| Vconv-dae: Deep volumetric shape learning without object labels A Sharma, O Grau, M Fritz Computer Vision–ECCV 2016 Proceedings, Part III 14, 236-250, 2016 | 315 | 2016 |
| Zoomout: Spectral upsampling for efficient shape correspondence S Melzi, J Ren, E Rodola, A Sharma, P Wonka, M Ovsjanikov Transaction on Graphics (TOG), 2019 | 174 | 2019 |
| Deep geometric functional maps: Robust feature learning for shape correspondence N Donati, A Sharma, M Ovsjanikov Proceedings of the CVPR, 8592-8601, 2020 | 161 | 2020 |
| Unsupervised deep learning for structured shape matching JM Roufosse, A Sharma, M Ovsjanikov Proceedings of the ICCV, 1617-1627, 2019 | 134 | 2019 |
| Weakly supervised deep functional maps for shape matching A Sharma, M Ovsjanikov Advances in Neural Information Processing Systems 33, 19264-19275, 2020 | 54 | 2020 |
| Matrix decomposition on graphs: A simplified functional view A Sharma, M Ovsjanikov ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 10* | 2022 |
| Foreground clustering for joint segmentation and localization in videos and images A Sharma Advances in Neural Information Processing Systems 31, 2018 | 8* | 2018 |
| PrimateAI-3D outperforms AlphaMissense in real-world cohorts DA Parry, T Bosc, T Hamp, P Fiziev, A Sharma, I Kassam, J McRae, ... medRxiv, 2024.01. 12.24301193, 2024 | | 2024 |
Maks OvsjanikovProfessor, Ecole PolytechniqueVerified email at lix.polytechnique.fr
