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2020 – today
- 2024
[j18]Bruce X. B. Yu
, Jianlong Chang, Haixin Wang, Lingbo Liu, Shijie Wang, Zhiyu Wang, Junfan Lin, Lingxi Xie, Haojie Li, Zhouchen Lin, Qi Tian, Chang Wen Chen:
Visual Tuning. ACM Comput. Surv. 56(12): 297:1-297:38 (2024)- [j17]Shijie Wang, Zhihui Wang, Haojie Li, Jianlong Chang, Wanli Ouyang, Qi Tian:
Accurate Fine-Grained Object Recognition with Structure-Driven Relation Graph Networks. Int. J. Comput. Vis. 132(1): 137-160 (2024) - [j16]Shijie Wang, Jianlong Chang, Zhihui Wang, Haojie Li, Wanli Ouyang, Qi Tian:
Content-Aware Rectified Activation for Zero-Shot Fine-Grained Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4366-4380 (2024) - [j15]Xing Nie, Bolin Ni, Jianlong Chang, Gaofeng Meng, Chunlei Huo, Shiming Xiang, Qi Tian:
Pro-Tuning: Unified Prompt Tuning for Vision Tasks. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4653-4667 (2024) - [j14]Duzhen Zhang, Feilong Chen, Jianlong Chang, Xiuyi Chen, Qi Tian:
Structure Aware Multi-Graph Network for Multi-Modal Emotion Recognition in Conversations. IEEE Trans. Multim. 26: 3987-3997 (2024) - [j13]Ran Ran, Liang-Jian Deng, Tian-Jing Zhang, Jianlong Chang, Xiao Wu, Qi Tian:
KNLConv: Kernel-Space Non-Local Convolution for Hyperspectral Image Super-Resolution. IEEE Trans. Multim. 26: 8836-8848 (2024) - [c20]Haixin Wang, Jianlong Chang, Yihang Zhai, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian:
LION: Implicit Vision Prompt Tuning. AAAI 2024: 5372-5380 - [i22]Qianru Zhang, Haixin Wang, Cheng Long, Liangcai Su, Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian, Christian S. Jensen:
A Survey of Generative Techniques for Spatial-Temporal Data Mining. CoRR abs/2405.09592 (2024) - 2023
- [j12]Shijie Wang, Zhihui Wang, Haojie Li, Jianlong Chang, Wanli Ouyang, Qi Tian:
Semantic-Guided Information Alignment Network for Fine-Grained Image Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6558-6570 (2023) - [c19]Shijie Wang, Jianlong Chang, Zhihui Wang, Haojie Li, Wanli Ouyang, Qi Tian:
Fine-Grained Retrieval Prompt Tuning. AAAI 2023: 2644-2652 - [c18]Chen Ju, Kunhao Zheng, Jinxiang Liu, Peisen Zhao, Ya Zhang, Jianlong Chang, Qi Tian, Yanfeng Wang:
Distilling Vision-Language Pre-Training to Collaborate with Weakly-Supervised Temporal Action Localization. CVPR 2023: 14751-14762 - [c17]Shijie Wang, Jianlong Chang, Haojie Li, Zhihui Wang, Wanli Ouyang, Qi Tian:
Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator. CVPR 2023: 19381-19391 - [c16]Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen:
Being Comes from Not-Being: Open-Vocabulary Text-to-Motion Generation with Wordless Training. CVPR 2023: 23222-23231 - [c15]Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, Qi Tian:
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model. NeurIPS 2023 - [c14]Shijie Wang, Jianlong Chang, Haojie Li, Zhihui Wang, Wanli Ouyang, Qi Tian:
Learning to Parameterize Visual Attributes for Open-set Fine-grained Retrieval. NeurIPS 2023 - [i21]Chen Ju, Haicheng Wang, Jinxiang Liu, Chaofan Ma, Ya Zhang, Peisen Zhao, Jianlong Chang, Qi Tian:
Constraint and Union for Partially-Supervised Temporal Sentence Grounding. CoRR abs/2302.09850 (2023) - [i20]Haixin Wang, Jianlong Chang, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian:
LION: Implicit Vision Prompt Tuning. CoRR abs/2303.09992 (2023) - [i19]Bruce X. B. Yu, Jianlong Chang, Haixin Wang, Lingbo Liu, Shijie Wang, Zhiyu Wang, Junfan Lin, Lingxi Xie, Haojie Li, Zhouchen Lin, Qi Tian, Chang Wen Chen:
Visual Tuning. CoRR abs/2305.06061 (2023) - [i18]Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, Qi Tian:
Mode Approximation Makes Good Multimodal Prompts. CoRR abs/2305.08381 (2023) - [i17]Lingxi Xie, Longhui Wei, Xiaopeng Zhang, Kaifeng Bi, Xiaotao Gu, Jianlong Chang, Qi Tian:
Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models. CoRR abs/2306.08641 (2023) - [i16]Yihang Zhai, Haixin Wang, Jianlong Chang, Xinlong Yang, Jinan Sun, Shikun Zhang, Qi Tian:
When Parameter-efficient Tuning Meets General-purpose Vision-language Models. CoRR abs/2312.12458 (2023) - 2022
- [j11]Lingxi Xie, Xin Chen, Kaifeng Bi, Longhui Wei, Yuhui Xu, Lanfei Wang, Zhengsu Chen, An Xiao, Jianlong Chang, Xiaopeng Zhang, Qi Tian:
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap. ACM Comput. Surv. 54(9): 183:1-183:37 (2022) - [j10]Song Chen, Jing-Hao Xue, Jianlong Chang, Jianzhong Zhang, Jufeng Yang, Qi Tian:
SSL++: Improving Self-Supervised Learning by Mitigating the Proxy Task-Specificity Problem. IEEE Trans. Image Process. 31: 1134-1148 (2022) - [j9]Shen Fang, Véronique Prinet, Jianlong Chang, Michael Werman, Chunxia Zhang, Shiming Xiang, Chunhong Pan:
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 23(7): 7142-7155 (2022) - [j8]Xiyan Liu, Gaofeng Meng, Jianlong Chang, Ruiguang Hu, Shiming Xiang, Chunhong Pan:
Decoupled Representation Learning for Character Glyph Synthesis. IEEE Trans. Multim. 24: 1787-1799 (2022) - [c13]Qi Chen, Yifei Wang, Yisen Wang, Jianlong Chang, Qi Tian, Jiansheng Yang, Zhouchen Lin:
Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium. IEEE Big Data 2022: 864-873 - [c12]Nuo Xu, Jianlong Chang, Xing Nie, Chunlei Huo, Shiming Xiang, Chunhong Pan:
AME: Attention and Memory Enhancement in Hyper-Parameter Optimization. CVPR 2022: 480-489 - [i15]Feilong Chen, Xiuyi Chen, Jiaxin Shi, Duzhen Zhang, Jianlong Chang, Qi Tian:
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval. CoRR abs/2205.12105 (2022) - [i14]Xing Nie, Bolin Ni, Jianlong Chang, Gaomeng Meng, Chunlei Huo, Zhaoxiang Zhang, Shiming Xiang, Qi Tian, Chunhong Pan:
Pro-tuning: Unified Prompt Tuning for Vision Tasks. CoRR abs/2207.14381 (2022) - [i13]Shijie Wang, Jianlong Chang, Zhihui Wang, Haojie Li, Wanli Ouyang, Qi Tian:
Fine-grained Retrieval Prompt Tuning. CoRR abs/2207.14465 (2022) - [i12]Lingbo Liu, Bruce X. B. Yu, Jianlong Chang, Qi Tian, Chang Wen Chen:
Prompt-Matched Semantic Segmentation. CoRR abs/2208.10159 (2022) - [i11]Bruce X. B. Yu, Jianlong Chang, Lingbo Liu, Qi Tian, Chang Wen Chen:
Towards a Unified View on Visual Parameter-Efficient Transfer Learning. CoRR abs/2210.00788 (2022) - [i10]Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen:
OhMG: Zero-shot Open-vocabulary Human Motion Generation. CoRR abs/2210.15929 (2022) - [i9]Chen Ju, Kunhao Zheng, Jinxiang Liu, Peisen Zhao, Ya Zhang, Jianlong Chang, Yanfeng Wang, Qi Tian:
Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization. CoRR abs/2212.09335 (2022) - 2021
- [j7]Xinbang Zhang, Jianlong Chang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Zhouchen Lin, Chunhong Pan:
DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2905-2920 (2021) - [j6]Xiaoping Wu, Jianlong Chang, Yu-Kun Lai, Jufeng Yang, Qi Tian:
BiSPL: Bidirectional Self-Paced Learning for Recognition From Web Data. IEEE Trans. Image Process. 30: 6512-6527 (2021) - [c11]Xingyu Chen, Yufeng Liu, Chongyang Ma, Jianlong Chang, Huayan Wang, Tian Chen, Xiaoyan Guo, Pengfei Wan, Wen Zheng:
Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration. CVPR 2021: 13274-13283 - [c10]Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan:
Differentiable Convolution Search for Point Cloud Processing. ICCV 2021: 7417-7426 - [i8]Xingyu Chen, Yufeng Liu, Chongyang Ma, Jianlong Chang, Huayan Wang, Tian Chen, Xiaoyan Guo, Pengfei Wan, Wen Zheng:
Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration. CoRR abs/2103.02845 (2021) - [i7]Lingxi Xie, Xiaopeng Zhang, Longhui Wei, Jianlong Chang, Qi Tian:
What Is Considered Complete for Visual Recognition? CoRR abs/2105.13978 (2021) - [i6]Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan:
Differentiable Convolution Search for Point Cloud Processing. CoRR abs/2108.12856 (2021) - 2020
- [j5]Jianlong Chang, Gaofeng Meng, Lingfeng Wang, Shiming Xiang, Chunhong Pan:
Deep Self-Evolution Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 809-823 (2020) - [j4]Jianlong Chang, Lingfeng Wang, Gaofeng Meng, Qi Zhang, Shiming Xiang, Chunhong Pan:
Local-Aggregation Graph Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2874-2886 (2020) - [c9]Qi Zhang, Jianlong Chang, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Spatio-Temporal Graph Structure Learning for Traffic Forecasting. AAAI 2020: 1177-1185 - [c8]Guan'an Wang, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zeng-Guang Hou:
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification. AAAI 2020: 12144-12151 - [i5]Guan'an Wang, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zengguang Hou:
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification. CoRR abs/2002.04114 (2020) - [i4]Lingxi Xie, Xin Chen, Kaifeng Bi, Longhui Wei, Yuhui Xu, Zhengsu Chen, Lanfei Wang, An Xiao, Jianlong Chang, Xiaopeng Zhang, Qi Tian:
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap. CoRR abs/2008.01475 (2020) - [i3]Longhui Wei, Lingxi Xie, Jianzhong He, Jianlong Chang, Xiaopeng Zhang, Wengang Zhou, Houqiang Li, Qi Tian:
Can Semantic Labels Assist Self-Supervised Visual Representation Learning? CoRR abs/2011.08621 (2020)
2010 – 2019
- 2019
- [j3]Qi Zhang, Jianlong Chang, Gaofeng Meng, Shibiao Xu, Shiming Xiang, Chunhong Pan:
Learning graph structure via graph convolutional networks. Pattern Recognit. 95: 308-318 (2019) - [c7]Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
DATA: Differentiable ArchiTecture Approximation. NeurIPS 2019: 874-884 - [i2]Jianlong Chang, Yiwen Guo, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Deep Discriminative Clustering Analysis. CoRR abs/1905.01681 (2019) - [i1]Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Differentiable Architecture Search with Ensemble Gumbel-Softmax. CoRR abs/1905.01786 (2019) - 2018
- [j2]Jianlong Chang, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Vision-Based Occlusion Handling and Vehicle Classification for Traffic Surveillance Systems. IEEE Intell. Transp. Syst. Mag. 10(2): 80-92 (2018) - [j1]Jianlong Chang, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Deep unsupervised learning with consistent inference of latent representations. Pattern Recognit. 77: 438-453 (2018) - [c6]Qi Zhang, Qizhao Jin, Jianlong Chang, Shiming Xiang, Chunhong Pan:
Kernel-Weighted Graph Convolutional Network: A Deep Learning Approach for Traffic Forecasting. ICPR 2018: 1018-1023 - [c5]Jianlong Chang, Jie Gu, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Structure-Aware Convolutional Neural Networks. NeurIPS 2018: 11-20 - 2017
- [c4]Jianlong Chang, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Deep Adaptive Image Clustering. ICCV 2017: 5880-5888 - 2014
- [c3]Chengcheng Yu, Fan Xia, Weining Qian, Aoying Zhou, Jianlong Chang:
On efficiently generating realistic social media timeline structures. SSDBM 2014: 45:1-45:4
2000 – 2009
- 2009
- [c2]Chen Zhang, Nianlong Weng, Jianlong Chang, Aoying Zhou:
Detecting Abnormal Trend Evolution over Multiple Data Streams. APWeb/WAIM 2009: 285-296 - 2008
- [c1]Aoying Zhou, Ying Yan, Xueqing Gong, Jianlong Chang, Dai Dai:
SMART: A System for Online Monitoring Large Volumes of Network Traffic. ICDE 2008: 1576-1579
Coauthor Index
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last updated on 2024-12-02 22:35 CET by the dblp team
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