| The Visual Object Tracking VOT2013 challenge results M Kristan, R Pflugfelder, A Leonardis, J Matas, F Porikli, A Khajenezhad, ... Visual Object Tracking 2013 challenge, 2013 | 1510* | 2013 |
| Co-occurrence feature learning for skeleton based action recognition using regularized deep lstm networks W Zhu, C Lan, J Xing, W Zeng, Y Li, L Shen, X Xie AAAI Conference on Artificial Intelligence, 3697-3703, 2016 | 506 | 2016 |
| Pose-driven deep convolutional model for person re-identification C Su, J Li, S Zhang, J Xing, W Gao, Q Tian Proceedings of the IEEE International Conference on Computer Vision, 2017 | 480 | 2017 |
| Transfer learning based visual tracking with gaussian processes regression J Gao, H Ling, W Hu, J Xing European conference on computer vision, 188-203, 2014 | 478 | 2014 |
| An end-to-end spatio-temporal attention model for human action recognition from skeleton data S Song, C Lan, J Xing, W Zeng, J Liu AAAI Conference on Artificial Intelligence, 2017 | 446 | 2017 |
| SiamRPN++: Evolution of Samese Visual Tracking with Very Deep Networks B Li, W Wu, Q Wang, F Zhang, J Xing, J Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 354 | 2019 |
| Deep attributes driven multi-camera person re-identification C Su, S Zhang, J Xing, W Gao, Q Tian European conference on computer vision, 475-491, 2016 | 320 | 2016 |
| Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses J Xing, H Ai, S Lao 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1200-1207, 2009 | 269 | 2009 |
| Multiple Object Tracking: A Literature Review W Luo, J Xing, X Zhang, X Zhao, TK Kim arXiv preprint arXiv:1409.7618, 2014 | 258* | 2014 |
| Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking Q Wang, Z Teng, J Xing, J Gao, W Hu, S Maybank Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 233 | 2018 |
| View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data P Zhang, C Lan, J Xing, W Zeng, J Xue, N Zheng Proceedings of the IEEE International Conference on Computer Vision, 2017 | 208 | 2017 |
| DCFNet: Discriminant Correlation Filters Network for Visual Tracking Q Wang, J Gao, J Xing, M Zhang, W Hu arXiv preprint arXiv:1704.04057, 2017 | 184 | 2017 |
| Robust facial landmark detection via recurrent attentive-refinement networks S Xiao, J Feng, J Xing, H Lai, S Yan, A Kassim European conference on computer vision, 57-72, 2016 | 173 | 2016 |
| A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection J Lv, X Shao, J Xing, C Cheng, X Zhou Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 154 | 2017 |
| Multiple Player Tracking in Sports Video: A Dual-Mode Two-Way Bayesian Inference Approach with Progressive Observation Modeling J Xing, H Ai, L Liu, S Lao IEEE Transactions on Image Processing 20 (6), 1652-1667, 2011 | 120 | 2011 |
| Online human action detection using joint classification-regression recurrent neural networks Y Li, C Lan, J Xing, W Zeng, C Yuan, J Liu European Conference on Computer Vision, 203-220, 2016 | 119 | 2016 |
| Towards Pose Invariant Face Recognition in the Wild J Zhao, Y Cheng, Y Xu, L Xiong, J Li, F Zhao, K Jayashree, S Pranata, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 98 | 2018 |
| Wow! you are so beautiful today! L Liu, J Xing, S Liu, H Xu, X Zhou, S Yan ACM Transactions on Multimedia Computing, Communications, and Applications …, 2014 | 88 | 2014 |
| Robust Object Tracking with Online Multi-lifespan Dictionary Learning J Xing, J Gao, B Li, W Hu, S Yan 2013 International Conference on Computer Vision (ICCV), 665-672, 2013 | 82 | 2013 |
| View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition P Zeng, C Lan, J Xing, W Zeng, J Xue, N Zheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 69 | 2019 |
Weiming HuNLPREmail verificata su nlpr.ia.ac.cn
