2026
[129] Sun Xiaolong, Wang Zhitao, Zhou Sanping, Huo Hongcheng, Cheng Siyuan, Dong Yonghao, Shi Liushuai, Chen Yuxiang, and Wang Le. Continuous Masked Diffusion for Autonomous Driving[C]//ACM International Conference on Multimedia, 2026.
[128] Wang Yabing, Tian Zhuotao, Guo Qingpei, Qin Zheng, Zhou Sanping, Yang Ming, Sebe Nicu, and Wang Le. From Mapping to Composing: A Two-Stage Framework for Zero-shot Composed Image Retrieval[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2026.
[127] Niu Ye, Zhou Sanping, Li Yizhe, Deng Ye Deng, and Wang Le. Time-Unified Diffusion Policy with Action Discrimination for Robotic Manipulation[J]. Pattern Recognition, 2026.
[126] Wang Sen, Wang Le, Huo Hongcheng, Zhou Sanping, Xia Kun, and Hua Gang. Integrating Agglomerative Perception with One-step Action Generation for Robotic Manipulation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026.
[125] Wang Sen, Dong Huaiyi, Tian Jingyi, Li Jiayi, Yang Zhuo, Cao Tongtong, Chen Anlin, Wu Shuang, Wang Le, and Zhou Sanping. Efficient Camera Pose Augmentation for View Generalization in Robotic Policy Learning[C]//European Conference on Computer Vision, 2026.
[124] Yang Zhuo, Zhou Sanping, Wang Sen, Tian Jingyi, Li Jiayi, Hua Gang, and Wang Le. RAGrasp: A Retrieval-Augmented Framework with Diversity-Aware Modeling for Dexterous Grasp Generation[C]//European Conference on Computer Vision, 2026.
[123] Wang Haoyu, Wang Le, Zhou Sanping, Qin Zheng, Hua Gang, and Tang Wei. RAMP: Iterative Refinement and Adaptive Multi-granularity Perception for embodied dialog localization[J]. Pattern Recognition, 2026.
[122] Huang Wenli, Wu Yang, Zhou Sanping, Xin Xiaomeng, Jia Xiaobo, Yu Ping, and Deng Ye. DictCR-former: Content-aware dictionary transformer for cloud removal[J]. Pattern Recognition, 2026.
[121] Liu Zeyang, Wang Le, Zhou Sanping, Wu Yuxuan, Sun Xiaolong, Hua Gang, and Li Haoxiang. UniLayDiff: A Unified Diffusion Transformer for Content-Aware Layout Generation[C]//Proceedings of the Conference on Computer Vision and Pattern Recognition, 2026:4668-4677.
[120] Wang Yabing, Tian Zhuotao, Wang Le, Qin Zheng, and Zhou Sanping. Spatial Matters: Position-Guided 3D Referring Expression Segmentation[C]//Proceedings of the Conference on Computer Vision and Pattern Recognition, 2026: 39486-39496.
[119] Wu Yuxuan, Wang Le, Zhou Sanping, Ding Ning, and Hua Gang. Posterior Augmented CVAE for Pedestrian Trajectory Prediction with Momentary Observation[J]. IEEE Transactions on Multimedia, 2026.
[118] Dong Yonghao, Wang Le, Zhou Sanping, Hua Gang, and Sun Changyin. Pedestrian Trajectory Prediction via Hierarchical Dynamics Decomposition[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2026.
[117] Tang Canhui, Zhou Sanping, Li Yizhe, Dong Yonghao, and Wang Le. Advancing pre-trained teacher: towards robust feature discrepancy for anomaly detection[J]. IEEE Transactions on Image Processing, 2026.
[116] Xia Kun, Wang Le, Zhou Sanping, Hua Gang, and Tang Wei. Boosting semi-supervised temporal action localization by learning from non-target classes[J]. IEEE Transactions on Multimedia, 2026.
[115] Hui Siqi, Zhou Sanping, Deng Ye, Huang Wenli, Wu Yang, and Wang Jinjun. Frequency-guided generalizable representation learning for cross-domain few-shot learning[J]. Pattern Recognition, 2026.
[114] Li Yizhe, Zhou Sanping, Qin Zheng, and Le Wang. PR-DETR: Injecting position and relation prior for dense video captioning[J]. Pattern Recognition, 2026.
[113] Tang Canhui, Zhou Sanping, Shi Haoyue, and Wang Le. Action hints: Semantic typicality and context uniqueness for generalizable skeleton-based video anomaly detection[J]. Pattern Recognition, 2026.
[112] Song Xiaofan, Wang Le, Zhou Sanping, Sun Xiaolong, Liu Mengnan, Xia Kun, and Hua Gang. DiffLabel: Robust Pseudo Label Generation for Semi-Supervised Temporal Language Grounding[J]. IEEE Transactions on Multimedia, 2026.
[111] Shi Haoyue, Wang Le, Zhou Sanping, Hui Fei, Gao Zhanheng, Hua Gang, and Tang Wei. Structured Graph Reasoning for Traffic Anomaly Detection[J]. IEEE Transactions on Multimedia, 2026.
[110] Qin Zheng, Wang Le, Wang Yabing, Zhou Sanping, Hua Gang, and Tang Wei. RSRNav: Reasoning Spatial Relationship for Image-Goal Navigation[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2026.
[109] Zhang Jinlong, Zhou Sanping, Deng Ye, and Wang Le. Adaptive Receptive Field Network for Small Objects Detection in Remote Sensing Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2026.
[108] Song Zixuan, Li Yizhe, Zhou Sanping, Tang Wei, and Wang Le. MoDe-Track: Robust Multi-Object Tracking With Motion Decoupling in UAV Videos[J]. IEEE Transactions on Multimedia, 2026.
[107] Tang Canhui, Han Zifan, Sun Hongbo, Zhou Sanping, Zhang Xuchong, Wei Xin, Yuan Ye, Zhang Huayu, Xu Jinglin, and Sun Hao. TSPO: Temporal sampling policy optimization for long-form video language understanding[C]//Proceedings of the AAAI Conference on Artificial Intelligence, 2026, 40(11): 9368-9376.
[106] Kang Miao, Shi Liushuai, Ye Ke, Zhou Sanping, and Zheng Nanning. Query-enhanced motion transformer with dilated static query and bridged dynamic query[J]. Pattern Recognition, 2026.
2025
[105] Tian Jingyi, Wang Le, Zhou Sanping, Wang Sen, Li Jiayi, and Hua Gang. DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation[J]. Advances in Neural Information Processing Systems, 2025.
[104] Wang Sen, Tian Jingyi, Wang Le, Liao Zhimin, Li Jiayi, Dong Huaiyi, Xia Kun, Zhou Sanping, Tang Wei, and Gang Hua. SAMPO: Scale-wise Autoregression with Motion Prompt for Generative World Models[J]. Advances in Neural Information Processing Systems, 2025.
[103] Wu Yuxuan, Wang Le, Zhou Sanping, Ding Ning, and Hua Gang. Posterior Augmented CVAE for Pedestrian Trajectory Prediction with Momentary Observation[J]. IEEE Transactions on Multimedia, 2025.
[102] Xia Kun, Wang Le, Zhou Sanping, Hua Gang, and Tang Wei. Boosting Semi-Supervised Temporal Action Localization by Learning from Non-Target Classes[J]. IEEE Transactions on Multimedia, 2025.
[101] Qin Zheng, Zheng Ruobing, Wang Yabing, Li Tianqi, Zhu Zixin, Zhou Sanping, Yang Ming, and Wang Le. Versatile multimodal controls for expressive talking human animation[C]//Proceedings of the 33rd ACM International Conference on Multimedia,2025: 8253-8262.
[100] Dong Jinpeng, Zhou Sanping, Hu Yufeng, Huang Yuhao, Jiang Jingjing, Zuo Weiliang, Chen Shitao, and Zheng Nanning. MonoA2: Adaptive Depth with Augmented Head for Monocular 3D Object Detection[J]. Pattern Recognition, 2025.
[99] Shi Liushuai, Wang Le, Zhou Sanping, Tang Wei, and Hua Gang. Sparse Trajectory Prediction[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
[98] Sun Xiaolong, Wang Le, Zhou Sanping, Shi Liushuai, Xia Kun, Liu Mengnan, Wang Yabing, and Hua Gang. Moment Quantization for Video Temporal Grounding[C]//Proceedings of IEEE/CVF International Conference on Computer Vision, 2025: 20137-20146.
[97] Cao Mang, Zhou Sanping, Li Yizhe, Deng Ye, Huang Wenli, and Wang Le. Enhancing Mamba Decoder with Bidirectional Interaction in Multi-Task Dense Prediction[C]//Proceedings of IEEE/CVF International Conference on Computer Vision, 2025: 18815-18824.
[96] Liu Yuhan, Fu Jingwen, Wu Yang, Wu Kangyi, Li Pengna, Wu Jiayi, Zhou Sanping, and Xin Jingmin. Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching[C]//Proceedings of IEEE/CVF International Conference on Computer Vision, 2025: 20313-20323.
[95] Su Haisheng, Zhang Junjie, Song Feixiang, Zhou Sanping, Wu Wei, Yan Junchi, and Zheng Nanning. FreqPDE: Rethinking Positional Depth Embedding for Multi-View 3D Object Detection Transformers[C]//Proceedings of IEEE/CVF International Conference on Computer Vision, 2025: 28145-28155.
[94] Dong Jinpeng, Li Chen, Lin Yutong, Fu Jingwen, Zhou Sanping, and Zheng, Nanning. DAMap: Distance-aware MapNet for High Quality HD Map Construction[C]//Proceedings of IEEE/CVF International Conference on Computer Vision, 2025: 5285-5294.
[93] Dong Yonghao, Wang Le, Zhou Sanping, Tang Wei, Hua Gang, and Sun Changyin. 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.