| Unsupervised learning of visual features by contrasting cluster assignments M Caron, I Misra, J Mairal, P Goyal, P Bojanowski, A Joulin Advances in Neural Information Processing Systems 33, 9912-9924, 2020 | 901 | 2020 |
| Cross-stitch Networks for Multi-task Learning I Misra, A Shrivastava, A Gupta, M Hebert Computer Vision Pattern Recognition (CVPR), 2016 | 878 | 2016 |
| Shuffle and Learn: Unsupervised Learning using Temporal Order Verification I Misra, CL Zitnick, M Hebert European Conference on Computer Vision (ECCV), 2016 | 691 | 2016 |
| Self-supervised learning of pretext-invariant representations I Misra, L Maaten Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 620 | 2020 |
| Emerging properties in self-supervised vision transformers M Caron, H Touvron, I Misra, H Jégou, J Mairal, P Bojanowski, A Joulin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 402 | 2021 |
| Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection D Dwibedi, I Misra, M Hebert ICCV, 2017 | 383 | 2017 |
| Barlow twins: Self-supervised learning via redundancy reduction J Zbontar, L Jing, I Misra, Y LeCun, S Deny International Conference on Machine Learning, 12310-12320, 2021 | 344 | 2021 |
| Visual Storytelling THK Huang, F Ferraro, N Mostafazadeh, I Misra, A Agrawal, J Devlin, ... NAACL, 2016 | 299 | 2016 |
| Generating Natural Questions About an Image N Mostafazadeh, I Misra, J Devlin, M Mitchell, X He, L Vanderwende arXiv preprint arXiv:1603.06059, 2016 | 246 | 2016 |
| Scaling and benchmarking self-supervised visual representation learning P Goyal, D Mahajan, A Gupta, I Misra Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 244 | 2019 |
| Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels I Misra, CL Zitnick, M Mitchell, R Girshick Computer Vision Pattern Recognition (CVPR), 2016 | 176 | 2016 |
| Watch and Learn: Semi-Supervised Learning for Object Detectors From Video I Misra, A Shrivastava, M Hebert Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 132 | 2015 |
| From red wine to red tomato: Composition with context I Misra, A Gupta, M Hebert Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 127 | 2017 |
| 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 | 122 | 2020 |
| Does object recognition work for everyone? T De Vries, I Misra, C Wang, L Van der Maaten Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 111 | 2019 |
| Self-supervised Pretraining of Visual Features in the Wild P Goyal, M Caron, B Lefaudeux, M Xu, P Wang, V Pai, M Singh, ... arXiv preprint arXiv:2103.01988, 2021 | 81 | 2021 |
| Audio-visual instance discrimination with cross-modal agreement P Morgado, N Vasconcelos, I Misra Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 81 | 2021 |
| Mdetr-modulated detection for end-to-end multi-modal understanding A Kamath, M Singh, Y LeCun, G Synnaeve, I Misra, N Carion Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 76 | 2021 |
| ClusterFit: Improving Generalization of Visual Representations X Yan, I Misra, A Gupta, D Ghadiyaram, D Mahajan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 62 | 2020 |
| Learning by asking questions I Misra, R Girshick, R Fergus, M Hebert, A Gupta, L Van Der Maaten Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 60 | 2018 |
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