| Exploring simple siamese representation learning X Chen, K He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 2214 | 2021 |
| Improved Baselines with Momentum Contrastive Learning X Chen, H Fan, R Girshick, K He arXiv preprint arXiv:2003.04297, 2020 | 2152 | 2020 |
| Masked autoencoders are scalable vision learners K He, X Chen, S Xie, Y Li, P Dollár, R Girshick Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 2066 | 2022 |
| Microsoft COCO captions: Data collection and evaluation server X Chen, H Fang, TY Lin, R Vedantam, S Gupta, P Dollár, CL Zitnick arXiv preprint arXiv:1504.00325, 2015 | 1858 | 2015 |
| Never-ending learning T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ... Communications of the ACM 61 (5), 103-115, 2018 | 1121 | 2018 |
| An Empirical Study of Training Self-Supervised Vision Transformers X Chen, S Xie, K He arXiv preprint arXiv:2104.02057, 2021 | 818 | 2021 |
| Visualizing and Understanding Neural Models in NLP J Li, X Chen, E Hovy, D Jurafsky arXiv preprint arXiv:1506.01066, 2015 | 680 | 2015 |
| Mind’s eye: A recurrent visual representation for image caption generation X Chen, CL Zitnick Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 603 | 2015 |
| Neil: Extracting visual knowledge from web data X Chen, A Shrivastava, A Gupta Proceedings of the IEEE International Conference on Computer Vision, 1409-1416, 2013 | 566 | 2013 |
| Large scale spectral clustering with landmark-based representation X Chen, D Cai Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011 | 397 | 2011 |
| Webly supervised learning of convolutional networks X Chen, A Gupta Proceedings of the IEEE International Conference on Computer Vision, 1431-1439, 2015 | 364 | 2015 |
| Towards vqa models that can read A Singh, V Natarajan, M Shah, Y Jiang, X Chen, D Batra, D Parikh, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 329 | 2019 |
| Tensormask: A foundation for dense object segmentation X Chen, R Girshick, K He, P Dollár Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 328 | 2019 |
| In Defense of Grid Features for Visual Question Answering H Jiang, I Misra, M Rohrbach, E Learned-Miller, X Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 254 | 2020 |
| Large scale spectral clustering via landmark-based sparse representation D Cai, X Chen IEEE transactions on cybernetics 45 (8), 1669-1680, 2014 | 244 | 2014 |
| Iterative visual reasoning beyond convolutions X Chen, LJ Li, L Fei-Fei, A Gupta Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 220 | 2018 |
| Imvotenet: Boosting 3d object detection in point clouds with image votes CR Qi, X Chen, O Litany, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 212 | 2020 |
| Learning a recurrent visual representation for image caption generation X Chen, CL Zitnick arXiv preprint arXiv:1411.5654, 2014 | 207 | 2014 |
| Pythia v0. 1: the Winning Entry to the VQA Challenge 2018 Y Jiang, V Natarajan, X Chen, M Rohrbach, D Batra, D Parikh arXiv preprint arXiv:1807.09956, 2018 | 197 | 2018 |
| Understanding self-supervised learning dynamics without contrastive pairs Y Tian, X Chen, S Ganguli International Conference on Machine Learning, 10268-10278, 2021 | 188 | 2021 |
Kaiming HeResearch Scientist, Facebook AI Research (FAIR)Verified email at fb.com
