| Recurrent neural networks for semantic instance segmentation A Salvador, M Bellver, V Campos, M Baradad, F Marques, J Torres, ... arXiv preprint arXiv:1712.00617, 2017 | 80 | 2017 |
| Learning to see by looking at noise M Baradad Jurjo, J Wulff, T Wang, P Isola, A Torralba Advances in Neural Information Processing Systems 34, 2556-2569, 2021 | 77 | 2021 |
| Inferring light fields from shadows M Baradad, V Ye, AB Yedidia, F Durand, WT Freeman, GW Wornell, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 76 | 2018 |
| Using unknown occluders to recover hidden scenes AB Yedidia, M Baradad, C Thrampoulidis, WT Freeman, GW Wornell Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 66 | 2019 |
| Characterizing chronic disease and polymedication prescription patterns from electronic health records M Zamora, M Baradad, E Amado, S Cordomí, E Limón, J Ribera, M Arias, ... 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 19* | 2015 |
| Procedural image programs for representation learning M Baradad, R Chen, J Wulff, T Wang, R Feris, A Torralba, P Isola Advances in Neural Information Processing Systems 35, 6450-6462, 2022 | 8 | 2022 |
| Height and uprightness invariance for 3d prediction from a single view M Baradad, A Torralba Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 4 | 2020 |
| Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space. RB Gabrielsson, T Wang, M Baradad, J Solomon CoRR, 2023 | 1* | 2023 |
| A Vision Check-up for Language Models P Sharma, TR Shaham, M Baradad, S Fu, A Rodriguez-Munoz, S Duggal, ... arXiv preprint arXiv:2401.01862, 2024 | | 2024 |
| Background Prompting for Improved Object Depth M Baradad, Y Li, F Cole, M Rubinstein, A Torralba, WT Freeman, ... arXiv preprint arXiv:2306.05428, 2023 | | 2023 |
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
