activity
20152021
most citedOn Demand Solid Texture Synthesis Using Deep 3D Networks

25 citations · 53 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV202115 cited

This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces

Ryan Webster, Julien Rabin, Loic Simon +1

Recently, generative adversarial networks (GANs) have achieved stunning realism, fooling even human observers. Indeed, the popular tongue-in-cheek website {\small \url{ http://this…

cs.LG2021

Variational models for signal processing with Graph Neural Networks

Amitoz Azad, Julien Rabin, Abderrahim Elmoataz

This paper is devoted to signal processing on point-clouds by means of neural networks. Nowadays, state-of-the-art in image processing and computer vision is mostly based on traini…

cs.GR202025 cited

On Demand Solid Texture Synthesis Using Deep 3D Networks

Jorge Gutierrez, Julien Rabin, Bruno Galerne +1

This paper describes a novel approach for on demand volumetric texture synthesis based on a deep learning framework that allows for the generation of high quality 3D data at intera…

cs.LG2019

Detecting Overfitting of Deep Generative Networks via Latent Recovery

Ryan Webster, Julien Rabin, Loic Simon +1

State of the art deep generative networks are capable of producing images with such incredible realism that they can be suspected of memorizing training images. It is why it is not…

cs.CV201513 cited

Convex Color Image Segmentation with Optimal Transport Distances

Julien Rabin, Nicolas Papadakis

This work is about the use of regularized optimal-transport distances for convex, histogram-based image segmentation. In the considered framework, fixed exemplar histograms define…