10 citations · 11 across the 5 of their papers we have counts for
5 papers
Super-Resolution through StyleGAN Regularized Latent Search: A Realism-Fidelity Trade-off
Marzieh Gheisari, Auguste Genovesio
This paper addresses the problem of super-resolution: constructing a highly resolved (HR) image from a low resolved (LR) one. Recent unsupervised approaches search the latent space…
One Style is All you Need to Generate a Video
Sandeep Manandhar, Auguste Genovesio
In this paper, we propose a style-based conditional video generative model. We introduce a novel temporal generator based on a set of learned sinusoidal bases. Our method learns dy…
No Free Lunch in Self Supervised Representation Learning
Ihab Bendidi, Adrien Bardes, Ethan Cohen +3
Self-supervised representation learning in computer vision relies heavily on hand-crafted image transformations to learn meaningful and invariant features. However few extensive ex…
Unpaired Image-to-Image Translation with Limited Data to Reveal Subtle Phenotypes
Anis Bourou, Auguste Genovesio
Unpaired image-to-image translation methods aim at learning a mapping of images from a source domain to a target domain. Recently, these methods proved to be very useful in biologi…
Comparison of semi-supervised learning methods for High Content Screening quality control
Umar Masud, Ethan Cohen, Ihab Bendidi +2
Progress in automated microscopy and quantitative image analysis has promoted high-content screening (HCS) as an efficient drug discovery and research tool. While HCS offers to qua…