| MultiMAE: Multi-modal multi-task masked autoencoders R Bachmann, D Mizrahi, A Atanov, A Zamir Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 227 | 2022 |
| Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans A Eftekhar, A Sax, J Malik, A Zamir Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 201 | 2021 |
| Clipasso: Semantically-aware object sketching Y Vinker, E Pajouheshgar, JY Bo, RC Bachmann, AH Bermano, ... ACM Transactions on Graphics (TOG) 41 (4), 1-11, 2022 | 167 | 2022 |
| Training Binary Neural Networks using the Bayesian Learning Rule X Meng, R Bachmann, ME Khan 2020 International Conference on Machine Learning (ICML), 2020 | 44 | 2020 |
| 4M: Massively Multimodal Masked Modeling D Mizrahi, R Bachmann, OF Kar, T Yeo, M Gao, A Dehghan, A Zamir Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 27 | 2023 |
| Motion Capture from Pan-Tilt Cameras with Unknown Orientation R Bachmann, J Spörri, P Fua, H Rhodin 2019 International Conference on 3D Vision (3DV), 308-317, 2019 | 17 | 2019 |
| Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans. 2021 IEEE A Eftekhar, A Sax, R Bachmann, J Malik, AR Zamir CVF International Conference on Computer Vision (ICCV), 10766-10776, 2021 | 6 | 2021 |
| 4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities R Bachmann, OF Kar, D Mizrahi, A Garjani, M Gao, D Griffiths, J Hu, ... arXiv preprint arXiv:2406.09406, 2024 | 3 | 2024 |
| Modality-invariant Visual Odometry for Embodied Vision M Memmel, R Bachmann, A Zamir Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| ViPer: Visual Personalization of Generative Models via Individual Preference Learning S Salehi, M Shafiei, T Yeo, R Bachmann, A Zamir arXiv preprint arXiv:2407.17365, 2024 | | 2024 |
| Global Motion Estimation from Pan-Tilt Cameras R Bachmann, H Rhodin, P Fua 2019 Central European Seminar on Computer Graphics (CESCG) (non-peer-reviewed), 2019 | | 2019 |
| Automatic 3D motion capture in alpine skiing using deep learning and computer vision R Bachmann, H Rhodin, J Spörri, P Fua 8th Int. Congress on Science and Skiing (ICSS) (non-peer-reviewed), 14, 2019 | | 2019 |
Amir ZamirProfessor of Computer Science, EPFL確認したメール アドレス: stanford.edu
