Academic Activities:
Member of Program Committee:
Area Chair:
Reviewer for International Journals:
Reviewer for International Conferences:
Sanping Zhou, Ph.D.
Professor
Institute of Artificial Intelligence and Robotics
College of Artificial Intelligence
周三平， 博士
教授，博导
人工智能与机器人研究所
人工智能学院
西安交通大学
2025， 西安交通大学青年拔尖人才A类
2024，西安交通大学本科生专业实习优秀团队指导教师
2024，中国图象图形学学会自然科学一等奖(2/5)
2024，CVPR工业异常检测竞赛亚军
2024，CVPR机器视觉抓取竞赛亚军
2023，西安交通大学青年拔尖人才B类
2023，西安交通大学本科生专业实习优秀团队指导教师
2023，CVPR车辆轨迹预测竞赛亚军
2022，教育部自然科学一等奖(6/6)
2022，西安交通大学青年优秀人才A类
2021，西安交通大学本科生专业实习优秀团队指导教师
2018，人工智能与机器人研究所学术之星
2018，西安交通大学博士国家奖学金
2018，国家留学基金委公派留学资助
2018，中国研究生智慧城市创意与设计大赛冠军
2017，人工智能与机器人研究所学术之星
2017，西安交通大学博士国家奖学金
Email: spzhou@xjtu.edu.cn
Mail: Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, Shaanxi, 710049, China
Office: Room 351, Science Building
I am a Professor with Institute of Artificial Intelligence and Robotics (IAIR) at Xi'an Jiaotong University (XJTU). I received my PhD. degree from Xi'an Jiaotong University, Xi'an, China, in 2020, advised by Prof. Jinjun Wang. On October 1, 2018, I joined in the Human Sensing Lab at Carnegie Mellon University (CMU) as a visiting researcher. I work with Dr. Dong Huang during my one year's study at CMU. From May 26, 2020 to August 26, 2023, I was an Assistant Professor with IAIR at XJTU. From August 27, 2023 to May 5, 2025, I was an Associate Professor with IAIR at XJTU. My research interest includes computer vision and machine learning. Currently, I am particularly interested in developing the deep learning based algorithms in terms of Visual Grasping, Visual Navigation, Video Understanding, Multi-task Learning and Meta Learning.
长期招收博士生、硕士生、本科实习生，欢迎联系！
2025
[93] Yonghao Dong, Le Wang, Sanping Zhou, Wei Tang, Gang Hua, and Changyin Sun. AFC-RNN: Adaptive Forgetting-Controlled Recurrent Neural Network for Pedestrian Trajectory Prediction[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
[92] Wang Sen, Wang Le, Zhou Sanping, Tian Jingyi, Li Jiayi, Sun Haowen, and Tang Wei. FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation[C]//Proceedings of the Conference on Computer Vision and Pattern Recognition, 2025: 12176-12186.
[91] Tian Jingyi, Wang Le, Zhou Sanping, Wang Sen, Li Jiayi, Sun Haowen, and Tang Wei. PDFactor: Learning Tri-Perspective View Policy Diffusion Field for Multi-Task Robotic Manipulation[C]//Proceedings of the Conference on Computer Vision and Pattern Recognition, 2025: 15757-15767.
[90] Wang Haoyu, Wang Le, Zhou Sanping, Tian Jingyi, Qin Zheng, Wang Yabing, Hua Gang, and Tang Wei. Towards Precise Embodied Dialogue Localization via Causality Guided Diffusion[C]//Proceedings of the Conference on Computer Vision and Pattern Recognition, 2025: 13350-13360.
[89] Wu Kangyi, Li Pengna, Fu Jingwen, Li Yizhe, Wu Yang, Liu Yuhan, Wang Jinjun, and Zhou Sanping. Event-Equalized Dense Video Captioning[C]//Proceedings of the Conference on Computer Vision and Pattern Recognition, 2025: 8417-8427.
[88] Liu Mengnan, Wang Le, Zhou Sanping, Xia Kun, Sun Xiaolong, and Hua Gang. Boosting Point-Supervised Temporal Action Localization through Integrating Query Reformation and Optimal Transport[C]//Proceedings of the Conference on Computer Vision and Pattern Recognition, 2025: 13865-13875.
[87] Bai Sihan, Zhou Sanping, Qin Zheng, Wang Le, and Nanning Zheng. Robust Noisy Label Learning via Two-Stream Sample Distillation[J]. IEEE Transactions on Multimedia, 2025.
[86] Wang Yabing, Tian Zhuotao, Qin Zheng, Zhou Sanping, and Wang Le. RefDetector: A Simple yet Effective Matching-based Method for Referring Expression Comprehension[C]//Proceedings of the AAAI Conference on Artificial Intelligence, 2025.
[85] Li Pengna, Wu Kangyi, Fu Jingwen, and Zhou Sanping. REGNav: Room Expert Guided Image-Goal Navigation[C]//Proceedings of the AAAI Conference on Artificial Intelligence, 2025.
[84] Sun Xiaolong, Shi Liushuai, Wang Le, Zhou Sanping, Xia Kun, Wang Yabing, and Hua Gang. Diversifying query: Region-guided transformer for temporal sentence grounding[C]//Proceedings of the AAAI Conference on Artificial Intelligence, 2025.
[83] Li Yizhe, Zhou Sanping, Qin Zheng, and Wang Le. Visual-Linguistic Feature Alignment with Semantic and Kinematic Guidance for Referring Multi-Object Tracking[J]. IEEE Transactions on Multimedia, 2025.
[82] Shen Yanqing, Zhou Sanping, Fu Jingwen, Wang Ruotong, Chen Shitao, and Zheng Nanning. StructVPR++: Distill Structural and Semantic Knowledge with Weighting Samples for Visual Place Recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
[81] Dong Jinpeng, Yao Dingyi, Hu Yufeng, Zhou Sanping, and Zheng Nanning. A Novel Dense Object Detector with Scale Balanced Sample Assignment and Refinement[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2025.
[80] Hui Siqi, Zhou Sanping, Deng Ye, Li Pengna, and Wang Jinjun. Meta channel masking for cross-domain few-shot image classification[J]. Neurocomputing, 2025.
2024
[79] Dong Yonghao, Wang Le, Zhou Sanping, Hua Gang, and Sun Changyin. Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction[J]. IEEE Transactions on Multimedia, 2024.
[78] Liu Yuhan, Huang Qianxin, Hui Siqi, Fu Jingwen, Zhou Sanping, Wu Kangyi, Li Pengna, and Wang Jinjun. Semantic-aware Representation Learning for Homography Estimation[C]//Proceedings of the 32nd ACM International Conference on Multimedia, 2024: 2506-2514.
[77] Hui Siqi, Zhou Sanping, Deng Ye, Wu Yang, and Wang Jinjun. Gradient-guided channel masking for cross-domain few-shot learning[J]. Knowledge-Based Systems, 2024, 305: 112548.
[76] Wu Yang, Deng Ye, Zhou Sanping, Liu Yuhan, Huang Wenli, and Wang Jinjun. CR-former: Single Image Cloud Removal with Focused Taylor Attention[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024.
[75] Gao Ning, Zhou Sanping, Wang Le, and Zheng Nanning. PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation[C]//European Conference on Computer Vision, 2024: 144-160.
[74] Shi Haoyue, Wang Le, Zhou Sanping, Hua Gang, and Tang Wei. Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection[C]//European Conference on Computer Vision, 2024: 163-180.
[73] Liu Mengnan, Wang Le, Zhou Sanping, Xia Kun, Wu Qi, Zhang Qilin, and Hua Gang. Stepwise Multi-grained Boundary Detector for Point-Supervised Temporal Action Localization[C]//European Conference on Computer Vision, 2024: 333-349.
[72] Dong Jinpeng, Lin Yutong, Li Chen, Zhou Sanping, and Zheng Nanning. AugDETR: Improving Multi-scale Learning for Detection Transformer[C]//European Conference on Computer Vision, 2024: 238-255.
[71] Ji Haoxuanye, Wang Le, Zhou Sanping, Tang Wei, and Hua Gang. Disentangled Sample Guidance Learning for Unsupervised Person Re-identification[J]. IEEE Transactions on Image Processing, 2024.
[70] Wu Qi, Zhou Sanping, Wang Le, Shi Liushuai, Dong Yonghao, and Hua Gang. End-to-end pedestrian trajectory prediction via Efficient Multi-modal Predictors[J]. Computer Vision and Image Understanding, 2024.
[69] Dong Yonghao, Wang Le, Zhou Sanping, Hua Gang, and Sun Changyin. Sparse Pedestrian Character Learning for Trajectory Prediction[J]. IEEE Transactions on Multimedia, 2024.
[68] Ji Haoxuanye, Wang Le, Zhou Sanping, Tang Wei, Zheng Nanning, and Hua Gang. Meta Pairwise Relationship Distillation for Unsupervised Person Re-identification[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024.
[67] Qin Zheng, Wang Le, Zhou Sanping, Fu Panpan, Hua Gang, and Tang Wei. Towards Generalizable Multi-Object Tracking[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024: 18995-19004.
[66] Yin Zhengdan, Zhou Sanping, Wang Le, Dai Tao, Hua Gang, and Zheng Nanning. Residual feature learning with hierarchical calibration for gaze estimation[J]. Machine Vision and Applications, 2024，35(4): 1-11.
[65] Li Yizhe, Zhou Sanping, Qin Zheng, Wang Le, Wang Jinjun, and Zheng Nanning. Single-Shot and Multi-Shot Feature Learning for Multi-Object Tracking[J]. IEEE Transactions on Multimedia, 2024.
[64] Kang Miao, Wang Shengqi, Zhou Sanping, Ye Ke, Jiang Jingjing, and Zheng Nanning. FFINet: Future Feedback Interaction Network for Motion Forecasting[J]. IEEE Transactions on Intelligent Transportation Systems, 2024.
[63] Huang Yuhao, Zhou Sanping, Zhang Junjie, Dong Jinpeng, and Zheng Nanning. Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection[C]//Proceedings of the AAAI Conference on Artificial Intelligence, 2024, 38(3): 2426-2435.
[62] Wu Pengfei, Wang Le, Zhou Sanping, Hua Gang, and Sun Changyin. Temporal Correlation Vision Transformer for Video Person Re-Identification[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(6): 6083-6091.
[61] Huang Yuhao, Zhou Sanping, Yan Xinrui, and Zheng Nanning. KPDet: Keypoint-based 3D object detection with Parametric Radius Learning[J]. Neurocomputing, 2024, 572: 127171.
[60] Niu Ye, Zhou Sanping, Dong Yonghao, Wang Le, Wang Jinjun, and Zheng Nanning. Bidirectional feature learning network for RGB-D salient object detection[J]. Pattern Recognition, 2024: 110304.
[59] Ji Haoxuanye, Wang Le, Zhou Sanping, Tang Wei, Zheng Nanning, and Hua Gang. Transfer easy to hard: Adversarial contrastive feature learning for unsupervised person re-identification[J]. Pattern Recognition, 2024, 145: 109973.
[58] Huang Wenli, Deng Ye, Hui Siqi, Wu Yang, Zhou Sanping, and Wang Jinjun. Sparse self-attention transformer for image inpainting[J]. Pattern Recognition, 2024, 145: 109897.
2023
[57] Shi Haoyue, Wang Le, Zhou Sanping, Hua Gang, Tang Wei. Abnormal Ratios Guided Multi-Phase Self-Training for Weakly-Supervised Video Anomaly Detection[J]. IEEE Transactions on Multimedia, 2023.
[56] Deng Ye, Hui Siqi, Zhou Sanping, Huang Wenli, and Wang Jinjun. Context Adaptive Network for Image Inpainting[J]. IEEE Transactions on Image Processing, 2023.
[55] Wu Yuxuan, Wang Le, Zhou Sanping, Duan Jinghai, Hua Gang, and Tang Wei. Multi-stream representation learning for pedestrian trajectory prediction[C]// Proceedings of the AAAI Conference on Artificial Intelligence. 2023, 37(3): 2875-2882.
[54] Wang Le, Tian Junwen, Zhou Sanping, Shi Haoyue, and Hua Gang. Memory-augmented appearance-motion network for video anomaly detection[J]. Pattern Recognition, 2023, 138: 109335.
[53] Shi Liushuai, Wang Le, Long Chengjiang, Zhou Sanping, Tang Wei, Zheng Nanning, and Hua Gang. Representing multimodal behaviors with mean location for pedestrian trajectory prediction[J]. IEEE transactions on Pattern Analysis and Machine Intelligence, 2023.
[52] Xia Kun, Wang Le, Shen Yichao, Zhou Sanping, Hua Gang. and Tang Wei. Exploring action centers for temporal action localization[J]. IEEE Transactions on Multimedia, 2023.
[51] Zhou Sanping, Wang Jinjun, Wang Le, Wan Xingyu, Hui Siqi, and Zheng Nanning. Inverse Adversarial Diversity Learning for Network Ensemble[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023.
[50] Dong Yonghao, Wang Le, Zhou Sanping, and Hua Gang. Sparse instance conditioned multimodal trajectory prediction[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023: 9763-9772.
[49] Shi Liushuai, Wang Le, Zhou Sanping, and Hua Gang. Trajectory unified transformer for pedestrian trajectory prediction[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023: 9675-9684.
[48] Liu Xingyu, Zhou Sanping, Wang Le, and Hua Gang. Parallel attention interaction network for few-shot skeleton-based action recognition[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023: 1379-1388.
[47] Xia Kun, Wang Le, Zhou Sanping, Hua Gang, and Tang Wei. Learning from noisy pseudo labels for semi-supervised temporal action localization[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023: 10160-10169.
[46] Qin Zheng, Zhou Sanping, Wang Le, Duan Jinghai, Hua Gang, and Tang Wei. Motiontrack: Learning robust short-term and long-term motions for multi-object tracking[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023: 17939-17948.
[45] Shen Yanqing, Zhou Sanping, Fu Jingwen, Wang Ruotong, Chen Shitao, and Zheng Nanning. Structvpr: Distill structural knowledge with weighting samples for visual place recognition[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023: 11217-11226.
2022
[44] Wang Le, Liu Hongzhen, Zhou Sanping, Tang Wei, and Hua Gang. Instance motion tendency learning for video panoptic segmentation[J]. IEEE Transactions on Image Processing, 2022, 32: 764-778.
[43] Song Xingchen, Kang Miao. Zhou Sanping. Wang Jianji, Mao Yishu, and Zheng Nanning. Pedestrian Intention Prediction Based on Traffic-Aware Scene Graph Model[C]// IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022: 9851-9858.
[42] Deng Ye, Hui Siqi, Meng Rongye, Zhou Sanping, and Wang Jinjun. Hourglass attention network for image inpainting[C]//European Conference on Computer Vision, 2022: 483-501.
[41] Deng Ye, Hui Siqi, Zhou Sanping, Meng Deyu, and Wang Jinjun. T-former: an efficient transformer for image inpainting[C]//Proceedings of the 30th ACM International Conference on Multimedia, 2022: 6559-6568.
[40] Feng Xuelu, Zhou Sanping, Zhu Zixin, Wang Le, and Hua Gang. Local to global feature learning for salient object detection[J]. Pattern Recognition Letters, 2022, 162: 81-88.
[39] Kang Miao, Fu Jingwen, Zhou Sanping, Zhang Songyi, Zheng Nanning. Learning to predict diverse trajectory from human motion patterns[J]. Neurocomputing, 2022, 504: 123-131.
[38] Xia Kun, Wang Le, Zhou Sanping, Hua Gang, and Tang Wei. Dual relation network for temporal action localization[J]. Pattern Recognition, 2022, 129: 108725.
[37] Duan Jinghai, Wang Le, Long Chengjiang, Zhou Sanping, Zheng Fang, Shi Liushuai, and Hua, Gang. Complementary attention gated network for pedestrian trajectory prediction[C]//Proceedings of the AAAI Conference on Artificial Intelligence, 2022, 36(1): 542-550.
[36] Shi Liushuai, Wang Le, Long Chengjiang, Zhou Sanping, Zheng Fang, Zheng Nanning, and Hua Gang. Social interpretable tree for pedestrian trajectory prediction[C]//Proceedings of the AAAI Conference on Artificial Intelligence, 2022, 36(2): 2235-2243.
[35] Xia Kun, Wang Le, Zhou Sanping, Zheng Nanning, and Tang Wei. Learning to refactor action and co-occurrence features for temporal action localization[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022: 13884-13893.
[34] Wang Ruotong, Shen Yanqing, Zuo Weiliang, Zhou Sanping, and Zheng Nanning. Transvpr: Transformer-based place recognition with multi-level attention aggregation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022: 13648-13657.
2021
[33] Cai Qing, Liu Huiying, Qian Yiming, Zhou Sanping, Wang Jinjun, and Yang Yee-Hong. A novel hybrid level set model for non-rigid object contour tracking[J]. IEEE Transactions on Image Processing, 2021, 31: 15-29.
[32] Wang Le, Li Qing, Zhou Sanping, and Zheng Nanning. Multi-Panda Tracking[J]. IEEE Transactions on Multimedia, 2021, 25: 706-720.
[31] Cai Qing, Qian Yiming, Zhou Sanping, Li Jinxing, Yang Yee-Hong, Wu Feng, and Zhang David. AVLSM: Adaptive variational level set model for image segmentation in the presence of severe intensity inhomogeneity and high noise[J]. IEEE Transactions on Image Processing, 2021, 31: 43-57.
[30] Deng Ye, Hui Siqi, Zhou Sanping, Meng Deyu, and Wang Jinjun. Learning contextual transformer network for image inpainting[C]//Proceedings of the 29th ACM International Conference on Multimedia, 2021: 2529-2538.
[29] Wan Xingyu, Zhou Sanping, Wang Jinjun, and Meng Rongye. Multiple object tracking by trajectory map regression with temporal priors embedding[C]//Proceedings of the 29th ACM International Conference on Multimedia, 2021: 1377-1386.
[28] Nan Zhixiong, Jiang Jingjing, Gao Xiaofeng, Zhou Sanping, Zuo Weiliang, Wei Ping, and Zheng Nanning. Predicting task-driven attention via integrating bottom-up stimulus and top-down guidance[J]. IEEE Transactions on Image Processing, 2021, 30: 8293-8305.
[27] Wan Xingyu, Cao Jiakai, Zhou Sanping, Wang Jinjun, and Zheng Nanning. Tracking beyond detection: learning a global response map for end-to-end multi-object tracking[J]. IEEE Transactions on Image Processing, 2021, 30: 8222-8235.
[26] Zhang Qindong, Zhou Sanping, and Wang Jinjun. Learning generic feature representations with adversarial regularization for person re-identification[C]//IEEE International Conference on Image Processing, 2021: 2358-2362.
[25] Liang Yudong, Timofte Radu, Wang Jinjun, Zhou Sanping, Gong Yihong, and Zheng Nanning. Single-Image super-resolution-When model adaptation matters[J]. Pattern Recognition, 2021, 116: 107931.
[24] Zhou Sanping, Wang Jinjun, Shu Jun, Meng Deyu, Wang Le, and Zheng Nanning. Multinetwork collaborative feature learning for semisupervised person reidentification[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 33(9): 4826-4839.
[23] Ji Haoxuanye, Wang Le, Zhou Sanping, Tang Wei, Zheng Nanning, and Hua Gang. Meta pairwise relationship distillation for unsupervised person re-identification[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021: 3661-3670.
[22] Zheng Fang, Wang Le, Zhou Sanping, Tang Wei, Niu Zhenxing, Zheng Nanning, and Hua Gang. Unlimited neighborhood interaction for heterogeneous trajectory prediction[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021: 13168-13177.
[21] Shi Liushuai, Wang Le, Long Chengjiang, Zhou Sanping, Zhou Mo, Niu, Zhenxing, and Hua Gang. SGCN: Sparse graph convolution network for pedestrian trajectory prediction[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021: 8994-9003.
2020
[20] Zhou Sanping, Wang Jinjun, Wang Le, Zhang Jimuyang, Wang Fei, Huang Dong, and Zheng Nanning. Hierarchical and interactive refinement network for edge-preserving salient object detection[J]. IEEE Transactions on Image Processing, 2020, 30: 1-14.
[19] Zhou Sanping, Wang Jinjun, Zhang Jimuyang, Wang Le, Huang Dong, Du Shaoyi, and Zheng Nanning. Hierarchical U-shape attention network for salient object detection[J]. IEEE Transactions on Image Processing, 2020, 29: 8417-8428.
[18] Wang Jixin, Zhou Sanping, Fang Chaowei, Wang Le, and Wang Jinjun. Meta corrupted pixels mining for medical image segmentation[C]//Medical Image Computing and Computer Assisted Intervention, 2020: 335-345.
2019
[17] Cai Qing, Liu Huiying, Qian Yiming, Zhou Sanping, Duan Xiaojun, and Yang Yee-Hong. Saliency-guided level set model for automatic object segmentation[J]. Pattern Recognition, 2019, 93: 147-163.
[16] Xin Xiaomeng, Wang Jinjun, Xie Ruji, Zhou Sanping, Huang Wenli, and Zheng Nanning. Semi-supervised person re-identification using multi-view clustering[J]. Pattern Recognition, 2019, 88: 285-297.
[15] Zhou Sanping, Wang Jinjun, Meng Deyu, Liang Yudong, Gong Yihong, and Zheng Nanning. Discriminative feature learning with foreground attention for person re-identification[J]. IEEE Transactions on Image Processing, 2019, 28(9): 4671-4684.
[14] Zhou Sanping, Wang Fei, Huang Zeyi, and Wang Jinjun. Discriminative feature learning with consistent attention regularization for person re-identification[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019: 8040-8049.
[13] Shu Jun, Xie Qi, Yi Lixuan, Zhao Qian, Zhou Sanping, Xu Zongben, and Meng Deyu. Meta-weight-net: Learning an explicit mapping for sample weighting[J]. Advances in Neural Information Processing Systems, 2019, 32.
[12] Wang Fei, Zhou Sanping, Panev Stanislav, Han Jinsong, and Huang Dong. Person-in-WiFi: Fine-grained person perception using WiFi[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019: 5452-5461.
2018
[11] Cai Qing, Liu Huiying, Zhou Sanping, Sun Jingfeng, and Li Jing. An adaptive-scale active contour model for inhomogeneous image segmentation and bias field estimation[J]. Pattern Recognition, 2018, 82: 79-93.
[10] Bai Ruibin, Zhao Qing, Zhou Sanping, Li, Yubing, Zhao Xueji, and Wang Jinjun. Continuous action recognition and segmentation in untrimmed videos[C]//International Conference on Pattern Recognition, 2018: 2534-2539.
[9] Zhou Sanping, Wang Jinjun, Meng Deyu, Xin Xiaomeng, Li Yubing, Gong Yihong, and Zheng Nanning. Deep self-paced learning for person re-identification[J]. Pattern Recognition, 2018, 76: 739-751.
[8] Hou Qiqi, Wang Jinjun, Bai Ruibin, Zhou Sanping, and Gong Yihong. Face alignment recurrent network[J]. Pattern Recognition, 2018, 74: 448-458.
[7] Wang Jiayun, Zhou Sanping, Wang Jinjun, and Hou Qiqi. Deep ranking model by large adaptive margin learning for person re-identification[J]. Pattern Recognition, 2018, 74: 241-252.
2017
[6] Zhou Sanping, Wang Jinjun, Shi Rui, Hou Qiqi, Gong Yihong, and Zheng Nanning. Large margin learning in set-to-set similarity comparison for person reidentification[J]. IEEE Transactions on Multimedia, 2017, 20(3): 593-604.
[5] Zhou Sanping, Wang Jinjun, Zhang Mengmeng, Cai Qing, and Gong Yihong. Correntropy-based level set method for medical image segmentation and bias correction[J]. Neurocomputing, 2017, 234: 216-229.
[4] Zhou Sanping, Wang Jinjun, Wang Jiayun, Gong Yihong, and Zheng Nanning. Point to set similarity based deep feature learning for person re-identification[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017: 3741-3750.
2016
[3] Liang Yudong, Wang Jinjun, Zhou Sanping, Gong Yihong, and Zheng Nanning. Incorporating image priors with deep convolutional neural networks for image super-resolution[J]. Neurocomputing, 2016, 194: 340-347.
[2] Zhou Sanping, Wang Jinjun, Zhang Shun, Liang Yudong, and Gong Yihong. Active contour model based on local and global intensity information for medical image segmentation[J]. Neurocomputing, 2016, 186: 107-118.
[1] Cheng De, Gong Yihong, Zhou Sanping, Wang Jinjun, and Zheng Nanning. Person re-identification by multi-channel parts-based cnn with improved triplet loss function[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016.
