Recherche - Archive ouverte HAL Accéder directement au contenu

Filtrer vos résultats

7 résultats
Page :
triés par

Pixel-wise Conditioning of Generative Adversarial Networks

 Cyprien Ruffino , Romain Hérault , Eric Laloy , Gilles Gasso
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2019, Brugge, Belgium
Communication dans un congrès hal-02347732v1
Image document

Physically-admissible polarimetric data augmentation for road-scene analysis

 Cyprien Ruffino , Rachel Blin , Samia Ainouz , Gilles Gasso , Romain Hérault , et al.
Computer Vision and Image Understanding, 2022, 222, pp.103495. ⟨10.1016/j.cviu.2022.103495⟩
Article dans une revue hal-04461606v1
Image document

Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion

 Cyprien Ruffino , Romain Hérault , Eric Laloy , Gilles Gasso
Neurocomputing, 2020, 416, pp.218-230. ⟨10.1016/j.neucom.2019.11.116⟩
Article dans une revue hal-02551730v1
Image document

CTCModel: a Keras Model for Connectionist Temporal Classification

 Yann Soullard , Cyprien Ruffino , Thierry Paquet
[Research Report] université de Rouen Normandie. 2019
Rapport hal-02420358v1
Image document

Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation

 Cyprien Ruffino , Romain Hérault , Eric Laloy , Gilles Gasso
Conférence sur l'Apprentissage (CAp2018), Jun 2018, Rouen, France
Communication dans un congrès hal-02128358v1
Image document

Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?

 Eric Laloy , Niklas Linde , Cyprien Ruffino , Romain Hérault , Gilles Gasso , et al.
Computers & Geosciences, 2019, 133, pp.104333. ⟨10.1016/j.cageo.2019.104333⟩
Article dans une revue hal-02334880v1
Image document

Physically-admissible polarimetric data augmentation for road-scene analysis

 Cyprien Ruffino , Rachel Blin , Samia Ainouz , Gilles Gasso , Romain Hérault , et al.
2022
Pré-publication, Document de travail hal-03695871v1
Page :