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| Sparse r-cnn: End-to-end object detection with learnable proposals P Sun, R Zhang, Y Jiang, T Kong, C Xu, W Zhan, M Tomizuka, L Li, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 1304 | 2021 |
| Transtrack: Multiple object tracking with transformer P Sun, J Cao, Y Jiang, R Zhang, E Xie, Z Yuan, C Wang, P Luo arXiv preprint arXiv:2012.15460, 2020 | 648 | 2020 |
| Focal and global knowledge distillation for detectors Z Yang, Z Li, X Jiang, Y Gong, Z Yuan, D Zhao, C Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 291 | 2022 |
| Exploring balanced feature spaces for representation learning B Kang, Y Li, S Xie, Z Yuan, J Feng International conference on learning representations, 2020 | 284 | 2020 |
| Dancetrack: Multi-object tracking in uniform appearance and diverse motion P Sun, J Cao, Y Jiang, Z Yuan, S Bai, K Kitani, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 268 | 2022 |
| Masked generative distillation Z Yang, Z Li, M Shao, D Shi, Z Yuan, C Yuan European Conference on Computer Vision, 53-69, 2022 | 190 | 2022 |
| Temporal action localization by structured maximal sums Z Yuan, JC Stroud, T Lu, J Deng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 173 | 2017 |
| Towards grand unification of object tracking B Yan, Y Jiang, P Sun, D Wang, Z Yuan, P Luo, H Lu European Conference on Computer Vision, 733-751, 2022 | 159 | 2022 |
| Language as queries for referring video object segmentation J Wu, Y Jiang, P Sun, Z Yuan, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 148 | 2022 |
| Universal instance perception as object discovery and retrieval B Yan, Y Jiang, J Wu, D Wang, P Luo, Z Yuan, H Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 144 | 2023 |
| Designing bert for convolutional networks: Sparse and hierarchical masked modeling K Tian, Y Jiang, Q Diao, C Lin, L Wang, Z Yuan arXiv preprint arXiv:2301.03580, 2023 | 106 | 2023 |
| What makes for end-to-end object detection? P Sun, Y Jiang, E Xie, W Shao, Z Yuan, C Wang, P Luo International Conference on Machine Learning, 9934-9944, 2021 | 104 | 2021 |
| Disentangled contrastive learning on graphs H Li, X Wang, Z Zhang, Z Yuan, H Li, W Zhu Advances in Neural Information Processing Systems 34, 21872-21884, 2021 | 99 | 2021 |
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| Learning object-language alignments for open-vocabulary object detection C Lin, P Sun, Y Jiang, P Luo, L Qu, G Haffari, Z Yuan, J Cai arXiv preprint arXiv:2211.14843, 2022 | 86 | 2022 |
| Visual autoregressive modeling: Scalable image generation via next-scale prediction K Tian, Y Jiang, Z Yuan, B Peng, L Wang arXiv preprint arXiv:2404.02905, 2024 | 82 | 2024 |
| Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation P Sun, Y Jiang, S Chen, S Zhang, B Peng, P Luo, Z Yuan arXiv preprint arXiv:2406.06525, 2024 | 71 | 2024 |
| Metaformer: A unified meta framework for fine-grained recognition Q Diao, Y Jiang, B Wen, J Sun, Z Yuan arXiv preprint arXiv:2203.02751, 2022 | 68 | 2022 |
| Deep-dense Conditional Random Fields for Object Co-segmentation. ZH Yuan, T Lu, Y Wu IJCAI 1, 2, 2017 | 64 | 2017 |
