| Swin transformer: Hierarchical vision transformer using shifted windows Z Liu*, Y Lin*, Y Cao*, H Hu*, Y Wei, Z Zhang, S Lin, B Guo International Conference on Computer Vision (ICCV), 2021 (Oral), 2021 | 22417 | 2021 |
| Learning Transferable Features with Deep Adaptation Networks M Long, Y Cao, J Wang, MI Jordan International Conference on Machine Learning (ICML), 2015, 2015 | 6052 | 2015 |
| GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond Y Cao*, J Xu*, S Lin, F Wei, H Hu arXiv preprint arXiv:1904.11492, 2019 | 2005 | 2019 |
| Vl-bert: Pre-training of generic visual-linguistic representations W Su*, X Zhu*, Y Cao, B Li, L Lu, F Wei, J Dai International Conference on Learning Representations (ICLR), 2020 | 1824 | 2020 |
| Video swin transformer Z Liu, J Ning, Y Cao, Y Wei, Z Zhang, S Lin, H Hu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 2022 | 1733 | 2022 |
| 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, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 2022 | 1728 | 2022 |
| Simmim: A simple framework for masked image modeling Z Xie, Z Zhang, Y Cao, Y Lin, J Bao, Z Yao, Q Dai, H Hu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 2022 | 1268 | 2022 |
| Deep Hashing Network for Efficient Similarity Retrieval H Zhu, M Long, J Wang, Y Cao AAAI Conference on Artificial Intelligence (AAAI), 2016, 2016 | 766 | 2016 |
| Transferable representation learning with deep adaptation networks M Long, Y Cao, Z Cao, J Wang, MI Jordan IEEE transactions on pattern analysis and machine intelligence 41 (12), 3071 …, 2018 | 570 | 2018 |
| Eva: Exploring the limits of masked visual representation learning at scale Y Fang, W Wang, B Xie, Q Sun, L Wu, X Wang, T Huang, X Wang, Y Cao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 543 | 2023 |
| Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning Z Xie, Y Lin, Z Zhang, Y Cao, S Lin, H Hu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2021 | 450 | 2021 |
| Negative Margin Matters: Understanding Margin in Few-shot Classification B Liu, Y Cao, Y Lin, Q Li, Z Zhang, M Long, H Hu Europe Conference on Computer Vision (ECCV), 2020 (spotlight), 2020 | 378 | 2020 |
| Deep Cauchy Hashing for Hamming Space Retrieval Y Cao, M Long, B Liu, J Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, 2018 | 374 | 2018 |
| Disentangled Non-Local Neural Networks M Yin, Z Yao, Y Cao, X Li, Z Zhang, S Lin, H Hu Europe Conference on Computer Vision (ECCV), 2020, 2020 | 366 | 2020 |
| Deep Visual-Semantic Quantization for Efficient Image Retrieval Y Cao, M Long, J Wang, S Liu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017 | 361 | 2017 |
| Memory Enhanced Global-Local Aggregation for Video Object Detection Y Chen, Y Cao, H Hu, L Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, 2020 | 341 | 2020 |
| Deep Visual-Semantic Hashing for Cross-Modal Retrieval Y Cao, M Long, J Wang, Q Yang, PS Yu ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016, 2016 | 315 | 2016 |
| Group-Free 3D Object Detection via Transformers Z Liu, Z Zhang, Y Cao, H Hu, X Tong International Conference on Computer Vision (ICCV), 2021, 2021 | 309 | 2021 |
| Spatial-Temporal Relation Networks for Multi-Object Tracking J Xu, Y Cao, Z Zhang, H Hu International Conference on Computer Vision (ICCV), 2019, 2019 | 290 | 2019 |
| Eva-clip: Improved training techniques for clip at scale Q Sun, Y Fang, L Wu, X Wang, Y Cao arXiv preprint arXiv:2303.15389, 2023 | 266 | 2023 |
Han HuMicrosoft ResearchVerified email at microsoft.com
