Self-supervised deep learning on point clouds by reconstructing space J Sauder, B Sievers Advances in Neural Information Processing Systems 32, 2019 | 282 | 2019 |
Context prediction for unsupervised deep learning on point clouds J Sauder, B Sievers arXiv preprint arXiv:1901.08396 2 (4), 5, 2019 | 24 | 2019 |
Neurally augmented ALISTA F Behrens, J Sauder, P Jung arXiv preprint arXiv:2010.01930, 2020 | 16 | 2020 |
Scalable semantic 3D mapping of coral reefs with deep learning J Sauder, G Banc‐Prandi, A Meibom, D Tuia Methods in Ecology and Evolution 15 (5), 916-934, 2024 | 9 | 2024 |
Best student forcing: A simple training mechanism in adversarial language generation J Sauder, T Hu, X Che, G Mordido, H Yang, C Meinel Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 3 | 2020 |
Learning structured sparse matrices for signal recovery via unrolled optimization J Sauder, M Genzel, P Jung NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021 | 2 | 2021 |
Towards Neurally augmented ALISTA F Behrens, J Sauder, P Jung NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020 | 2 | 2020 |
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery J Sauder, M Genzel, P Jung IEEE Journal on Selected Areas in Information Theory 3 (3), 481-492, 2022 | 1 | 2022 |
Self-Supervised Underwater Caustics Removal and Descattering via Deep Monocular SLAM J Sauder, D Tuia ECCV 2024, 2024 | | 2024 |
Data for Paper" Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning" D Tuia, J Sauder, A Meibom, G Banc-Prandi EPFL Infoscience, 2024 | | 2024 |
Pseudo-Ground-Truth Training for Adversarial Text Generation with Reinforcement Learning J Sauder, X Che, G Mordido, H Yang, C Meinel NeurIPS 2018 Deep RL Workshop, 2018 | | 2018 |
3D Computer Vision for Underwater Videos of Reefs J Sauder | | |
ECEO C Chappuis, PR Creusot, E Dalsasso, VAG Gabeff, L Hughes, ... | | |
LGB S Clavel, G Banc-Prandi, C Battistella, S Bessette, J Bodin, V Bridel, ... | | |