72 citations · 91 across the 6 of their papers we have counts for
6 papers
Physically-admissible polarimetric data augmentation for road-scene analysis
Cyprien Ruffino, Rachel Blin, Samia Ainouz +4
Polarimetric imaging, along with deep learning, has shown improved performances on different tasks including scene analysis. However, its robustness may be questioned because of th…
Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion
Cyprien Ruffino, Romain Hérault, Eric Laloy +1
Generative Adversarial Networks (GANs) have proven successful for unsupervised image generation. Several works have extended GANs to image inpainting by conditioning the generation…
Pixel-wise Conditioning of Generative Adversarial Networks
Cyprien Ruffino, Romain Hérault, Eric Laloy +1
Generative Adversarial Networks (GANs) have proven successful for unsupervised image generation. Several works extended GANs to image inpainting by conditioning the generation with…
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation
Cyprien Ruffino, Romain Hérault, Eric Laloy +1
Generative models have recently received renewed attention as a result of adversarial learning. Generative adversarial networks consist of samples generation model and a discrimina…
CTCModel: a Keras Model for Connectionist Temporal Classification
Yann Soullard, Cyprien Ruffino, Thierry Paquet
We report an extension of a Keras Model, called CTCModel, to perform the Connectionist Temporal Classification (CTC) in a transparent way. Combined with Recurrent Neural Networks,…
Gradient-based deterministic inversion of geophysical data with Generative Adversarial Networks: is it feasible?
Eric Laloy, Niklas Linde, Cyprien Ruffino +3
Global probabilistic inversion within the latent space learned by a Generative Adversarial Network (GAN) has been recently demonstrated. Compared to inversion on the original model…