| Gradient-based deterministic inversion of geophysical data with generative adversarial networks: is it feasible? E Laloy, N Linde, C Ruffino, R Hérault, G Gasso, D Jacques Computers & Geosciences 133, 104333, 2019 | 48 | 2019 |
| Pixel-wise Conditioning of Generative Adversarial Networks C Ruffino, R Hérault, E Laloy, G Gasso European Symposium on Artificial Neural Networks (ESANN 2019), 2019 | 17* | 2019 |
| Pixel-wise conditioned generative adversarial networks for image synthesis and completion C Ruffino, R Hérault, E Laloy, G Gasso Neurocomputing 416, 218-230, 2020 | 9 | 2020 |
| Ctcmodel: a keras model for connectionist temporal classification Y Soullard, C Ruffino, T Paquet arXiv preprint arXiv:1901.07957, 2019 | 8 | 2019 |
| Physically-admissible polarimetric data augmentation for road-scene analysis C Ruffino, R Blin, S Ainouz, G Gasso, R Hérault, F Meriaudeau, S Canu Computer Vision and Image Understanding 222, 103495, 2022 | 2 | 2022 |
| Dilated spatial generative adversarial networks for ergodic image generation C Ruffino, R Hérault, E Laloy, G Gasso arXiv preprint arXiv:1905.08613, 2019 | 2 | 2019 |
| Auxiliary tasks for the conditioning of generative adversarial networks C Ruffino Normandie, 2021 | | 2021 |
Romain HÉRAULTPR Université de Caen GREYC Normandie Université - feu MCF INSA Rouen LITISVerified email at unicaen.fr
