Följ
Cyprien Ruffino
Cyprien Ruffino
R&D engineer @ Kinetix
Verifierad e-postadress på kinetix.tech - Startsida
Titel
Citeras av
Citeras av
År
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
312019
Pixel-wise Conditioning of Generative Adversarial Networks
C Ruffino, R Hérault, E Laloy, G Gasso
European Symposium on Artificial Neural Networks (ESANN 2019), 2019
10*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
92020
Ctcmodel: a keras model for connectionist temporal classification
Y Soullard, C Ruffino, T Paquet
arXiv preprint arXiv:1901.07957, 2019
52019
Dilated spatial generative adversarial networks for ergodic image generation
C Ruffino, R Hérault, E Laloy, G Gasso
arXiv preprint arXiv:1905.08613, 2019
22019
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
2022
Auxiliary tasks for the conditioning of generative adversarial networks
C Ruffino
Normandie, 2021
2021
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–7