| 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 | 9189 | 2022 |
| Exploring simple siamese representation learning X Chen, K He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 5032 | 2021 |
| Improved Baselines with Momentum Contrastive Learning X Chen, H Fan, R Girshick, K He arXiv preprint arXiv:2003.04297, 2020 | 3975 | 2020 |
| 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 | 2984 | 2015 |
| An empirical study of training self-supervised vision transformers X Chen, S Xie, K He Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 2111 | 2021 |
| Never-ending learning T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ... Communications of the ACM 61 (5), 103-115, 2018 | 1400 | 2018 |
| 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 | 1193 | 2019 |
| Convnext v2: Co-designing and scaling convnets with masked autoencoders S Woo, S Debnath, R Hu, X Chen, Z Liu, IS Kweon, S Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1004 | 2023 |
| Visualizing and Understanding Neural Models in NLP J Li, X Chen, E Hovy, D Jurafsky arXiv preprint arXiv:1506.01066, 2015 | 878 | 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 | 678 | 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 | 611 | 2013 |
| Large scale spectral clustering with landmark-based representation X Chen, D Cai Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011 | 470 | 2011 |
| Webly supervised learning of convolutional networks X Chen, A Gupta Proceedings of the IEEE International Conference on Computer Vision, 1431-1439, 2015 | 466 | 2015 |
| 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 | 461 | 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 | 431 | 2020 |
| nocaps: novel object captioning at scale H Agrawal, K Desai, Y Wang, X Chen, R Jain, M Johnson, D Batra, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 385 | 2019 |
| Large scale spectral clustering via landmark-based sparse representation D Cai, X Chen IEEE transactions on cybernetics 45 (8), 1669-1680, 2014 | 342 | 2014 |
| Understanding self-supervised learning dynamics without contrastive pairs Y Tian, X Chen, S Ganguli International Conference on Machine Learning, 10268-10278, 2021 | 341 | 2021 |
| 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 | 335 | 2020 |
| 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 | 265 | 2018 |
Kaiming HeAssociate Professor, EECS, MITVerified email at mit.edu
