| Large scale incremental learning Y Wu, Y Chen, L Wang, Y Ye, Z Liu, Y Guo, Y Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1520 | 2019 |
| Dynamic convolution: Attention over convolution kernels Y Chen, X Dai, M Liu, D Chen, L Yuan, Z Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1154 | 2020 |
| Rethinking classification and localization for object detection Y Wu, Y Chen, L Yuan, Z Liu, L Wang, H Li, Y Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 741 | 2020 |
| Dynamic head: Unifying object detection heads with attentions X Dai, Y Chen, B Xiao, D Chen, M Liu, L Yuan, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 735 | 2021 |
| Mobile-former: Bridging mobilenet and transformer Y Chen, X Dai, D Chen, M Liu, X Dong, L Yuan, Z Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 611 | 2022 |
| Dynamic detr: End-to-end object detection with dynamic attention X Dai, Y Chen, J Yang, P Zhang, L Yuan, L Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 353 | 2021 |
| Bevt: Bert pretraining of video transformers R Wang, D Chen, Z Wu, Y Chen, X Dai, M Liu, YG Jiang, L Zhou, L Yuan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 255 | 2022 |
| Dynamic relu Y Chen, X Dai, M Liu, D Chen, L Yuan, Z Liu European conference on computer vision, 351-367, 2020 | 238 | 2020 |
| Incremental classifier learning with generative adversarial networks Y Wu, Y Chen, L Wang, Y Ye, Z Liu, Y Guo, Z Zhang, Y Fu arXiv preprint arXiv:1802.00853, 2018 | 144 | 2018 |
| Tensor-based human body modeling Y Chen, Z Liu, Z Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 141 | 2013 |
| Micronet: Improving image recognition with extremely low flops Y Li, Y Chen, X Dai, D Chen, M Liu, L Yuan, Z Liu, L Zhang, ... Proceedings of the IEEE/CVF International conference on computer vision, 468-477, 2021 | 112* | 2021 |
| An adaptive mixed reality training system for stroke rehabilitation M Duff, Y Chen, S Attygalle, J Herman, H Sundaram, G Qian, J He, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 18 (5 …, 2010 | 108 | 2010 |
| Cross-domain complementary learning using pose for multi-person part segmentation K Lin, L Wang, K Luo, Y Chen, Z Liu, MT Sun IEEE Transactions on Circuits and Systems for Video Technology 31 (3), 1066-1078, 2020 | 101 | 2020 |
| Reduce information loss in transformers for pluralistic image inpainting Q Liu, Z Tan, D Chen, Q Chu, X Dai, Y Chen, M Liu, L Yuan, N Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 99 | 2022 |
| Masked video distillation: Rethinking masked feature modeling for self-supervised video representation learning R Wang, D Chen, Z Wu, Y Chen, X Dai, M Liu, L Yuan, YG Jiang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 98 | 2023 |
| Dynamic transfer for multi-source domain adaptation Y Li, L Yuan, Y Chen, P Wang, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 89 | 2021 |
| The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation Y Chen, H Huang, W Xu, RI Wallis, H Sundaram, T Rikakis, T Ingalls, ... Proceedings of the 14th ACM international conference on Multimedia, 763-772, 2006 | 88* | 2006 |
| OpenFWI: Large-scale multi-structural benchmark datasets for full waveform inversion C Deng, S Feng, H Wang, X Zhang, P Jin, Y Feng, Q Zeng, Y Chen, Y Lin Advances in Neural Information Processing Systems 35, 6007-6020, 2022 | 85 | 2022 |
| REVISITING DYNAMIC CONVOLUTION VIA MATRIX DECOMPOSITION Y Li, Y Chen, X Dai, M Liu, D Chen, Y Yu, L Yuan, Z Liu, M Chen, ... ICLR 2021, 2021 | 83 | 2021 |
| Real-time sonification of movement for an immersive stroke rehabilitation environment I Wallis, T Ingalls, T Rikakis, L Olsen, Y Chen, W Xu, H Sundaram Proceedings of the 13th international conference on auditory display, 26-29, 2007 | 73 | 2007 |
Zicheng LiuMicrosoftVerified email at microsoft.com
