| 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 | 7418 | 2021 |
| Deformable convolutional networks J Dai, H Qi, Y Xiong, Y Li, G Zhang, H Hu, Y Wei Proceedings of the IEEE international conference on computer vision, 764-773, 2017 | 4294 | 2017 |
| Deformable convnets v2: More deformable, better results X Zhu, H Hu, S Lin, J Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 1394 | 2019 |
| Gcnet: Non-local networks meet squeeze-excitation networks and beyond Y Cao, J Xu, S Lin, F Wei, H Hu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 1284 | 2019 |
| Relation networks for object detection H Hu, J Gu, Z Zhang, J Dai, Y Wei Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 1162 | 2018 |
| Reppoints: Point set representation for object detection Z Yang, S Liu, H Hu, L Wang, S Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 657 | 2019 |
| Video Swin Transformer Z Liu, J Ning, Y Cao, Y Wei, Z Zhang, S Lin, H Hu arXiv preprint arXiv:2106.13230, 2021 | 573 | 2021 |
| 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, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 426 | 2022 |
| Local Relation Networks for Image Recognition H Hu, Z Zhang, Z Xie, S Lin arXiv preprint arXiv:1904.11491, 2019 | 418 | 2019 |
| Simmim: A simple framework for masked image modeling Z Xie, Z Zhang, Y Cao, Y Lin, J Bao, Z Yao, Q Dai, H Hu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 396 | 2022 |
| Smooth representation clustering H Hu, Z Lin, J Feng, J Zhou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 282 | 2014 |
| 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 | 270 | 2021 |
| 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 | 238 | 2021 |
| 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 | 227 | 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 | 222 | 2020 |
| Wordsup: Exploiting word annotations for character based text detection H Hu, C Zhang, Y Luo, Y Wang, J Han, E Ding Proceedings of the IEEE International Conference on Computer Vision, 4940-4949, 2017 | 217 | 2017 |
| Memory Enhanced Global-Local Aggregation for Video Object Detection Y Chen, Y Cao, H Hu, L Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 211 | 2020 |
| 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 | 210 | 2019 |
| 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 …, 2021 | 148 | 2021 |
| 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 | 126 | 2020 |
Yue CaoBeijing Academy of Artificial IntelligenceVerified email at baai.ac.cn
