| Pyramid vision transformer: A versatile backbone for dense prediction without convolutions W Wang, E Xie, X Li, DP Fan, K Song, D Liang, T Lu, P Luo, L Shao ICCV, 2021 | 6284 | 2021 |
| Selective kernel networks X Li, W Wang, X Hu, J Yang CVPR, 510-519, 2019 | 3736 | 2019 |
| PVT v2: Improved baselines with Pyramid Vision Transformer W Wang, E Xie, X Li, D Fan, K Song, D Liang, T Lu, P Luo, L Shao Computational Visual Media, 1-10, 2021 | 2498 | 2021 |
| Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection X Li, W Wang, L Wu, S Chen, X Hu, J Li, J Tang, J Yang NeurIPS, 2020 | 2104 | 2020 |
| Shape robust text detection with progressive scale expansion network W Wang, E Xie, X Li, W Hou, T Lu, G Yu, S Shao CVPR, 9336-9345, 2019 | 995 | 2019 |
| Large Selective Kernel Network for Remote Sensing Object Detection Y Li, Q Hou, Z Zheng, MM Cheng, J Yang, X Li ICCV, 2023 | 829 | 2023 |
| Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal J Wang, X Li, J Yang CVPR, 1788-1797, 2018 | 617 | 2018 |
| Understanding the disharmony between dropout and batch normalization by variance shift X Li, S Chen, X Hu, J Yang CVPR, 2682-2690, 2019 | 433 | 2019 |
| Line-CNN: End-to-End Traffic line detection with line proposal unit X Li, J Li, X Hu, J Yang IEEE Transactions on Intelligent Transportation Systems 21 (1), 248-258, 2020 | 394 | 2020 |
| Spatial group-wise enhance: Improving semantic feature learning in convolutional networks X Li, X Hu, J Yang arXiv preprint arXiv:1905.09646, 2019 | 391 | 2019 |
| Generalized focal loss v2: Learning reliable localization quality estimation for dense object detection X Li, W Wang, X Hu, J Li, J Tang, J Yang CVPR, 11632-11641, 2021 | 390 | 2021 |
| Curriculum temperature for knowledge distillation Z Li, X Li, L Yang, B Zhao, R Song, L Luo, J Li, J Yang AAAI 37 (2), 1504-1512, 2023 | 298 | 2023 |
| Joint task-recursive learning for semantic segmentation and depth estimation Z Zhang, Z Cui, C Xu, Z Jie, X Li, J Yang ECCV, 235-251, 2018 | 284 | 2018 |
| Generalized focal loss: Towards efficient representation learning for dense object detection X Li, C Lv, W Wang, G Li, L Yang, J Yang TPAMI 45 (3), 3139-3153, 2023 | 275 | 2023 |
| YOLO-MS: Rethinking multi-scale representation learning for real-time object detection Y Chen, X Yuan, J Wang, R Wu, X Li, Q Hou, MM Cheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 224 | 2025 |
| Pan++: Towards efficient and accurate end-to-end spotting of arbitrarily-shaped text W Wang, E Xie, X Li, X Liu, D Liang, Z Yang, T Lu, C Shen IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5349-5367, 2021 | 216 | 2021 |
| Openvid-1m: A large-scale high-quality dataset for text-to-video generation K Nan, R Xie, P Zhou, T Fan, Z Yang, Z Chen, X Li, J Yang, Y Tai arXiv preprint arXiv:2407.02371, 2024 | 190 | 2024 |
| RigNet: Repetitive image guided network for depth completion Z Yan, K Wang, X Li, Z Zhang, J Li, J Yang European Conference on Computer Vision, 214-230, 2022 | 190 | 2022 |
| Pseco: Pseudo labeling and consistency training for semi-supervised object detection G Li, X Li, Y Wang, Y Wu, D Liang, S Zhang ECCV, 457-472, 2022 | 172 | 2022 |
| One-stage cascade refinement networks for infrared small target detection Y Dai, X Li, F Zhou, Y Qian, Y Chen, J Yang IEEE transactions on geoscience and remote sensing 61, 1-17, 2023 | 138 | 2023 |
Jian YangProf. of Computer Science, Nanjing University of Science and TechnologyVerified email at njust.edu.cn
