2024

[82] 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.

[81] 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. 

[80] 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.

[80] 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.

[79] 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.

[78] 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.

[77] 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.

[76] 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.

[75] 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.

[74]  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.

[73] 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.

[72] Dong Yonghao, Wang Le, Zhou Sanping, Hua Gang, and Sun Changyin. Sparse Pedestrian Character Learning for Trajectory Prediction[J]. IEEE Transactions on Multimedia, 2024.

[71] 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.

[70] 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.

[69] 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.

[68] 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.

[67] 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.

[66] 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.

[65] 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.

[64] Huang Yuhao, Zhou Sanping, Yan Xinrui, and Zheng Nanning. KPDet: Keypoint-based 3D object detection with Parametric Radius Learning[J]. Neurocomputing, 2024, 572: 127171.

[63] 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.

[62] 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.

[61] 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

[60] 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.

[59] Li Pengna, Wu Kangyi, Zhou Sanping, Huang Qianxin, and Wang Jinjun. Pseudo labels refinement with intra-camera similarity for unsupervised person re-identification[C]//2023 IEEE International Conference on Image Processing (ICIP), 2023: 366-370.

[58] Lin Zewei, Shen Yanqing, Zhou Sanping, Chen Shitao, and Zheng Nanning. MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection[C]. International Conference on Artificial Neural Networks, 2023: 136-149.

[57] Deng Ye, Hui Siqi, Zhou Sanping, Huang Wenli, and Wang Jinjun. Context Adaptive Network for Image Inpainting[J]. IEEE Transactions on Image Processing, 2023.

[56] 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.

[55] Hu Yufeng, Zhou Sanping, Dong Jinpeng, and Zheng, Nanning. TEMI-MOT: Towards Efficient Multi-Modality Instance-Aware Feature Learning for 3D Multi-Object Tracking[C]//2023 International Joint Conference on Neural Networks (IJCNN). IEEE, 2023: 1-9.

[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.