| Momentum contrast for unsupervised visual representation learning K He, H Fan, Y Wu, S Xie, R Girshick Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 13146 | 2020 |
| Group Normalization Y Wu, K He European Conference on Computer Vision, 2018 | 4306 | 2018 |
| Detectron2 Y Wu, A Kirillov, F Massa, WY Lo, R Girshick https://github.com/facebookresearch/detectron2/, 2019 | 3038 | 2019 |
| DoReFa-Net: Training low bitwidth convolutional neural networks with low bitwidth gradients S Zhou, Y Wu, Z Ni, X Zhou, H Wen, Y Zou arXiv preprint arXiv:1606.06160, 2016 | 2465 | 2016 |
| PointRend: Image segmentation as rendering A Kirillov, Y Wu, K He, R Girshick Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 1084 | 2020 |
| Feature denoising for improving adversarial robustness C Xie, Y Wu, L Maaten, AL Yuille, K He Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 1023 | 2019 |
| Building Generalizable Agents with a Realistic and Rich 3D Environment Y Wu, Y Wu, G Gkioxari, Y Tian International Conference on Learning Representations, 2018 | 371* | 2018 |
| Training agent for first-person shooter game with actor-critic curriculum learning Y Wu, Y Tian International Conference on Learning Representations, 2017 | 264* | 2017 |
| Elf: An extensive, lightweight and flexible research platform for real-time strategy games Y Tian, Q Gong, W Shang, Y Wu, CL Zitnick Advances in Neural Information Processing Systems, 2659-2669, 2017 | 152 | 2017 |
| Automatic semantic modeling of indoor scenes from low-quality RGB-D data using contextual information K Chen, Y Lai, YX Wu, RR Martin, SM Hu ACM Transactions on Graphics 33 (6), 2014 | 130 | 2014 |
| Bayesian relational memory for semantic visual navigation Y Wu, Y Wu, A Tamar, S Russell, G Gkioxari, Y Tian Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 114 | 2019 |
| Tensorpack Y Wu https://github.com/tensorpack, 2016 | 97 | 2016 |
| Effective Quantization Methods for Recurrent Neural Networks Q He, H Wen, S Zhou, Y Wu, C Yao, X Zhou, Y Zou arXiv preprint arXiv:1611.10176, 2016 | 92 | 2016 |
| Rethinking" Batch" in BatchNorm Y Wu, J Johnson arXiv preprint arXiv:2105.07576, 2021 | 89 | 2021 |
| Natural environment benchmarks for reinforcement learning A Zhang, Y Wu, J Pineau arXiv preprint arXiv:1811.06032, 2018 | 71 | 2018 |
| Exploiting local structures with the kronecker layer in convolutional networks S Zhou, JN Wu, Y Wu, X Zhou arXiv preprint arXiv:1512.09194, 2015 | 45 | 2015 |
| Techniques for capturing state information and performing actions for threads in a multi-threaded computing environment Y Tian, Q Gong, WU Yuxin US Patent 10,387,161, 2019 | 7 | 2019 |
| Determination of a geographical location of a user S Zhou, X Zhou, WU Yuxin, WU Jianan US Patent 10,657,669, 2020 | 5 | 2020 |
| Liveness authentication method and apparatus S Zhou, X Zhou, WU Yuxin US Patent 10,043,086, 2018 | 4 | 2018 |
Kaiming HeAssociate Professor, EECS, MITVerified email at mit.edu
