| Your diffusion model is secretly a zero-shot classifier AC Li, M Prabhudesai, S Duggal, E Brown, D Pathak Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 235 | 2023 |
| Aligning text-to-image diffusion models with reward backpropagation M Prabhudesai, A Goyal, D Pathak, K Fragkiadaki | 75 | 2023 |
| Embodied language grounding with implicit 3d visual feature representations M Prabhudesai, HYF Tung, SA Javed, M Sieb, AW Harley, K Fragkiadaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 32* | 2019 |
| Diffusion-tta: Test-time adaptation of discriminative models via generative feedback M Prabhudesai, TW Ke, A Li, D Pathak, K Fragkiadaki Advances in Neural Information Processing Systems 36, 17567-17583, 2023 | 30* | 2023 |
| 3d-oes: Viewpoint-invariant object-factorized environment simulators HYF Tung, Z Xian, M Prabhudesai, S Lal, K Fragkiadaki arXiv preprint arXiv:2011.06464, 2020 | 29 | 2020 |
| CoCoNets: Continuous contrastive 3D scene representations S Lal*, M Prabhudesai*, I Mediratta, AW Harley, K Fragkiadaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 27 | 2021 |
| Disentangling 3d prototypical networks for few-shot concept learning M Prabhudesai, S Lal, D Patil, HY Tung, AW Harley, K Fragkiadaki International Conference on Learning Representations (ICLR), 2021 | 22 | 2021 |
| Video diffusion alignment via reward gradients M Prabhudesai, R Mendonca, Z Qin, K Fragkiadaki, D Pathak arXiv preprint arXiv:2407.08737, 2024 | 18 | 2024 |
| Test-time Adaptation with Slot-Centric Models M Prabhudesai, A Goyal, S Paul, SV Steenkiste, MSM Sajjadi, ... Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 11 | 2023 |
