| A survey of appearance models in visual object tracking X Li, W Hu, C Shen, Z Zhang, A Dick, AVD Hengel ACM transactions on Intelligent Systems and Technology (TIST) 4 (4), 1-48, 2013 | 934 | 2013 |
| Deeply-Learned Part-Aligned Representations for Person Re-Identification L Zhao, X Li, J Wang, Y Zhuang International Conference on Computer Vision, 2017 | 921 | 2017 |
| FcaNet: Frequency Channel Attention Networks Z Qin, P Zhang, F Wu, X Li IEEE International Conference on Computer Vision, 2021 | 873 | 2021 |
| Deepsaliency: Multi-task deep neural network model for salient object detection X Li, L Zhao, L Wei, MH Yang, F Wu, Y Zhuang, H Ling, J Wang IEEE transactions on image processing 25 (8), 3919-3930, 2016 | 603 | 2016 |
| Ultra fast structure-aware deep lane detection Z Qin, H Wang, X Li Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 467 | 2020 |
| A Survey on Generative Adversarial Networks: Variants, Applications, and Training A Jabbar, X Li, B Omar ACM Computing Surveys, 2021 | 336 | 2021 |
| Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality Z Qi, T Wang, G Song, W Hu, X Li IEEE Transactions on Knowledge and Data Engineering, 2017 | 270 | 2017 |
| Contextual hypergraph modeling for salient object detection X Li, Y Li, C Shen, A Dick, A Van Den Hengel Proceedings of the IEEE international conference on computer vision, 3328-3335, 2013 | 265 | 2013 |
| Spatio-Temporal Graph Routing for Skeleton-based Action Recognition B Li, X Li, Z Zhang, F Wu AAAI Conference on Artificial Intelligence (AAAI), 2019 | 264 | 2019 |
| Learning A Key-Value Memory Co-Attention Matching Network for Person ReIdentification Y Zhang, X Li, Z Zhang AAAI Conference on Artificial Intelligence (AAAI), 2019 | 254* | 2019 |
| Sequential particle swarm optimization for visual tracking X Zhang, W Hu, S Maybank, X Li, M Zhu 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008 | 219 | 2008 |
| Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion P Sun, W Zhang, H Wang, S Li, X Li CVPR 2021 Oral, 2021 | 197 | 2021 |
| Single and Multiple Object Tracking Using Log-Euclidean Riemannian Subspace and Block-Division Appearance Model W Hu, X Li, W Luo, X Zhang, S Maybank, Z Zhang Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1-1, 2012 | 196 | 2012 |
| Incremental tensor subspace learning and its applications to foreground segmentation and tracking W Hu, X Li, X Zhang, X Shi, S Maybank, Z Zhang International Journal of Computer Vision, 1-25, 2011 | 179 | 2011 |
| Towards a new generation of artificial intelligence in China F Wu, C Lu, M Zhu, H Chen, J Zhu, K Yu, L Li, M Li, Q Chen, X Li, X Cao, ... Nature Machine Intelligence 2 (6), 312-316, 2020 | 173 | 2020 |
| Visual tracking via incremental log-Euclidean Riemannian subspace learning X Li, W Hu, Z Zhang, X Zhang, M Zhu, J Cheng Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008 | 172 | 2008 |
| Robust visual tracking based on incremental tensor subspace learning X Li, W Hu, Z Zhang, X Zhang, G Luo 2007 IEEE 11th international conference on computer vision, 1-8, 2007 | 168 | 2007 |
| Deep Q learning driven CT pancreas segmentation with geometry-aware U-Net Y Man, Y Huang, J Feng, X Li, F Wu IEEE transactions on medical imaging 38 (8), 1971-1980, 2019 | 160 | 2019 |
| Learning hash functions using column generation X Li, G Lin, C Shen, A Hengel, A Dick International Conference on Machine Learning, 2013 | 159 | 2013 |
| Adaptive Graph Representation Learning for Video Person Re-identification Y Wu, OEF Bourahla, X Li, F Wu, Q Tian IEEE Transactions on Image Processing, 2020 | 141 | 2020 |
Zhongfei (Mark) ZhangProfessor of comuter science, Binghamton UniversityVerified email at binghamton.edu
