han, Changxin Gao, Nong Sang:
Center-Level Verification Model for Person Re-identification. PRCV (1) 2018: 98-107 - [e1]Nong Sang, Jie Ma, Zhong Chen:
MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), Xiangyang, China, 28-29 October 2017. SPIE Proceedings 10611, SPIE 2018, ISBN 9781510617254 [contents] - [i7]Jun Xiang, Guoshuai Zhang, Jianhua Hou, Nong Sang, Rui Huang:
Multiple Target Tracking by Learning Feature Representation and Distance Metric Jointly. CoRR abs/1802.03252 (2018) - [i6]Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang:
Learning a Discriminative Prior for Blind Image Deblurring. CoRR abs/1803.03363 (2018) - [i5]Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang:
Learning a Discriminative Feature Network for Semantic Segmentation. CoRR abs/1804.09337 (2018) - [i4]Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang:
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation. CoRR abs/1808.00897 (2018) - 2017
- [j50]Tianxu Zhang, Zhenghua Huang, Yining Huang, Guozhu Wang, Xiangping Sun, Nong Sang, Wufan Chen:
A novel structural features-based approach to automatically extract multiple motion parameters from single-arm X-ray angiography. Biomed. Signal Process. Control. 32: 29-43 (2017) - [j49]Yi He, Changxin Gao, Nong Sang, Zhiguo Qu, Jun Han:
Graph coloring based surveillance video synopsis. Neurocomputing 225: 64-79 (2017) - [j48]Yuanjie Shao, Changxin Gao, Nong Sang:
A discriminant sparse representation graph-based semi-supervised learning for hyperspectral image classification. Multim. Tools Appl. 76(8): 10959-10971 (2017) - [j47]Yuanjie Shao, Nong Sang, Changxin Gao, Li Ma:
Probabilistic class structure regularized sparse representation graph for semi-supervised hyperspectral image classification. Pattern Recognit. 63: 102-114 (2017) - [j46]Guowan Shao, Nong Sang:
Regularized max-min linear discriminant analysis. Pattern Recognit. 66: 353-363 (2017) - [j45]Zhenghua Huang, Qian Li, Hao Fang, Tianxu Zhang, Nong Sang:
Iterative weighted nuclear norm for X-ray cardiovascular angiogram image denoising. Signal Image Video Process. 11(8): 1445-1452 (2017) - [j44]Leyuan Liu, Jingying Chen, Changxin Gao, Nong Sang:
A low-cost real-time face tracking system for ITSs and SDASs. Softw. Pract. Exp. 47(8): 1111-1126 (2017) - [j43]Yi He, Zhiguo Qu, Changxin Gao, Nong Sang:
Fast Online Video Synopsis Based on Potential Collision Graph. IEEE Signal Process. Lett. 24(1): 22-26 (2017) - [j42]Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang:
Robust Visual Tracking Using Exemplar-Based Detectors. IEEE Trans. Circuits Syst. Video Technol. 27(2): 300-312 (2017) - [j41]Jin Wang, Zheng Wang, Changxin Gao, Nong Sang, Rui Huang:
DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification. IEEE Trans. Circuits Syst. Video Technol. 27(3): 513-524 (2017) - [j40]Shiwei Zhang, Changxin Gao, Feifei Chen, Sihui Luo, Nong Sang:
Group Sparse-Based Mid-Level Representation for Action Recognition. IEEE Trans. Syst. Man Cybern. Syst. 47(4): 660-672 (2017) - [c67]Kezhou Chen, Nong Sang, Zhiqiang Li, Changxin Gao, Ruolin Wang:
Re-ranking Person Re-identification with Local Discriminative Information. ACPR 2017: 1-6 - [c66]Chao Cui, Nong Sang, Changxin Gao, Lei Zou:
Vehicle re-identification by fusing multiple deep neural networks. IPTA 2017: 1-6 - 2016
- [j39]Jing Li, Nong Sang, Changxin Gao:
Face recognition with Riesz binary pattern. Digit. Signal Process. 51: 196-201 (2016) - [j38]Haitao Gan, Zhizeng Luo, Yao Sun, Xugang Xi, Nong Sang, Rui Huang:
Towards designing risk-based safe Laplacian Regularized Least Squares. Expert Syst. Appl. 45: 1-7 (2016) - [j37]Jing Li, Nong Sang, Changxin Gao:
Completed local similarity pattern for color image recognition. Neurocomputing 182: 111-117 (2016) - [j36]Xiaoqin Kuang, Nong Sang, Changxin Gao:
Object localization with mid-level part detectors. Neurocomputing 212: 58-64 (2016) - [j35]Changxin Gao, Nong Sang, Rui Huang:
Spatial multi-scale gradient orientation consistency for place instance and Scene category recognition. Inf. Sci. 372: 84-97 (2016) - [j34]Qiling Tang, Nong Sang, Haihua Liu:
Contrast-dependent surround suppression models for contour detection. Pattern Recognit. 60: 51-61 (2016) - [j33]Changxin Gao, Huizhang Shi, Jin-Gang Yu, Nong Sang:
Enhancement of ELDA Tracker Based on CNN Features and Adaptive Model Update. Sensors 16(4): 545 (2016) - [j32]Jing Li, Nong Sang, Changxin Gao:
LEDTD: Local edge direction and texture descriptor for face recognition. Signal Process. Image Commun. 41: 40-45 (2016) - [j31]Jin Wang, Nong Sang, Zheng Wang, Changxin Gao:
Similarity Learning with Top-heavy Ranking Loss for Person Re-identification. IEEE Signal Process. Lett. 23(1): 84-88 (2016) - [j30]Jun Xiang, Nong Sang, Jianhua Hou, Rui Huang, Changxin Gao:
Hough Forest-based Association Framework with Occlusion Handling for Multi-Target Tracking. IEEE Signal Process. Lett. 23(2): 257-261 (2016) - [j29]Chang Han, Hongyan Zhang, Changxin Gao, Cheng Jiang, Nong Sang, Liangpei Zhang:
A Remote Sensing Image Fusion Method Based on the Analysis Sparse Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(1): 439-453 (2016) - [j28]Jun Xiang, Nong Sang, Jianhua Hou, Rui Huang, Changxin Gao:
Multitarget Tracking Using Hough Forest Random Field. IEEE Trans. Circuits Syst. Video Technol. 26(11): 2028-2042 (2016) - [c65]Jing Li, Nong Sang, Changxin Gao:
Local Fractional Order Derivative Vector Quantization Pattern for Face Recognition. ACCV (3) 2016: 234-247 - [c64]Jun Xiang, Jianhua Hou, Changxin Gao, Nong Sang:
Data Association Based Multi-target Tracking Using a Joint Formulation. ACCV (4) 2016: 240-255 - [c63]Simin Li, Zihan Ni, Nong Sang:
Multiple-Classifiers Based Hand Gesture Recognition. CCPR (1) 2016: 155-163 - [c62]Changxin Gao, Jin Wang, Leyuan Liu, Jin-Gang Yu, Nong Sang:
Temporally aligned pooling representation for video-based person re-identification. ICIP 2016: 4284-4288 - [c61]Chang Han, Nong Sang, Changxin Gao:
A hyperspectral image restoration method based on analysis sparse filter. ICPR 2016: 769-774 - [c60]Jin Wang, Junkang Zhu, Zheng Wang, Changxin Gao, Nong Sang, Rui Huang:
Contextual Similarity Regularized Metric Learning for person re-identification. ICPR 2016: 2048-2053 - [c59]Kaizhi Wu, Xi Chen, Mingyue Ding, Nong Sang:
Respiration correction by clustering in ultrasound images. Image Processing 2016: 97843X - [i3]Cong Yao, Xiang Bai, Nong Sang, Xinyu Zhou, Shuchang Zhou, Zhimin Cao:
Scene Text Detection via Holistic, Multi-Channel Prediction. CoRR abs/1606.09002 (2016) - [i2]Dapeng Luo, Zhipeng Zeng, Longsheng Wei, Yongwen Liu, Chen Luo, Jun Chen, Nong Sang:
Autonomous Learning Framework Based on Online Hybrid Classifier for Multi-view Object Detection in Video. CoRR abs/1611.03968 (2016) - 2015
- [j27]Jun Lu, Nong Sang:
Detecting citrus fruits and occlusion recovery under natural illumination conditions. Comput. Electron. Agric. 110: 121-130 (2015) - [j26]Yan Ouyang, Nong Sang, Rui Huang:
Accurate and robust facial expressions recognition by fusing multiple sparse representation based classifiers. Neurocomputing 149: 71-78 (2015) - [j25]Runmin Wang, Nong Sang, Changxin Gao:
Text detection approach based on confidence map and context information. Neurocomputing 157: 153-165 (2015) - [j24]Jing Li, Nong Sang, Changxin Gao:
Log-Gabor Weber descriptor for face recognition. J. Electronic Imaging 24(5): 053014 (2015) - [j23]Ruhan He, Bing Yang, Nong Sang, Yongsheng Yu, Geli Bai, Jizi Li:
Integral region-based covariance tracking with occlusion detection. Multim. Tools Appl. 74(6): 2157-2178 (2015) - [j22]Runmin Wang, Nong Sang, Changxin Gao:
Scene Text Identification by Leveraging Mid-level Patches and Context Information. IEEE Signal Process. Lett. 22(7): 963-967 (2015) - [c58]Jin Wang, Changxin Gao, Jing Hu, Nong Sang:
DeNet: An explicit distance ensemble model for person re-identification. ACPR 2015: 21-25 - [c57]Lerenhan Li, Luxin Yan, Nong Sang, Changxin Gao, Jing Hu:
Aero-thermal radiation correction via multi-scale bias field estimation. ACPR 2015: 246-250 - [c56]Shiwei Zhang, Nong Sang, Changxin Gao, Feifei Chen, Jing Hu:
Mid-level parts mined by feature selection for action recognition. ACPR 2015: 619-623 - [c55]Yuanjie Shao, Changxin Gao, Nong Sang:
A Discriminant Sparse Representation Graph-Based Semi-Supervised Learning for Hyperspectral Image Classification. CCCV (1) 2015: 160-167 - [c54]Xiaoqin Kuang, Nong Sang, Feifei Chen, Changxin Gao, Runmin Wang:
Mixture Models for Object Detection. CCCV (1) 2015: 317-324 - 2014
- [j21]Shan Zeng, Xiaojun Tong, Nong Sang:
Study on multi-center fuzzy C-means algorithm based on transitive closure and spectral clustering. Appl. Soft Comput. 16: 89-101 (2014) - [j20]Zhigang Zhou, Nong Sang, Xinrong Hu:
A parallel nonlinear adaptive enhancement algorithm for low- or high-intensity color images. EURASIP J. Adv. Signal Process. 2014: 70 (2014) - [j19]Guowan Shao, Nong Sang:
Max-min distance analysis by making a uniform distribution of class centers for dimensionality reduction. Neurocomputing 143: 208-221 (2014) - [j18]Shan Zeng, Rui Huang, Zhen Kang, Nong Sang:
Image segmentation using spectral clustering of Gaussian mixture models. Neurocomputing 144: 346-356 (2014) - [c53]Jing Li, Nong Sang, Changxin Gao:
Log-Gabor Weber Descriptor for Face Recognition. ACCV Workshops (1) 2014: 541-553 - [c52]Jiang Jiang, Xi Chen, Haitao Gan, Nong Sang:
Sparsity Based Feature Extraction for Kernel Minimum Squared Error. CCPR (1) 2014: 273-282 - [c51]Xiaoqin Kuang, Nong Sang, Feifei Chen, Runmin Wang, Changxin Gao:
Hough Voting with Distinctive Mid-Level Parts for Object Detection. CCPR (1) 2014: 305-313 - [c50]Runmin Wang, Nong Sang, Changxin Gao, Xiaoqin Kuang, Jun Xiang:
Text Detection in Natural Scene Images Leveraging Context Information. CCPR (2) 2014: 444-454 - [c49]Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang:
Exemplar-based linear discriminant analysis for robust object tracking. ICIP 2014: 388-392 - [c48]Feifei Chen, Nong Sang, Changxin Gao, Xiaoqin Kuang:
Discovering distinctive action parts for action recognition. ICIP 2014: 1520-1524 - [c47]Jun Xiang, Nong Sang, Jianhua Hou:
An online learned hough forest model for multi-target tracking. ICIP 2014: 2398-2402 - [c46]Hongzhi Wang, Nong Sang, Yi Yan:
Real-Time Tracking Combined with Object Segmentation. ICPR 2014: 4098-4103 - [i1]Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang:
Exemplar-based Linear Discriminant Analysis for Robust Object Tracking. CoRR abs/1402.5697 (2014) - 2013
- [j17]Haitao Gan, Nong Sang, Rui Huang, Xiaojun Tong, Zhiping Dan:
Using clustering analysis to improve semi-supervised classification. Neurocomputing 101: 290-298 (2013) - [j16]Yan Ouyang, Nong Sang:
Robust Automatic Facial Expression Detection Method. J. Softw. 8(7): 1759-1764 (2013) - [j15]Shan Zeng, Xiaojun Tong, Nong Sang, Rui Huang:
A study on semi-supervised FCM algorithm. Knowl. Inf. Syst. 35(3): 585-612 (2013) - [j14]Yonggang He, Nong Sang:
Multi-ring local binary patterns for rotation invariant texture classification. Neural Comput. Appl. 22(3-4): 793-802 (2013) - [j13]Yonggang He, Nong Sang, Changxin Gao:
Multi-structure local binary patterns for texture classification. Pattern Anal. Appl. 16(4): 595-607 (2013) - [c45]Haitao Gan, Nong Sang, Rui Huang, Xi Chen:
Manifold Regularized Gaussian Mixture Model for Semi-supervised Clustering. ACPR 2013: 361-365 - [c44]Zhiping Dan, Nong Sang, Yanfei Chen, Xi Chen:
Remote Sensing object recognition based on transfer learning. FSKD 2013: 930-934 - [c43]Xi Chen, Nong Sang, Haitao Gan, Zhiping Dan, Yanfei Chen, Hexing Ren:
Medical Ultrasonography Denoising Using Sparse Coding Shrinkage. ICIG 2013: 68-72 - [c42]Runmin Wang, Nong Sang, Ruolin Wang, Xiaoqin Kuang:
Novel License Plate Detection Method for Complex Scenes. ICIG 2013: 318-322 - [c41]Zhiping Dan, Nong Sang, Ruolin Wang, Yanfei Chen, Xi Chen:
A Transductive Transfer Learning Method for Ship Target Recognition. ICIG 2013: 418-422 - [c40]Haitao Gan, Nong Sang, Xi Chen, Zhiping Dan, Hexing Ren:
An Improved Self-Training for Face Recognition. ICIG 2013: 489-492 - [c39]Jiang Jiang, Liangwei Jiang, Nong Sang:
Spatial-Temporal Sparse Representation for Background Modeling. ICIG 2013: 656-660 - [c38]Qiling Tang, Nong Sang, Haihua Liu:
Learning to detect contours in natural images via biologically motivated schemes. ICIP 2013: 123-126 - [c37]Haitao Gan, Nong Sang, Xi Chen:
Semi-supervised Kernel Minimum Squared Error Based on Manifold Structure. ISNN (1) 2013: 265-272 - [c36]Yan Ouyang, Nong Sang:
A Facial Expression Recognition Method by Fusing Multiple Sparse Representation Based Classifiers. ISNN (1) 2013: 479-488 - 2012
- [j12]Longsheng Wei, Nong Sang, Yuehuan Wang, Qingqing Zheng:
A dynamic saliency attention model based on local complexity. Digit. Signal Process. 22(5): 760-767 (2012) - [c35]Fan Ma, Nong Sang:
Background Subtraction Based on Multi-channel SILTP. ACCV Workshops (1) 2012: 73-84 - [c34]Leyuan Liu, Nong Sang, Saiyong Yang:
A low-cost hand gesture human-computer interaction system. ICCE 2012: 299-300 - [c33]Guowan Shao, Nong Sang:
Fractional-step max-min distance analysis for dimension reduction. ICPR 2012: 396-400 - [c32]Changxin Gao, Nong Sang, Rui Huang:
Online Transfer Boosting for object tracking. ICPR 2012: 906-909 - [c31]Shuhang Gu, Nong Sang, Fan Ma:
Fast image super resolution via local regression. ICPR 2012: 3128-3131 - 2011
- [j11]Rui Huang, Nong Sang, Dapeng Luo, Qiling Tang:
Image segmentation via coherent clustering in L*a*b* color space. Pattern Recognit. Lett. 32(7): 891-902 (2011) - [j10]Leyuan Liu, Nong Sang, Saiyong Yang, Rui Huang:
Real-time skin color detection under rapidly changing illumination conditions. IEEE Trans. Consumer Electron. 57(3): 1295-1302 (2011) - [c30]Changxin Gao, Nong Sang:
Biologically inspired template matching using scene context. CVPR Workshops 2011: 48-55 - [c29]Leyuan Liu, Nong Sang:
Metrics for Objective Evaluation of Background Subtraction Algorithms. ICIG 2011: 562-565 - [c28]Rui Huang, Nong Sang, Vladimir Pavlovic, Dimitris N. Metaxas:
A Belief Propagation algorithm for bias field estimation and image segmentation. ICIP 2011: 37-40 - [c27]Yonggang He, Nong Sang, Rui Huang:
Local Binary Pattern histogram based Texton learning for texture classification. ICIP 2011: 841-844 - 2010
- [j9]Longsheng Wei, Nong Sang, Yuehuan Wang:
A biologically inspired object-based visual attention model. Artif. Intell. Rev. 34(2): 109-119 (2010) - [j8]Changxin Gao, Nong Sang, Qiling Tang:
On selection and combination of weak learners in AdaBoost. Pattern Recognit. Lett. 31(9): 991-1001 (2010) - [c26]Yonggang He, Nong Sang, Changxin Gao:
Pyramid-Based Multi-structure Local Binary Pattern for Texture Classification. ACCV (3) 2010: 133-144 - [c25]Rui Huang, Nong Sang, Leyuan Liu, Qiling Tang:
Saliency Based on Multi-scale Ratio of Dissimilarity. ICPR 2010: 13-16 - [c24]Feng Min, Nong Sang, Zhefu Wang:
Automatic Face Replacement in Video Based on 2D Morphable Model. ICPR 2010: 2250-2253 - [c23]Nong Sang, Longsheng Wei, Yuehuan Wang:
A Biologically-Inspired Top-Down Learning Model Based on Visual Attention. ICPR 2010: 3736-3739 - [c22]Bin Sun, Nong Sang, Yuehuan Wang, Qingqing Zheng:
Motion Detection Based on Biological Correlation Model. ISNN (2) 2010: 214-221 - [c21]Rui Huang, Nong Sang, Dapeng Luo, Xiaojun Tong:
Enhancing low-contrast image by separately processing illuminance and reflectance. Visual Information Processing 2010: 77010 - [c20]Dapeng Luo, Nong Sang, Rui Huang, Xiaojun Tong:
A novel online learning method for head detection in video sequences. Visual Information Processing 2010: 77010 - [c19]Dapeng Luo, Nong Sang, Rui Huang, Xiaojun Tong:
Improve online boosting algorithm from self-learning cascade classifier. Visual Information Processing 2010: 77010
2000 – 2009
- 2009
- [j7]Guodong Wang, Nong Sang, Luxin Yan, Xubang Shen:
X-ray angiogram images enhancement by facet-based adaptive anisotropic diffusion. Comput. Medical Imaging Graph. 33(2): 140-147 (2009) - [c18]Bangyou Da, Nong Sang, Chi Li:
Face Recognition by Estimating Facial Distinctive Information Distribution. ACCV (3) 2009: 570-580 - [c17]Rui Huang, Nong Sang, Qiling Tang:
Segmentation via Incremental Transductive Learning. ICIG 2009: 213-216 - [c16]Ping Zheng, Nong Sang:
Feature Sharing Applied to Palmprint Identification. ICIG 2009: 282-287 - [c15]Han Lv, Liang Lin, Kun Zeng, Nong Sang:
Interactive rotoscoping: Extracting and tracking object sketch. ICIP 2009: 881-884 - [c14]Changxin Gao, Nong Sang, Qiling Tang, Ruolin Wang:
Improved AdaBoost Algorithm Combining Distance Related Criterion. IPCV 2009: 114-120 - 2008
- [c13]Rui Huang, Nong Sang, Qiling Tang:
Approximation of salient contours in cluttered scenes. ICPR 2008: 1-4 - [c12]Feng Min, Liang Lin, Nong Sang:
An empirical study of facial components classification by integrating dimensionality reduction and clustering. ICPR 2008: 1-4 - 2007
- [j6]Nong Sang, Heng Li, Weixue Peng, Tianxu Zhang:
Knowledge-based adaptive thresholding segmentation of digital subtraction angiography images. Image Vis. Comput. 25(8): 1263-1270 (2007) - [j5]Qiling Tang, Nong Sang, Tianxu Zhang:
Contour detection based on contextual influences. Image Vis. Comput. 25(8): 1282-1290 (2007) - [j4]Qiling Tang, Nong Sang, Tianxu Zhang:
Extraction of salient contours from cluttered scenes. Pattern Recognit. 40(11): 3100-3109 (2007) - [c11]Feng Min, Jin-Li Suo, Song Chun Zhu, Nong Sang:
An Automatic Portrait System Based on And-Or Graph Representation. EMMCVPR 2007: 184-197 - [c10]Shaowu Peng, Liang Lin, Jake Porway, Nong Sang, Song Chun Zhu:
Object Category Recognition Using Generative Template Boosting. EMMCVPR 2007: 198-212 - [c9]Ru-Xin Gao, Tianfu Wu, Song Chun Zhu, Nong Sang:
Bayesian Inference for Layer Representation with Mixed Markov Random Field. EMMCVPR 2007: 213-224 - [c8]Zheng Li, Haifeng Gong, Song Chun Zhu, Nong Sang:
Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis. EMMCVPR 2007: 350-361 - [c7]Kaiqiong Sun, Nong Sang, Tianxu Zhang:
Marked Point Process for Vascular Tree Extraction on Angiogram. EMMCVPR 2007: 467-478 - 2006
- [c6]Qiling Tang, Nong Sang, Tianxu Zhang:
Extraction of Salient Contours Via Excitatory-Inhibitory Interactions in the Visual Cortex. ACCV (2) 2006: 683-691 - [c5]Nong Sang, Weixue Peng, Heng Li, Zhen Zhang, Tianxu Zhang:
3D reconstruction of the coronary tree from two x-ray angiographic views. Image Processing 2006: 61444Y - 2005
- [c4]Qiling Tang, Nong Sang, Tianxu Zhang:
A Neural Network Model for Extraction of Salient Contours. ISNN (2) 2005: 316-320 - 2004
- [c3]Nong Sang, Qiling Tang, Xiaoxiao Liu, Wenjie Weng:
Multiscale Centerline Extraction of Angiogram Vessels Using Gabor Filters. CIS 2004: 570-575 - 2003
- [j3]Chengxin Yan, Nong Sang, Tianxu Zhang:
Local entropy-based transition region extraction and thresholding. Pattern Recognit. Lett. 24(16): 2935-2941 (2003) - 2001
- [j2]Nong Sang, Tianxu Zhang:
Segmentation of FLIR images by Hopfield neural network with edge constraint. Pattern Recognit. 34(4): 811-821 (2001)
1990 – 1999
- 1998
- [c2]Nong Sang, Sheng Zhong, Tianxu Zhang:
Robust point pattern relaxation matching with missing or spurious points and random errors. Visual Information Processing 1998: 239-251 - 1997
- [c1]Nong Sang, Tianxu Zhang:
Point pattern relaxation matching: invariant to rotations and scale changes. Visual Information Processing 1997: 180-189 - 1996
- [j1]Tianxu Zhang, Nong Sang, Guoyou Wang, Xiaowen Li:
An effective method for identifying small objects on a complicated background. Artif. Intell. Eng. 10(4): 343-349 (1996)
Coauthor Index
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