| 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 | 587 | 2018 |
| 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 | 528 | 2019 |
| 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 | 473 | 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 | 276 | 2015 |
| Swin transformer: Hierarchical vision transformer using shifted windows Z Liu, Y Lin, Y Cao, H Hu, Y Wei, Z Zhang, S Lin, B Guo arXiv preprint arXiv:2103.14030, 2021 | 127 | 2021 |
| 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 | 93 | 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 | 82 | 2019 |
| 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 | 65 | 2019 |
| 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, 2020 | 44 | 2020 |
| 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 | 39 | 2020 |
| 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 …, 2021 | 28 | 2021 |
| Deformable convolutional networks–coco detection and segmentation challenge 2017 entry H Qi, Z Zhang, B Xiao, H Hu, B Cheng, Y Wei, J Dai ICCV COCO Challenge Workshop 15, 1, 2017 | 28 | 2017 |
| 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 | 27 | 2020 |
| 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 | 17 | 2018 |
| Parametric instance classification for unsupervised visual feature learning Y Cao, Z Xie, B Liu, Y Lin, Z Zhang, H Hu arXiv preprint arXiv:2006.14618, 2020 | 16 | 2020 |
| 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, 2020 | 16 | 2020 |
| Dense reppoints: Representing visual objects with dense point sets Z Yang, Y Xu, H Xue, Z Zhang, R Urtasun, L Wang, S Lin, H Hu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 16 | 2020 |
| 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 | 12 | 2020 |
| 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 | 5 | 2021 |
| Video swin transformer Z Liu, J Ning, Y Cao, Y Wei, Z Zhang, S Lin, H Hu arXiv preprint arXiv:2106.13230, 2021 | 1 | 2021 |
Han HuMicrosoft ResearchVerified email at microsoft.com
