 | Selected Publications (Full Publication List) (Highlight Grouped by Topic) Book & Chapter
1. Wei-Shi Zheng, Zhenan Sun, Yunhong Wang, Xilin Chen, Pong C. Yuen, and Jianhuang Lai, "Biometric Recognition," LNCS 7701, Springer, 2012 (ISBN: 978-3-642-35135-8) 2. Wei-Shi Zheng, JianHuang Lai, Pong C. Yuen, "Linear Dimension Reduction," Encyclopedia of Biometrics, Springer, pp. 899-903, 2009. 3. Wei-Shi Zheng, JianHuang Lai, Xiaohua Xie, Yan Liang, Pong C. Yuen, and Yaoxian Zou, "Kernel Methods for Facial Image Preprocessing," Pattern Recognition, Machine Intelligence and Biometrics---Expanding Frontiers, Springer and High Education Press, 2011. 4. Wei-Shi Zheng, Shaogang Gong, Tao Xiang. Group Association: Assisting Re-identification by Visual Context, Person Re-Identification, Springer, 2013. Selected Journal Publications: (*: indicating the PI (principal investigator) of the research work, and also the supervisor of the students of the paper of Sun Yat-sen University)
61.
Haoxin Li (student), Wei-Shi Zheng*, Jianguo Zhang, Haifeng Hu, Jiwen Lu, Jian-Huang Lai. Egocentric Action Recognition by Automatic Relation Modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), to appear 2022. (DOI: 10.1109/TPAMI.2022.3148790) 60.
Jiahui Pan (student), Jibin Gao (student), Wei-Shi Zheng*. Adaptive Action Assessment. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), to appear 2022.(DOI: 10.1109/TPAMI.2021.3126534) 3. 59.
Qing Zhang, Jin Zhou(student), Lei Zhu, Wei Sun, Chunxia Xiao, and Wei-Shi Zheng*. Unsupervised Intrinsic Image Decomposition Using Internal Self-similarity Cues. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), to appear 2022.(DOI: 10.1109/TPAMI.2021.3129795) 58. Wei-Shi Zheng, Jincheng Hong(student), Jiening Jiao, Ancong Wu, Xiatian Zhu, Shaogang Gong, Jiayin Qin, and Jian-Huang Lai. Joint Bilateral-resolution Identity Modeling for Cross-resolution Person Re-identification. International Journal of Computer Vision (IJCV), accepted, 2021. 57.
Xueyi Zheng, Ruixuan Wang, Xinke Zhang, Yan Sun, Haohuan Zhang, Zihan Zhao, Yuanhang Zheng, Jing Luo, Jiangyu Zhang, Hongmei Wu, Dan Huang, Wenbiao Zhu, Jianning Chen, Qinghua Cao, Hong Zeng, Rongzhen Luo, Peng Li, Lilong Lan, Jingping Yun, Dan Xie, Wei-Shi Zheng*, Junhang Luo*, Muyan Cai*. A deep learning model and human-machine fusion for prediction of EBV-associated gastric cancer from histopathology. Nature Communications, 2022. 56. Jingke Meng (student), Wei-Shi Zheng*, Jian-Huang Lai, Liang Wang. Deep Graph Metric Learning for Weakly Supervised Person Re-Identification. IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), to appear 2021. 55. Qize Yang (student), Ancong Wu (student), Wei-Shi Zheng*. Person Re-identification by Contour Sketch under Moderate Clothing Change. IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), to appear 2021. [Dataset] 54.
Jian-Fang Hu, Jiangxin Sun(student), Zihang Lin, Jianhuang Lai, Wenjun Zeng, and Wei-Shi
Zheng*. APANet: Auto-Path Aggregation for Future Instance Segmentation Prediction. IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), to appear 2021 53. Sheng Wu (student), and Wei-Shi Zheng*. Semi-Supervised Feature Learning by Deep Entropy-Sparsity Subspace Clustering. IEEE Transactions on Neural Networks and Learning Systems, to appear 2021. 52. Zelin Chen (student), Hong-Xing Yu (student), Ancong Wu (student), and Wei-Shi Zheng*. Letter-level Online Writer Identification. International Journal of Computer Vision (IJCV), to appear, 2021. 51.
Qing Zhang, Yongwei Nie, Lei Zhu，Chunxia Xiao, Wei-Shi Zheng*. A Blind Color Separation Model for Faithful Palette-based Image Recoloring. IEEE Transactions on Multimedia, to appear, 2021. 50. Jiahang
Yin (student), Ancong Wu (student), and Wei-Shi Zheng*. Fine-grained Person Re-identification. International Journal of Computer Vision (IJCV), vol. 128, pp. 1654-1672, 2020. [Dataset] 49. Ancong Wu (student), Wei-Shi Zheng*, Shaogang Gong, Jianhuang Lai. RGB-IR Person Re-Identification by Cross-Modality Similarity Preservation. International Journal of Computer Vision (IJCV), vol. 128, pp. 1765-1785, 2020. [Dataset] 48. Hong-Xing Yu (student), Ancong Wu (student), Wei-Shi Zheng*. Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding. IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), vol. 42, no. 4, pp. 956-973, 2020. [This work was finished when Hong-xing was an undergraduate student of his final year] 47.
Qing Zhang, Yongwei Nie, Lei Zhu, Chunxia Xiao, and Wei-Shi
Zheng*. Enhancing Underexposed Photos using Perceptually Bidirectional Similarity. IEEE Transactions on Multimedia, vol. 23, no. 3, pp. 189-202, 2020. 46. Jian-Fang
Hu (student), Wei-Shi Zheng*, Lianyang Ma, Gang Wang, Jianhuang Lai, and Jianguo Zhang. Early Action Prediction by Soft Regression. IEEE Transactions
on Pattern Analysis and Machine Intelligence (PAMI), vol. 43, no. 11, 2019. 45. Peizhen
Zhang (student), Yongyi Tang (student), Jian-Fang Hu (student), and Wei-Shi Zheng*. Fast Collective Activity Recognition Under Weak Supervision. IEEE
Transactions on Image Processing, vol. 29, no. 1, pp. 29-43, 2020. 44. Jingke
Meng (student), Ancong Wu (student), Wei-Shi
Zheng*. Deep asymmetric video-based person re-identification. Pattern
Recognition, vol. 93, pp. 430-441, 2019. 43.Wei-Hong
Li (student), Zhuowei Zhong (undergraduate student), Wei-Shi
Zheng*. One-pass person re-identification by sketch online discriminant analysis. Pattern
Recognition, vol. 93, pp. 237-250, 2019. 42. Qing Zhang, Yongwei Nie, and Wei-Shi Zheng*. Dual Illumination Estimation for Robust Exposure Correction. Pacific Graphics, vol. 38, no. 7, 2019. 41. Erping Long, ......, Wei-Shi Zheng, Weirong Chen, Haotian Lin, and Yizhi Liu. Discrimination of the behavioural dynamics of visually impaired infants via deep learning. Nature Biomedical Engineering, vol. 3, pp. 860-869, 2019. 40.
胡建芳, 王熊辉, 郑伟诗, 赖剑煌*. RGB-D 行为识别研究进展及展望. 自动化学报. 2019 May 20;45(5):829-40.
39. Ying-Cong
Chen (student), Xiatian Zhu, Wei-Shi Zheng*, and Jian-Huang Lai. Person
Re-Identification by Camera Correlation Aware Feature Augmentation. IEEE Transactions
on
Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 2, pp.392-408, 2018. [Project
Page (including codes)] 38. JianFang Hu (student), Wei-Shi Zheng*, Jian-Huang Lai, and Jianguo Zhang. Jointly Learning Heterogeneous Features for RGB-D Activity Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 39, no. 11, pp. 2186-2200, 2017.[Project Page (including codes)] 37.
郑伟诗，吴岸聪. 非对称行人重识别:跨摄像机持续行人追踪. 中国科学：信息科学, 2018年第05期. 36.
Shaofan Lai (undergraduate student), Wei-Shi Zheng*, Jianfang Hu, and Jianguo Zhang. Global-Local Temporal Saliency Action Prediction. IEEE
Transactions
on Image Processing, vol. 27, no. 5, pp: 2272 - 2285, 2018. 35.
Long-Kai Huang (undergraduate student), Qiang Yang(student), Wei-Shi Zheng*. Online
Hashing. IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 6, pp. 2309-2322, 2018.[code] 34. Xiatian Zhu, Botong Wu (undergraduate student), Dongcheng Huang (student), Wei-Shi Zheng*. Fast Open-World Person Re-Identification. IEEE Transactions on Image Processing, in press, 2018. [This work was finished when Xiantian was research assistant and Botong was an undergraduate student in our lab. They contributed equally for this work.] 33. Chenghao Zhang (undergraduate student), and Wei-Shi Zheng*. Semi-supervised Multi-view Discrete Hashing for Fast Image Search. IEEE Transactions on Image Processing, vol. 26, no. 6, pp. 2604-2617, 2017. [This work was submitted when Chenghao was an undergraduate student of his final year] 32. Ancong Wu (student), Wei-Shi Zheng*, Jian-Huang Lai. Robust Depth-based Person Re-identification. IEEE Transactions on Image Processing, vol. 26, no. 6, pp. 2588-2603, 2017. 31.
Jiansheng Wu (student), Wei-Shi Zheng*, Jianhuang Lai, Ching Y. Suen. Euler Clustering on Large-scale Dataset. IEEE Transactions on Big Data, 2017.
30. Jun-Yong Zhu (student), Wei-Shi Zheng*, Feng Lu, Jian-Huang Lai. Illumination Invariant Single Face Image Recognition under Heterogeneous Lighting Condition. Pattern Recognition, vol. 66, pp. 313-327, 2017. 29.
Jian-Fang Hu (student), Wei-Shi Zheng*, Xiaohua Xie, and Jian-Huang Lai. Sparse Transfer for Facial Shape-from-Shading Face Shape Transfer for 3D Face Shape Reconstruction. Pattern Recognition, to appear, 2017.
28. Jiazhi He (student), Jianfang Hu, Xi Lu, Wei-Shi Zheng*. Multi-Task Mid-Level Feature Learning for Micro-Expression Recognition. Pattern Recognition, vol. 66, pp. 44-52, 2017. 27.
Cairong Zhao, Xuekuan Wang, Wai Keung Wong, Wei-Shi Zheng, Jian Yang, Duoqian Miao. Multiple metric learning based on bar-shape descriptor for person re-identification. Pattern Recognition, vol. 71, pp. 218-234, 2017. 26. Wei-Shi Zheng, Shaogang Gong, and Tao Xiang. Towards Open-World Person Re-Identification by One-Shot Group-based Verification. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 38, no. 3, pp. 591-606, 2016. 25. Xiaojuan Wang (undergraduate student), Wei-Shi Zheng*, Xiang Li (student), and Jianguo Zhang. Cross-scenario Transfer Person Re-identification. IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 8, pp. 1447-1460, 2016. [Supplementary] 24.
Zhaoze Zhou (student), Wei-Shi Zheng*, JianHuang Hu(student), Yong Xu, Jane You. One-pass
Online Learning: A Local Approach. Pattern Recognition, 2016. [code] 23. Jian-Fang Hu (student), Wei-Shi Zheng*, Jian-Huang Lai, Shaogang Gong, and Tao Xiang. Exemplar-based Recognition of Human-Object Interactions. IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 4, pp. 647-660, 2016.[Project Page. SYSU-ACTION Dataset] 22. Ying-Cong Chen (student), Wei-Shi Zheng*, Jian-Huang Lai, Pong C. Yuen. An Asymmetric Distance Model for Cross-view Feature Mapping in Person Re-identification. IEEE Transactions on Circuits and Systems for Video Technology, 2016.[code] 21. Xiaohua Xie, Lingxiao Yang, and Wei-Shi Zheng*. Learning Object-Specific DAGs for Multi-Label Material Recognition. Computer Vision and Image Understanding, vol. 143, pp. 183-190, 2016.
20. Xiaobin
Chang (student), Wei-Shi Zheng*, and Jianguo Zhang. Learning
Person-Person Interaction in Collective Activity Recognition. 19. Jiansheng Wu (student), Wei-Shi Zheng*, Jian-Huang Lai. Approximate Kernel Competitive Learning. Neural Networks, pp. 117-132, 2015 [CODE] 18. Jun-Yong Zhu (student), Wei-Shi Zheng*, Jian-Huang Lai, Stan Z. Li, "Matching NIR Face to VIS Face using Transduction," IEEE Transactions on Information Forensics and Security, vol. 9, no. 3, pp. 501-514, 2014. 17. Ran He, Wei-Shi Zheng, Tieniu Tan, and Zhenan Sun, "Half-quadratic based Iterative Minimization for Robust Sparse Representation," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 36, no. 2, pp. 261-275, 2014.[ESI Hightly Cited Papers] 16. Wei-Shi Zheng, Shaogang Gong, and Tao Xiang,Re-identification by Relative Distance Comparison," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 35, no. 3, pp. 653-668, 2013. [Code][meta data for ilids, ethz and viper used in the PAMI paper][ESI Hightly Cited Papers] 15. Ran He, Wei-Shi Zheng, Bao-Gang Hu, and Xiang-Wei Kong, "Two-stage Nonnegative Sparse Representation for Large-scale Face Recognition," IEEE Trans. on Neural Network and Learning System (TNNLS), vol. 24, no. 1, pp. 35-46, 2013. 14. Yu Chen+, Wei-Shi Zheng+, Jian-Huang Lai, "Discriminant Subspace Learning Constrained by Locally Statistical Uncorrelation for Face Recognition," Neural Networks, vol. 42, pp. 28-43, 2013. 13. Chang-Dong Wang, Jian-Huang Lai, Dong Huang, and Wei-Shi Zheng, "SVStream: A Support Vector Based Algorithm for Clustering Data Streams," IEEE Trans. on Knowledge and Data Engineering, vol. 25, no. 6, pp. 1410 - 1424, 2013. 12. Wei-Shi Zheng, Shaogang Gong, and Tao Xiang, "Quantifying and Transferring Contextual Information in Object Detection," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 34, no. 4, pp. 762-777, 2012. 11. Wei-Shi Zheng, JianHuang Lai, Shengcai Liao, and Ran He, "Extracting Non-negative Basis Images Using Pixel Dispersion Penalty," Pattern Recognition, vol. 45, no. 8, pp. 2912-2926, 2012.[CODE] 10. Ran He, Wei-Shi Zheng, and BaoGang Hu, "Maximum Correntropy Criterion for Robust Face Recognition," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 33, no. 8, pp. 1561 - 1576, 2011.[ESI Hightly Cited Papers] 9. Ran He, BaoGang Hu, Wei-Shi Zheng, and Xiang-Wei Kong, "Robust Principal Component Analysis Based on Maximum Correntropy Criterion," IEEE Trans. on Image Processing, vol. 20, no. 6, pp. 1485-1494, 2011. 8. Xiaohua Xie, Wei-Shi Zheng, Jian-Huang Lai, Pong C. Yuen, and Ching Y. Suen, "Normalization of Face Illumination Based on Large- and Small- Scale Features," IEEE Trans. on Image Processing, vol. 20, no. 7, pp. 1807 - 1821, 2011. 7. Ran He, Wei-Shi Zheng, and BaoGang Hu, and Xiang-Wei Kong, "A Regularized Correntropy Framework for Robust Pattern Recognition," Neural Computation, vol. 23, no. 8, pp. 2074-2100, 2011. 6. Guoyun Lian, JianHuang Lai, and Wei-Shi Zheng, "Spatial-temporal Consistent Labeling of Tracked Pedestrians across Non-overlapping Camera Views," Pattern Recognition, vol. 44, no. 5, pp. 1121-1136, 2011. 5. Xiaohua Xie, JianHuang Lai, and Wei-Shi Zheng, "Extraction of Illumination Invariant Facial Features from A Single Image Using Nonsubsampled Contourlet Transform," Pattern Recognition, vol. 43, no.12, pp. 4177-4189, 2010. 4. Wei-Shi Zheng, Jian-Huang Lai, and Pong C. Yuen, "Penalized Pre-image Learning in Kernel Principal Component Analysis," IEEE Trans. on Neural Networks, vol. 21, no. 4, pp. 551-570, 2010. [Code] 3. Wei-Shi Zheng, Jian-Huang Lai, Pong C. Yuen, and Stan Z. Li, "Perturbation LDA: Learning the Difference between the Class Empirical Mean and Its Expectation," Pattern Recognition, vol. 42, no. 5, pp. 764-779, 2009. [Code] 2. Wei-Shi Zheng, Jian-Huang Lai, and Stan Z. Li, "1D-LDA versus 2D-LDA: When Is Vector-based Linear Discriminant Analysis Better than Matrix-based?" Pattern Recognition, vol. 41, no. 7, pp. 2156-2172, 2008. 1. Wei-Shi Zheng, Jian-Huang Lai, and Pong C. Yuen, "GA-fisher: A New LDA-based Face Recognition Algorithm with Selection of Principal Components," IEEE Transactions on Systems, Man, and Cybernetics, Part B, vol. 35, no. 5, pp. 1065-1078, 2005.
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Top Conferences: (*: indicating the PI (principal investigator) of the research work, and also the supervisor of the students of the paper of Sun Yat-sen University) 84.
Zhixuan Liu(student), Zibo Chen(student), Shangjin Xie(student), Wei-Shi
Zheng*. TransGrasp-A Multi-Scale Hierarchical Point Transformer for 7-DoF Grasp Detection. International Conference on Robotics and Automation (ICRA), 2022. 83.
Angchi Xu(student), Ling-An Zeng(student), Wei-Shi Zheng*. Likert Scoring with Grade Decoupling for Long-term Action Assessment. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. 82.
Yu-Ming Tang(student), Yi-Xing Peng(student), Wei-Shi Zheng*. Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022. 81.
Hanjun Li(student), Xingjia Pan, Ke Yan, Fan Tang, and Wei-Shi Zheng*. SIOD: Single Instance Annotated Per Category Per Image for Object Detection. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022. 80.
Jinrui Yang(student), Jiawei Zhang(student), Fufu Yu, Xinyang Jiang, Mengdan Zhang, Xing Sun, Yingcong Chen, and Wei-Shi Zheng*. Learning to Know Where to See: A Visibility-Aware Approach for Occluded Person Re-identification. In IEEE Conference on Computer Vision (ICCV), 2021. 79.
Shizhen Zhao, Changxin Gao, Yuanjie Shao, Wei-Shi Zheng, and Nong Sang. Weakly Supervised Text-based Person Re-Identification. In IEEE Conference on Computer Vision (ICCV), 2021. 78.
Zihang Lin(student), Jiangxin Sun(student), Jian-Fang Hu, Qizhi Yu, Jian-Huang Lai, and Wei-Shi Zheng. Predictive Feature Learning for Future Segmentation Prediction. In IEEE Conference on Computer Vision (ICCV), 2021. 77.
Jiangxin Sun(student), Zihang Lin(student), Xintong Han, Jian-Fang Hu, Jia Xu, and Wei-Shi Zheng. Action-guided 3D Human Motion Prediction. In Neural Information Processing Systems, 2021. 76. Shaohao Lu(student), Yuqiao Xian(student), Ke Yan, Yi Hu, Xing Sun, Xiaowei Guo, Feiyue Huang, and Wei-Shi Zheng*. Discriminator-free Generative Adversarial Attack. ACM International Conference on Multimedia (ACM MM), 2021. 75. Fa-Ting Hong(student), Jia-Chang Feng(student), Dan Xu, Ying Shan, and Wei-Shi Zheng*. Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization. ACM International Conference on Multimedia (ACM MM), 2021. 74. Wenhang Ge(student), Chunyan Pan(student), Ancong Wu, Hongwei Zheng, and Wei-Shi Zheng. Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes. ACM International Conference on Multimedia (ACM MM), 2021. 73.
Jia-Chang Feng (student), Fa-Ting Hong (student), Wei-Shi Zheng*.
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 72. Jiaming Zhou (student), Kun-Yu Lin (student), Haoxin Li (student), Wei-Shi Zheng*. Graph-based High-order Relation Modeling for Long-term Action Recognition. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. 71. Hanjun Li (student), Gaojie Wu (student), Wei-Shi Zheng*. Combined Depth Space Based Architecture Search For Person Re-identification. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. 70. Jiaxing Chen (student), Xinyang Jiang, Fudong Wang, Jun Zhang, Feng Zheng, Xing Sun, Wei-Shi Zheng*. Learning 3D Shape Feature for Texture-insensitive Person Re-identification. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. 69. Peixian Hong (student), Tao Wu (student), Ancong Wu, Xintong Han, Wei-Shi Zheng. Fine-Grained Shape-Appearance Mutual Learning for Cloth-Changing Person Re-Identification. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. 68. Lingan Zeng (student), Fating Hong (student), Wei-Shi Zheng*, Qizhi Yu, Wei Zeng, Yaowei Wang, and Jian-Huang Lai. Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos. ACM International Conference on Multimedia (ACM MM), 2020. 68 Lingan Zeng (student), Fating Hong (student), Wei-Shi Zheng*, Qizhi Yu, Wei Zeng, Yaowei Wang, and Jian-Huang Lai. Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos. ACM International Conference on Multimedia (ACM MM), 2020. 67.
Fa-Ting Hong (student), Xuanteng Huang (undergraduate student), Wei-Hong Li, and Wei-Shi Zheng*. MINI-Net: Multiple Instance Ranking Networkfor Video Highlight Detection. In European Conference on Computer Vision (ECCV), 2020. 66.
Jibin Gao (student), Wei-Shi Zheng*, Jia-Hui Pan (student), Chengying Gao*, Yaowei Wang, Wei Zeng, Jianhuang Lai. An Asymmetric Modeling for Action Assessment. In European Conference on Computer Vision (ECCV), 2020. 65. Hai Wang (student), Wei-Shi Zheng*, Yingbiao Ling. Contextual Heterogeneous Graph Network for Human-Object Interaction Detection.In European Conference on Computer Vision (ECCV), 2020. 64. 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. In European Conference on Computer Vision (ECCV), 2020. 63. Tanli Zuo (student), Yukun Qiu (student), Wei-Shi Zheng*. Neighbor Combinatorial Attention for Critical Structure Mining. International Joint Conference on Artificial Intelligence (IJCAI), 2020. 62. Hong-Xing Yu (student), and Wei-Shi
Zheng*. Weakly Supervised Discriminative Feature Learning with State Information for Person Identification. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. 61. Jinrui Yang (student), Wei-Shi
Zheng*, Qize Yang (student), Yingcong Chen, Qi Tian. Spatial-Temporal Graph Convolutional Network for Video-based Person Re-identification. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. 60. Haoxin Li (student), Wei-Shi Zheng*, Yu Tao (student), Haifeng Hu, Jian-Huang Lai. Adaptive Interaction Modeling via Graph Operations Search. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. 59. Fa-Ting Hong (student), Wei-Hong Li, Wei-Shi Zheng*. Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. 58. Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Zhifeng Li, Wei-Shi Zheng, Li Jonathan, Alexander Wong. Squeeze-and-Attention Networks for Semantic Segmentation. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. 57.
Ganzhao Yuan, Li Shen, Wei-Shi Zheng. A Block Decomposition Algorithm for Sparse Optimization. SIGKDD 2020. 56. Zhihui Zhu (student), Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Xing Sun, Wei-Shi
Zheng*. Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification. In AAAI Conference on Artificial Intelligence (AAAI), 2020. 55. Qing Zhang, Gelin Yin (student), Yongwei Nie, Wei-Shi Zheng*. Deep Camouflage Image. In AAAI Conference on Artificial Intelligence (AAAI), 2020. 54. Xinyang Jiang, Yifei Gong, Xiaowei Guo, Qize Yang, Feiyue Huang, Wei-Shi Zheng, Feng Zheng, Xing Sun. Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time Aspect. In AAAI Conference on Artificial Intelligence (AAAI), 2020. 53. Jiangxin Sun (student), Jiafeng Xie (student), Jian-Fang Hu, Zihang Lin (student), Jianhuang Lai, Wenjun Zeng, and Wei-Shi Zheng. Predicting Future Instance Segmentation with Contextual Pyramid ConvLSTMs. ACM International Conference on Multimedia (ACM MM), 2019.
52. Rong Zhang (student), Shuhan Tan (student), Ruixuan Wang*, Siyamalan Manivannan (student), Jingjing Chen (student), Haotian Lin, Wei-Shi Zheng. Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network,
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019. 51. Feifei Xue (student), Jin Peng (student), Ruixuan Wang*, Qiong Zhang (student), Wei-Shi
Zheng. Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks,
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019. 50. Ancong Wu (student), Wei-Shi Zheng*, Jian-Huang Lai. Unsupervised Person Re-identification by Camera-aware Similarity Consistency Learning. In IEEE Conf. on Computer Vision (ICCV), 2019. 49. Jia-Hui Pan (student), Jibin Gao (student) Wei-Shi
Zheng*. Action Assessment by Joint Relation Graphs.
In IEEE Conference on Computer Vision (ICCV), 2019.(Oral) 48. Guoliang Pang (student), Xionghui Wang (student), Jian-Fang Hu*, Qing Zhang, and Wei-Shi Zheng. DBDNet: Learning Bi-directional Dynamics for Early Action Prediction. International Joint Conference on Artificial Intelligence (IJCAI), 2019. 47. Shuhan Tan(undergraduate student), Jiening Jiao (student), Wei-Shi Zheng*. Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. 46. Qize Yang (student), Hong-Xing Yu (student), Ancong Wu (student), Wei-Shi Zheng*. Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. 45. Ancong Wu (student), Wei-Shi Zheng* and Jianhuang Lai. Distilled Person Re-identification: Towards a More Scalable System. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019. 44. Jingke Meng (student), Sheng Wu (student), Wei-Shi Zheng*. Weakly Supervised Person Re-identification. In the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. 43. Hong-Xing Yu (student), Wei-Shi Zheng*, Shaogang Gong, Ancong Wu (student), Xiaowei Guo, Jian-Huang Lai. Unsupervised person re-identification by soft multilabel learning. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (oral) 42. Wei-Hong Li (student), Fa-Ting Hong (student), Wei-Shi Zheng*. Learning to Learn Relation for Important People Detection in Still Images. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. 41. Xionghui Wang (student), Jian-Fang Hu, Jianhuang Lai, Jianguo Zhang, and Wei-Shi Zheng. Progressive Teacher-student Learning for Early Action Prediction. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. 40. Haoxin Li (student), Yijun Cai (student), Wei-Shi Zheng*. Deep Dual Relation Modeling for Egocentric Interaction Recognition. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. 39. Ruixing Wang, Qing Zhang, Chi-Wing Fu, Wei-Shi Zheng, and Jiaya Jia. Underexposed Photo Enhancement using Deep Illumination Estimation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.(oral) 38. Ganzhao Yuan, Li Shen, Wei-Shi Zheng*. A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. 37. Yijun Cai (student), Haoxin Li, Jian-Fang Hu, Wei-Shi Zheng*. Action Knowledge Transfer for Action Prediction with Partial Videos. In AAAI Conference on Artificial Intelligence (AAAI), 2019. 36. Xiang Li(undergraduate student), Ancong Wu, Wei-Shi Zheng*. Adversarial Open-World Person Re-Identification. In European Conference on Computer Vision(ECCV), 2018. 35. Jianfang Hu, Wei-Shi Zheng*, Jiahui Pan, Jianguo Zhang, JianHuang Lai. Deep Bilinear Learning for RGB-D ActionRecognition. In European Conference on Computer Vision (ECCV), 2018. 34. Guang-Yuan Hao(undergraduate student), Hong-Xing Yu, and Wei-Shi Zheng*. MIXGAN: Learning Concepts from Different Domains for Mixture Generation. In International Joint Conference on Artificial Intelligence (IJCAI), 2018. 33. Zhou Yin(student), Wei-Shi Zheng*, Ancong Wu#, Hong-Xing Yu#, Hai Wan, Xiaowei Guo, Feiyue Huang, and Jianhuang Lai Adversarial Attribute-Image Person Re-identification. InInternational Joint Conference on Artificial Intelligence (IJCAI), 2018. 32. Yongyi Tang(student), Lin Ma, Wei Liu, and Wei-Shi Zheng*. Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing MotionDynamic. In International Joint Conference on Artificial Intelligence (IJCAI), 2018. 31. Hai Wan, Yonghao Luo, Bo Peng, and Wei-Shi Zheng. Representation Learning for SceneGraph Completion via Jointly Structural and Visual Embedding. In International Joint Conference on Artificial Intelligence (IJCAI), 2018. 30. Jiening Jiao(student), Wei-Shi Zheng*, Ancong Wu, Xiatian Zhu, and Shaogang Gong. Deep Low-resolution PersonRe-identification. In AAAI Conference on Artificial Intelligence (AAAI), 2018. (oral) 29. Qing Zhang, Ganzhao Yuan, Chunxia Xiao, Lei Zhu, Wei-Shi Zheng*. High-Quality Exposure Correction of Underexposed Photos. In ACM International Conference on Multimedia (ACM MM), 2018. 28. Yanli Ji, F. Xu, Yang Yang, Fumin Shen, Heng Tao Shen, Wei-Shi Zheng. A Large Scale RGB-D Database for Arbitrary-view Human Action Recognition. In ACM International Conference on Multimedia (ACM MM),2018. 27. Ancong Wu (student), Wei-Shi Zheng*, Hongxing Yu (undergraduate student), Shaogang Gong, Jianhuang Lai. RGB-Infrared Cross-Modality Person Re-Identification. IEEE Conf. on Computer Vision (ICCV), 2017 26. Hongxing Yu (undergraduate student), Ancong Wu (student), Wei-Shi Zheng*. Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification. IEEE Conf. on Computer Vision (ICCV), 2017 25. Ganzhao Yuan, Wei-Shi Zheng, B. Ghanem. A Matrix Splitting Method for Composite Function Minimization. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017. 24. Jian-Fang Hu(student), Wei-Shi Zheng*, Liangyang Ma, Gang Wang, and Jianhuang Lai. Real-time RGB-D Activity Prediction by Soft Regression. In European Conference on Computer Vision (ECCV), 2016. 23. Jinjie You (student), Ancong Wu (student), Xiang Li (student), Wei-Shi Zheng*. Top-push Video-based Person Re-identification. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2016.[code] 22. Hailin Shi, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Yang Yang, Wei-Shi
Zheng, and Stan Li. Embedding Deep Metric for Person Re-identification A Study Against Large Variations. In European Conference on Computer Vision (ECCV), 2016. 21. Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, YunhongWang, Wangmeng Zuo, Wei-Shi
Zheng. Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image. In AAAI
Conference on Artificial Intelligence, 2017. 20. Wei-Shi Zheng, Xiang Li (student), Tao Xiang, Shengcai Liao, JianHuang Lai, Shaogang Gong. Partial Person Re-identification. IEEE Conf. on Computer Vision (ICCV), 2015 (oral). 19. Xiang Li (student), Wei-Shi Zheng*, Xiaojuan Wang (undergraduate student), Tao Xiang, Shaogang Gong. Multi-scale Learning for Low-resolution Person Re-identification. IEEE Conf. on Computer Vision (ICCV), 2015. 18. Botong Wu (undergraduate student), Qiang Yang (student), Wei-Shi Zheng*, Yizhou Wang, and Jingdong Wang. "Quantized Correlation Hashing for Fast Cross-modal Search ," International Joint Conference on Artificial Intelligence (IJCAI), 2015.[code] 17. Yingcong Chen (student), Wei-Shi Zheng*, and Jian-Huang Lai, "Mirror Representation for Modeling View-specific Transform in Person Re-identification," International Joint Conference on Artificial Intelligence (IJCAI), 2015.[code] 16. Jian-Fang Hu (student), Wei-Shi Zheng*, Jian-Huang Lai, and Jianguo Zhang, "Jointly Learning Heterogeneous Features for RGB-D Activity Recognition," IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2015.[code] 15. Jian-Fang Hu (student), Wei-Shi Zheng*, Jian-Huang Lai, Shaogang Gong, and Tao Xiang, "Recognising Human-Object Interaction via Exemplar based Modelling," IEEE Conf. on Computer Vision (ICCV) 2013. 14. Yuanlu Xu, Liang Lin, Wei-Shi Zheng, and Xiaobai Liu, "Human Re-identification by Matching Compositional Template with Cluster Sampling," IEEE Conf. on Computer Vision (ICCV) 2013. 13. Jian-sheng Wu (student), Wei-Shi Zheng*, Jian-huang Lai, "Euler Clustering," International Joint Conference on Artificial Intelligence (IJCAI), 2013. 12.Longkai Huang(undergraduate student), Qiang Yang(student), Wei-Shi Zheng*, "Online Hashing," International Joint Conference on Artificial Intelligence (IJCAI), 2013. [Code] 11. Qiang Yang(student), Longkai Huang(undergraduate student), Wei-Shi Zheng*, Yingbiao Ling. Smart Hashing Update for Fast Response. International Joint Conference on Artificial Intelligence (IJCAI), 2013. 10. Wenqi Li (co-supervised student), Jianguo Zhang, Stephen McKenna, Wei-Shi Zheng, Maria Coats, Frank Carey "Learning from Partially Annotated OPT Images by Contextual Relevance Ranking," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2013, accepted. (This paper is for the NSFC-RSE joint project. Wenqi Li is the co-supervised student when I was in University of Dundee) 9. Ran He, Tieniu Tan, Liang Wang, and Wei-Shi Zheng, "l2,1 Regularized Correntropy for Robust Feature Selection", IEEE Conf. on Computer Vision and Pattern Recognition, Rhode Island, USA, June 2012. 8. Wei-Shi Zheng, Shaogang Gong, and Tao Xiang, "Transfer Re-identification: From Person to Set-based Verification", IEEE Conf. on Computer Vision and Pattern Recognition, Rhode Island, USA, June 2012. 7. Wei-Shi Zheng, Shaogang Gong, and Tao Xiang, "Person Re-identification by Probabilistic Relative Distance Comparison", IEEE Conf. on Computer Vision and Pattern Recognition, 2011 (Acceptance rate: 26.4%) 6. Ran He, Tieniu Tan, Zhenan Sun, and Wei-Shi Zheng, "Recovery of Corrupted Low-Rank Matrices via Half-Quadratic based Nonconvex Minimization," IEEE Conf. on Computer Vision and Pattern Recognition, 2011. (Acceptance rate: 26.4%) 5. Ran He and Wei-Shi Zheng, "Nonnegative Sparse Coding for Discriminative Semi-supervised Learning," IEEE Conf. on Computer Vision and Pattern Recognition, 2011. (Acceptance rate: 26.4%) 4. Ran He, BaoGang Hu, Wei-Shi Zheng, and YanQing Guo, "Two-stage Sparse Representation for Robust Recognition on Large-scale Database," In Proc. Twenty-Fourth AAAI Conference on Artificial Intelligence , 2010 (oral). (Acceptance rate: 26.9%) 3. Wei-Shi Zheng, Shaogang Gong, and Tao Xiang, "Quantifying Contextual Information for Object Detection," In Proc. IEEE International Conference on Computer Vision (ICCV), Kyoto, Japan, October, 2009. (Acceptance rate: 23%) 2. Xiaohua Xie, Wei-Shi Zheng, Jian-Huang Lai, and Pong C. Yuen, "Face Illumination Normalization on Large and Small Scale Features," In Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008. (Acceptance rate: 31%) 1. Wei-Shi Zheng, Stan Z. Li, Jian-Huang Lai, and Shengcai Liao. On Constrained Sparse Matrix Factorization. In Proc. IEEE International Conference on Computer Vision (ICCV), Brazil, 2007. (Acceptance rate: 23%)
Main Conferences in Computer Vision and Machine Learning: (*: indicating the PI (principal investigator) of the research work, and also the supervisor of the students of the paper of Sun Yat-sen University) 28. Weixian Lei(student), Rong Zhang(student), Yang Yang(student), Ruixuan Wang*, Wei-Shi Zheng. Class-center Involved Triplet Loss for Skin Disease Classification on Imbalanced Data, International Symposium on Biomedical Imaging (ISBI) , 2020. [(Best Paper Award Finalist)] 27. Qize Yang (student), Ancong Wu, Wei-Shi Zheng*. Deep Semi-supervised Person Re-identification with External Memory. In IEEE International Conference on Multimedia and Expo (ICME), 2019. 26.
Yixin Zhu (student), Jun-Yong Zhu, Wei-Shi Zheng. Part-based Convolutional Network for Imbalanced Age Estimation. IEEE International Conference on Multimedia and Expo (ICME), 2019. 25.
Jianheng Li (student), Fuhang Liang, Yuanxun Li, Wei-Shi Zheng*. Fast Person Search Pipeline. IEEE International Conference on Multimedia and Expo (ICME), 2019. 24.
Peizhen Zhang (student), Feng Zheng, Junlong Du, Jun Zhang, Xiaowei Guo, Wei-Shi
Zheng*. Particle swarm loss for lightweight object detection. IEEE International Conference on Multimedia and Expo (ICME), 2019. 23.
Benchao Li (student), Zhenzhong Chen, Shan Liu, Wei-Shi Zheng*. Affective Content Analyses by Using Cross-modal Embedding Learning Features. IEEE International Conference on Multimedia and Expo (ICME), 2019. 22.
Shuosen Guan (student), Haoxin Li, Wei-Shi Zheng*. Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM. In Proceedings of IEEE International Conference on Multimedia and Expo (ICME), 2019. 21.
Jianheng Li (student), Fuhang Liang, Yuanxun Li, Wei-Shi Zheng*. Fast Person Search Pipeline. IEEE International Conference on Multimedia and Expo (ICME), 2019. 20.
Hui Li, Meng Yang, Zhihui Lai, Wei-Shi Zheng, Zitong Yu. Pedestrian re-identification based on Tree branch network with local and global learning. IEEE International Conference on Multimedia and Expo (ICME), 2019. 19.
Weihong Li, Benchao Li, Wei-Shi
Zheng*: PersonRank: Detecting Important People in Images. IEEE International Conference on Automatic Face and Gesture Recognition (FG), pp:
234-241,
2018. (oral) 18.
Zelin Chen, Hong-Xing Yu, Ancong Wu, Wei-Shi
Zheng*: Letter-Level Writer Identification. IEEE International Conference on Automatic Face and Gesture Recognition (FG), pp: 381-388, 2018. (spotlight) 17.
Yi Zhong(student) and Wei-Shi Zheng*. Unsupervised Learning for Forecasting Action Representations. ICIP 2018. 16.
Benchao Li(student), Wanhua Li(student), Yongyi Tang(student), Jian-Fang Hu, and Wei-Shi Zheng*. GL-PAM RGB-D Gesture Recognition. ICIP 2018. 15.
Weiji Wu(student), Ancong Wu(student), and Wei-Shi Zheng*. Light Person Re-identification by Multi-Cue Tiny Net. ICIP 2018. 14.
Baoyu Yuan(student), Ancong Wu(student), Wei-Shi Zheng*. Does A Body Image Tell Age? ICPR 2018. 13.
Guangyun Han, Xiaohua Xie, Wei-Shi Zheng*, Jian-huang Lai. Learning Intrinsic Image Decomposition by Deep Neural Network with Perceptual Loss. ICPR 2018. 12.
Yongyi Tang (student), Peizhen Zhang (student), Jian-Fang Hu, Wei-Shi
Zheng*. Latent Embeddings for Collective Activity Recognition. IEEE AVSS, 2017. 11.
Shangxuan Wu(undergraduate student), Ying-Cong Chen(student), Xiang Li(student), An-Cong Wu(student), Jin-Jie You(student), and Wei-Shi
Zheng*. An
Enhanced Deep Feature Representation for Person Re-identification. WACV 2016.[Feature
Extracted by Ours] 10. Ancong Wu (student), Wei-Shi Zheng*, and Jian-Huang Lai. Depth-based Person Re-identification. Asian Conference on Pattern Recognition, 2015, to appear, oral. (This work was done when Ancong was a undergraduate student) 9. Hongwei Li (student), Jianguo Zhang, Wei-Shi Zheng. HEp-2 Cells Staining Patterns Classification via Wavelet Scattering Network and Random Forest, 2015, to appear. 8. Xiang Li(student), Ancong Wu(student), Mei Cao, Jinjie You(student) and Wei-Shi Zheng*. Towards More Reliable Matching for Person Re-identification. Proceedings of the First IEEE International Conference on Identity, Security and Behavior Analysis, 2015. 7. Yonggang Qi, Wei-Shi Zheng, Tao Xiang, Yi-Zhe Song, Honggang Zhang, and Jun Guo. One-shot Learning of Sketch Categories with Co-regularized Sparse Coding. International Symposium on Visual Computing, 2014. 6. Jun-Yong Zhu (student), Wei-Shi Zheng*, JianHuang Lai, " Logarithm Gradient Histogram: A General Illumination Invariant Descriptor for Face Recognition," IEEE Conference on Automatic Face and Gesture Recognition, 2013 (oral).[CODE] 5. Jun-Yong Zhu(student), Wei-Shi Zheng*, JianHuang Lai, "Transductive VIS-NIR Face Matching," IEEE International Conference on Image Processing, 2012. 4. Wei-Shi Zheng, Shaogang Gong, and Tao Xiang, "Unsupervised Selective Transfer Learning for Object Recognition," Asian Conference on Computer Vision (ACCV) 2010. 3. Wei-Shi Zheng, Shaogang Gong, and Tao Xiang, "Associating Groups of People," In Proc. British Machine Vision Conference (BMVC), London, September 2009. 2. Wei-Shi Zheng, Jian-Huang Lai, "Regularized Locality Preserving Learning of Pre-Image Problem in Kernel Principal Component Analysis, " In Proc. 18th International Conference on Pattern Recognition (ICPR), 2006. (top 15%, oral)
1. Wei-Shi Zheng, Jian-Huang Lai, and Pong C. Yuen. Weakly Supervised Learning on Pre-image Problem in Kernel Methods. In Proc. 18th International Conference on Pattern Recognition (ICPR), 2006 |
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