| Semantic flow for fast and accurate scene parsing X Li, A You, Z Zhu, H Zhao, M Yang, K Yang, S Tan, Y Tong ECCV (oral), 2020 | 422 | 2020 |
| Involution: Inverting the Inherence of Convolution for Visual Recognition D Li, J Hu, C Wang, X Li, Q She, L Zhu, T Zhang, Q Chen CVPR, 2021 | 358 | 2021 |
| Improving semantic segmentation via decoupled body and edge supervision X Li, X Li, L Zhang, G Cheng, J Shi, Z Lin, S Tan, Y Tong ECCV, 2020 | 291 | 2020 |
| Dual graph convolutional network for semantic segmentation L Zhang*, X Li*, A Arnab, K Yang, Y Tong, PHS Torr BMVC, 2019 | 229 | 2019 |
| Gated Fully Fusion for Semantic Segmentation X Li, H Zhao, L Han, Y Tong, S Tan, K Yang AAAI (oral), 2020 | 215 | 2020 |
| PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation X Li, H He, X Li, G Cheng, J Shi, L Weng, Y Tong, Z Lin CVPR, 2021 | 105 | 2021 |
| TransVOD: end-to-end video object detection with spatial-temporal transformers Q Zhou*, X Li*, L He, Y Yang, G Cheng, Y Tong, L Ma, D Tao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 102 | 2022 |
| End-to-end video object detection with spatial-temporal transformers L He, Q Zhou, X Li, L Niu, G Cheng, X Li, W Liu, Y Tong, L Ma, L Zhang ACM-MM, 2021 | 91 | 2021 |
| Global aggregation then local distribution for scene parsing X Li, L Zhang, G Cheng, K Yang, Y Tong, X Zhu, T Xiang IEEE-TIP, 2021 | 87* | 2021 |
| Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning Y Yang, H Yuan, X Li, Z Lin, P Torr, D Tao ICLR-spotlight, 2023 | 77 | 2023 |
| Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? Y Yang, S Chen, X Li, L Xie, Z Lin, D Tao NeurIPS, 2022 | 77 | 2022 |
| Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation X Li, W Zhang, J Pang, K Chen, G Cheng, Y Tong, CC Loy CVPR (oral), 2022 | 75 | 2022 |
| RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation P Lu, T Jiang, Y Li, X Li, K Chen, W Yang CVPR, 2024 | 62* | 2024 |
| Enhanced Boundary Learning for Glass-like Object Segmentation H He*, X Li*, G Cheng, J Shi, Y Tong, G Meng, V Prinet, L Weng ICCV, 2021 | 62 | 2021 |
| Rethinking mobile block for efficient neural models J Zhang, X Li, J Li, L Liu, Z Xue, B Zhang, Z Jiang, T Huang, Y Wang, ... ICCV, 2023 | 60* | 2023 |
| Towards Open Vocabulary Learning: A Survey J Wu, X Li, S Xu, H Yuan, H Ding, Y Yang, X Li, J Zhang, Y Tong, X Jiang, ... T-PAMI, 2024 | 55 | 2024 |
| Transformer-based visual segmentation: A survey X Li, H Ding, H Yuan, W Zhang, J Pang, G Cheng, K Chen, Z Liu, CC Loy arXiv preprint arXiv:2304.09854, 2023 | 55 | 2023 |
| Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation X Li, S Xu, G Cheng, Y Yibo, Y Tong, D Tao ECCV, 2022 | 36 | 2022 |
| Multi-Task Learning with Multi-query Transformer for Dense Prediction Y Xu*, X Li*, H Yuan, Y Yang, J Zhang, Y Tong, L Zhang, D Tao IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 34 | 2023 |
| Tube-link: A flexible cross tube baseline for universal video segmentation X Li, H Yuan, W Zhang, G Cheng, J Pang, CC Loy ICCV, 2023 | 33* | 2023 |
Yunhai TongPeking University在 pku.edu.cn 的电子邮件经过验证
