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Wei Tang's Google Scholar Profile

  • Xiaoqian Ruan, Pei Yu, Dian Jia, Hyeonjeong Park, Peixi Xiong, and Wei Tang, "Learning Partonomic 3D Reconstruction from Image Collections," in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’25), Nashville, TN, Jun. 2025. [PDF] [Code]

  • Haoyu Wang, Le Wang, Sanping Zhou, Jingyi Tian, Zheng Qin, Yabing Wang, Gang Hua, and Wei Tang, "Towards Precise Embodied Dialogue Localization via Causality Guided Diffusion," in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’25), Nashville, TN, Jun. 2025. [PDF]

  • Sen Wang, Le Wang, Sanping Zhou, Jingyi Tian, Jiayi Li, Haowen Sun, and Wei Tang, "FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation," in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’25), Nashville, TN, Jun. 2025. [PDF]

  • Jingyi Tian, Le Wang, Sanping Zhou, Sen Wang, Jiayi Li, Haowen Sun, and Wei Tang, "PDFactor: Learning Tri-Perspective View Policy Diffusion Field for Multi-Task Robotic Manipulation," in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’25), Nashville, TN, Jun. 2025. [PDF]

  • Zhiming Zou, Dian Jia, and Wei Tang, "Towards Unsupervised Learning of Joint Facial Landmark Detection and Head Pose Estimation," Pattern Recognition (PR), 2025. [PDF] [Code]

  • Dian Jia, Xiaoqian Ruan, Kun Xia, Zhiming Zou, Le Wang, and Wei Tang, "Analysis-by-Synthesis Transformer for Single-View 3D Reconstruction," in European Conference on Computer Vision (ECCV’24), Milan, Italy, Oct. 2024. [PDF] [Code]

  • Haoyue Shi, Le Wang, Sanping Zhou, Gang Hua, and Wei Tang, "Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection," in European Conference on Computer Vision (ECCV’24), Milan, Italy, Oct. 2024. [PDF] [Code]

  • Mingyuan Liu, Jicong Zhang, and Wei Tang, "Imbalance-Aware Discriminative Clustering for Unsupervised Semantic Segmentation," International Journal of Computer Vision (IJCV), 2024. [PDF] [Code]

  • Zheng Qin, Le Wang, Sanping Zhou, Panpan Fu, Gang Hua, and Wei Tang, "Towards Generalizable Multi-Object Tracking," in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’24), Seattle, WA, Jun. 2024. [PDF] [Code]

  • Xiaoqian Ruan and Wei Tang, "Fully Test-time Adaptation for Object Detection," in IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW’24), Seattle, WA, Jun. 2024. [PDF] [Code]

  • Kun Xia, Le Wang, Sanping Zhou, Gang Hua, and Wei Tang, "Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization," in IEEE/CVF International Conference on Computer Vision (ICCV'23), Paris, France, Oct. 2023. [PDF]

  • Zheng Qin, Sanping Zhou, Le Wang, Jinghai Duan, Gang Hua, and Wei Tang, "MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking," in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’23), Vancouver, Canada, Jun. 2023. [PDF]

  • Wei Tang, Zhou Ren, and Jingdong Wang, "Guest Editorial: Special Issue on Human Pose Estimation and Its Applications," Machine Vision and Applications (MVA), 2023. [PDF]

  • Haoyue Shi, Le Wang, Sanping Zhou, Gang Hua, and Wei Tang, "Abnormal Ratios Guided Multi-Phase Self-Training for Weakly-Supervised Video Anomaly Detection," IEEE Transactions on Multimedia (T-MM), 2023. [PDF]

  • Kun Xia, Le Wang, Sanping Zhou, Nanning Zheng, and Wei Tang, "Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization", in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’22), New Orleans, LA, Jun. 2022. [PDF]

  • Zhicheng Fu, Miao Song, Chao Ma, Joseph Nasti, Vivek Tyagi, Grant Lloyd, and Wei Tang, "An Efficient Hybrid Model for Low-light Image Enhancement in Mobile Devices," in IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW'22) , New Orleans, LA, Jun. 2022. [PDF]

  • Kun Xia, Le Wang, Sanping Zhou, Gang Hua, and Wei Tang, "Dual Relation Network for Temporal Action Localization," in Pattern Recognition (PR), 2022. [PDF]

  • Zixin Zhu, Le Wang, Wei Tang, Ziyi Liu, Nanning Zheng, and Gang Hua, "Learning Disentangled Classification and Localization Representations for Temporal Action Localization," in AAAI Conference on Artificial Intelligence (AAAI'22), Virtual, Feb. 2022. [PDF]

  • Chengkang Shen, Peiyan Wang, and Wei Tang, "Exploiting Appearance Transfer and Multi-scale Context for Efficient Person Image Generation," in Pattern Recognition (PR), 2022. [PDF]

  • Haoyue Shi, Le Wang, Nanning Zheng, Gang Hua, and Wei Tang, "Loss Functions for Pose Guided Person Image Generation," in Pattern Recognition (PR), 2022. [PDF] [Code]

  • Zhiming Zou and Wei Tang, "Modulated Graph Convolutional Network for 3D Human Pose Estimation," in IEEE/CVF International Conference on Computer Vision (ICCV'21), Virtual, Oct. 2021. [PDF] [Code]

  • Zixin Zhu, Wei Tang, Le Wang, Nanning Zheng, and Gang Hua, "Enriching Local and Global Contexts for Temporal Action Localization," in IEEE/CVF International Conference on Computer Vision (ICCV'21), Virtual, Oct. 2021. [PDF] [Code]

  • Haoxuanye Ji, Le Wang, Sanping Zhou, Wei Tang, Nanning Zheng, and Gang Hua, "Meta Pairwise Relationship Distillation for Unsupervised Person Re-identification," in IEEE/CVF International Conference on Computer Vision (ICCV'21), Virtual, Oct. 2021. [PDF] [Code]

  • Fang Zheng, Le Wang, Sanping Zhou, Wei Tang, Zhenxing Niu, Nanning Zheng, and Gang Hua, "Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction," in IEEE/CVF International Conference on Computer Vision (ICCV'21), Virtual, Oct. 2021. [PDF]

  • Mingyuan Liu, Dan Schonfeld, and Wei Tang, "Exploit Visual Dependency Relations for Semantic Segmentation," in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’21), Virtual, Jun. 2021. [PDF]

  • Ziyi Liu, Le Wang, Wei Tang, Junsong Yuan, Nanning Zheng, and Gang Hua, "Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context," in AAAI Conference on Artificial Intelligence (AAAI'21), Vancouver, Canada, Feb. 2021. [PDF]

  • Ziyi Liu, Le Wang, Qilin Zhang, Wei Tang, Junsong Yuan, Nanning Zheng, and Gang Hua, "ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization," in AAAI Conference on Artificial Intelligence (AAAI'21), Vancouver, Canada, Feb. 2021. [PDF]

  • Chengkang Shen, Peiyan Wang, and Wei Tang, "Two-Stream Appearance Transfer Network for Person Image Generation," arXiv preprint arXiv:2011.04181, 2020. [PDF]

  • Kenkun Liu, Zhiming Zou, and Wei Tang, "Learning Global Pose Features in Graph Convolutional Networks for 3D Human Pose Estimation," in Asian Conference on Computer Vision (ACCV’20), Kyoto, Japan, Nov. 2020. [PDF]

  • He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, and Philip Yu, "Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score," in Asian Conference on Computer Vision (ACCV’20), Kyoto, Japan, Nov. 2020. [PDF] [Code]

  • Zhiming Zou, Kenkun Liu, Le Wang, and Wei Tang, "High-order Graph Convolutional Networks for 3D Human Pose Estimation," in British Machine Vision Conference (BMVC’20), Manchester, UK, Sept. 2020. [PDF] [Code]

  • He Huang, Yuanwei Chen, Wei Tang, Wenhao Zheng, Qing-Guo Chen, Yao Hu, and Philip Yu, "Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge," in British Machine Vision Conference (BMVC’20), Manchester, UK, Sept. 2020. [PDF]

  • Haoyue Shi, Le Wang, Wei Tang, Nanning Zheng, and Gang Hua, "Loss Functions for Person Image Generation," in British Machine Vision Conference (BMVC’20), Manchester, UK, Sept. 2020. [PDF] [Code]

  • Kenkun Liu, Rongqi Ding, Zhiming Zou, Le Wang, and Wei Tang, "A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation," in European Conference on Computer Vision (ECCV’20), Glasgo, Scotland, UK, Aug. 2020. [PDF]

  • Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Junsong Yuan, and Gang Hua, "Two-Stream Consensus Networks for Weakly-Supervised Temporal Action Localization," in European Conference on Computer Vision (ECCV’20), Glasgo, Scotland, UK, Aug. 2020. [PDF]

  • Wei Tang and Ying Wu, "Does Learning Specific Features for Related Parts Help Human Pose Estimation?," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), Long Beach, CA, Jun. 2019. [PDF] [Code]

  • Wei Tang, Pei Yu, and Ying Wu, "Deeply Learned Compositional Models for Human Pose Estimation," in European Conference on Computer Vision (ECCV’18), Munich, Germany, Sep. 2018. [PDF] [Code]

  • Wei Tang, John Corring, Ying Wu, and Gang Hua, "A Compositional Textual Model for Recognition of Imperfect Word Images", arXiv preprint arXiv:1811.11239, 2018. [PDF]

  • Wei Tang, Pei Yu, Jiahuan Zhou, and Ying Wu, "Towards a Unified Compositional Model for Visual Pattern Modeling," in IEEE International Conference on Computer Vision (ICCV’17), Venice, Italy, Oct. 2017. [PDF] [Code]

  • Jiahuan Zhou, Pei Yu, Wei Tang, and Ying Wu, "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification," in IEEE International Conference on Computer Vision (ICCV’17), Venice, Italy, Oct. 2017. [PDF]

  • Dan Wang, Zhenwei Shi, and Wei Tang, "Collaborative Sparse Unmixing of Hyperspectral Data Using l2,p Norm," in IEEE International Geoscience and Remote Sensing Symposium (IGARSS’16), Beijing, China, Jul. 2016. [PDF]

  • Wei Tang, Zhenwei Shi, Ying Wu, and Changshui Zhang, "Sparse Unmixing of Hyperspectral Data Using Spectral a Priori Information," IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2015. [PDF] [Code]

  • Shuo Yang, Zhenwei Shi, and Wei Tang, "Robust Hyperspectral Image Target Detection Using an Inequality Constraint," IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2015. [PDF]

  • Wei Tang, Zhenwei Shi, and Ying Wu, "Regularized Simultaneous Forward-backward Greedy Algorithm for Sparse Unmixing of Hyperspectral Data," IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2014. [PDF] [Code]

  • Zhenwei Shi, Wei Tang, Duren Zhana, and Zhiguo Jiang, "Subspace Matching Pursuit for Sparse Unmixing of Hyperspectral Data," IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2014. [PDF] [Code]

  • Wei Tang, Zhenwei Shi, and Duren Zhana, "Sparse Hyperspectral Unmixing Using an Approximate L0 Norm," International Journal for Light and Electron Optic (Optik), 2014. [PDF]

  • Jiao Long, Zhenwei Shi, Wei Tang, and Changshui Zhang, "Single Remote Sensing Image Dehazing," IEEE Geoscience and Remote Sensing Letters (GRSL), 2014. [PDF]

  • Zhenwei Shi, Jiao Long, Wei Tang, and Changshui Zhang, "Single Image Dehazing in Inhomogeneous Atmosphere," International Journal for Light and Electron Optic (Optik), 2014. [PDF]

  • Zhenyu An, Zhenwei Shi, Xichao Teng, Xinran Yu, and Wei Tang, "An Automated Airplane Detection System for Large Panchromatic Image with High Spatial Resolution," International Journal for Light and Electron Optic (Optik), 2014. [PDF]

  • Wei Tang, Zhenwei Shi, and Zhenyu An, "Nonnegative Matrix Factorization for Hyperspectral Unmixing Using Prior Knowledge of Spectral Signatures," Optical Engineering (OE), 2012. [PDF] [Code]

  • Jiao Long, Zhenwei Shi, and Wei Tang, "Fast Haze Removal for a Single Remote Sensing Image Using Dark Channel Prior," in International Conference on Computer Vision in Remote Sensing (CVRS’12), Xiamen, China, Jan. 2012. [PDF]

  • Zhou Zhang, Zhenwei Shi, Wei Tang, and Liu Liu, "Hyperspectral Unmixing Using Nonnegative Matrix Factorization with an Approximate L0 Sparsity Constraint," in International Congress on Image and Signal Processing (CISP’12), Chongqing, China, Feb. 2012. [PDF]