| Swin transformer: Hierarchical vision transformer using shifted windows Z Liu, Y Lin, Y Cao, H Hu, Y Wei, Z Zhang, S Lin, B Guo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 1340 | 2021 |
| MMDetection: Open mmlab detection toolbox and benchmark K Chen, J Wang, J Pang, Y Cao, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Xu, ... arXiv preprint arXiv:1906.07155, 2019 | 1050 | 2019 |
| Relation networks for object detection H Hu, J Gu, Z Zhang, J Dai, Y Wei Computer Vision and Pattern Recognition (CVPR), Oral 2 (3), 2018 | 837 | 2018 |
| Multi-oriented text detection with fully convolutional networks Z Zhang, C Zhang, W Shen, C Yao, W Liu, X Bai Computer Vision and Pattern Recognition (CVPR), 4159-4167, 2016 | 539 | 2016 |
| Symmetry-based text line detection in natural scenes Z Zhang, W Shen, C Yao, X Bai Computer Vision and Pattern Recognition (CVPR), 2558-2567, 2015 | 300 | 2015 |
| Local relation networks for image recognition H Hu, Z Zhang, Z Xie, S Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 229 | 2019 |
| Video swin transformer Z Liu, J Ning, Y Cao, Y Wei, Z Zhang, S Lin, H Hu arXiv preprint arXiv:2106.13230, 2021 | 155 | 2021 |
| An empirical study of spatial attention mechanisms in deep networks X Zhu, D Cheng, Z Zhang, S Lin, J Dai Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 153 | 2019 |
| Spatial-temporal relation networks for multi-object tracking J Xu, Y Cao, Z Zhang, H Hu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 140 | 2019 |
| Disentangled non-local neural networks M Yin, Z Yao, Y Cao, X Li, Z Zhang, S Lin, H Hu European Conference on Computer Vision, 191-207, 2020 | 121 | 2020 |
| Negative margin matters: Understanding margin in few-shot classification B Liu, Y Cao, Y Lin, Q Li, Z Zhang, M Long, H Hu European Conference on Computer Vision, 438-455, 2019 | 115 | 2019 |
| Propagate yourself: Exploring pixel-level consistency for unsupervised visual representation learning Z Xie, Y Lin, Z Zhang, Y Cao, S Lin, H Hu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 93 | 2020 |
| A closer look at local aggregation operators in point cloud analysis Z Liu, H Hu, Y Cao, Z Zhang, X Tong European Conference on Computer Vision, 326-342, 2020 | 65 | 2020 |
| End-to-end semi-supervised object detection with soft teacher M Xu, Z Zhang, H Hu, J Wang, L Wang, F Wei, X Bai, Z Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 47 | 2021 |
| Reppoints v2: Verification meets regression for object detection Y Chen, Z Zhang, Y Cao, L Wang, S Lin, H Hu Advances in Neural Information Processing Systems 33, 5621-5631, 2020 | 47 | 2020 |
| Group-free 3d object detection via transformers Z Liu, Z Zhang, Y Cao, H Hu, X Tong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2020 | 40 | 2020 |
| Swin Transformer V2: Scaling Up Capacity and Resolution Z Liu, H Hu, Y Lin, Z Yao, Z Xie, Y Wei, J Ning, Y Cao, Z Zhang, L Dong, ... arXiv preprint arXiv:2111.09883, 2022 | 34 | 2022 |
| Integrated object detection and tracking with tracklet-conditioned detection Z Zhang, D Cheng, X Zhu, S Lin, J Dai arXiv preprint arXiv:1811.11167, 2018 | 34 | 2018 |
| Self-supervised learning with swin transformers Z Xie, Y Lin, Z Yao, Z Zhang, Q Dai, Y Cao, H Hu arXiv preprint arXiv:2105.04553, 2021 | 33 | 2021 |
| Spatially adaptive inference with stochastic feature sampling and interpolation Z Xie, Z Zhang, X Zhu, G Huang, S Lin European conference on computer vision, 531-548, 2020 | 32 | 2020 |
Han HuMicrosoft ResearchVerified email at microsoft.com
