| DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila S Günel, H Rhodin, D Morales, J Campagnolo, P Ramdya, P Fua Elife 8, e48571, 2019 | 91 | 2019 |
| Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals S Li, S Gunel, M Ostrek, P Ramdya, P Fua, H Rhodin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 26 | 2020 |
| What face and body shapes can tell us about height S Gunel, H Rhodin, P Fua Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 23 | 2019 |
| LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals A Gosztolai, S Günel, V Lobato-Ríos, M Pietro Abrate, D Morales, ... Nature Methods 18 (8), 975-981, 2021 | 12 | 2021 |
| Gravity as a Reference for Estimating a Person's Height from Video D Bieler, S Gunel, P Fua, H Rhodin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 12 | 2019 |
| Long-term imaging of the ventral nerve cord in behaving adult Drosophila P Ramdya, L Hermans, M Kaynak, J Braun, V Lobato-Rios, CL Chen, ... bioRxiv, 2021 | 3 | 2021 |
| Ascending neurons convey behavioral state to integrative sensory and action selection centers in the brain CL Chen, F Aymanns, R Minegishi, V Matsuda, N Talabot, S Gunel, ... bioRxiv, 2022 | | 2022 |
| Overcoming the Domain Gap in Neural Action Representations S Günel, F Aymanns, S Honari, P Ramdya, P Fua arXiv preprint arXiv:2112.01176, 2021 | | 2021 |
| Overcoming the Domain Gap in Contrastive Learning of Neural Action Representations S Günel, F Aymanns, S Honari, P Ramdya, P Fua arXiv preprint arXiv:2111.14595, 2021 | | 2021 |
| LiftPose3D, a deep learning-based approach for transforming 2D to 3D pose in laboratory animals A Gosztolai, S Günel, VL Ríos, MP Abrate, D Morales, H Rhodin, P Fua, ... BioRxiv, 2020.09. 18.292680, 2021 | | 2021 |
| Supplemental Document for Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals S Li, S Günel, M Ostrek, P Ramdya, P Fua, H Rhodin | | |
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
