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Wei Tang's Google Scholar Citations

  • 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.

  • 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.

  • 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]

  • 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]

  • 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]

  • 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, Sept. 2018. [PDF]

  • 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]

  • 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]

  • 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]

  • 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]

  • 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]

  • 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]