| FcaNet: Frequency Channel Attention Networks Z Qin, P Zhang, F Wu, X Li IEEE International Conference on Computer Vision, 2021 | 1441 | 2021 |
| Deeply-Learned Part-Aligned Representations for Person Re-Identification L Zhao, X Li, J Wang, Y Zhuang International Conference on Computer Vision, 2017 | 973 | 2017 |
| 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 | 957 | 2013 |
| Ultra fast structure-aware deep lane detection Z Qin, H Wang, X Li European conference on computer vision, 276-291, 2020 | 674 | 2020 |
| 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 | 631 | 2016 |
| A Survey on Generative Adversarial Networks: Variants, Applications, and Training A Jabbar, X Li, B Omar ACM Computing Surveys, 2021 | 516 | 2021 |
| LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation G Zheng, X Zhou, Xianpan, Li, Z Qi, S Ying, X Li IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 322 | 2023 |
| 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 | 314 | 2020 |
| 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 | 303 | 2017 |
| Spatio-Temporal Graph Routing for Skeleton-based Action Recognition B Li, X Li, Z Zhang, F Wu AAAI Conference on Artificial Intelligence (AAAI), 2019 | 296 | 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 | 284* | 2019 |
| 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 | 284 | 2013 |
| 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 | 240 | 2021 |
| 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 | 220 | 2008 |
| A Review on Methods and Applications in Multimodal Deep Learning J Summaira, X Li, AM Shoib, J Abdul ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 216* | 2022 |
| Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification Z Qin, P Zhang, X Li IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 212 | 2022 |
| 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 | 206 | 2012 |
| 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 | 189 | 2019 |
| 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 | 186 | 2011 |
| 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 | 181 | 2007 |
Fei WuProfessor of Computer Science, Zhejiang UniversityVerified email at cs.zju.edu.cn
