18 citations · 19 across the 4 of their papers we have counts for
10 papers · 1 filter
Improving Pixel-Level Contrastive Learning by Leveraging Exogenous Depth Information
Ahmed Ben Saad, Kristina Prokopetc, Josselin Kherroubi +3
Self-supervised representation learning based on Contrastive Learning (CL) has been the subject of much attention in recent years. This is due to the excellent results obtained on…
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites
Ngoc Long Nguyen, Jérémy Anger, Axel Davy +2
Modern Earth observation satellites capture multi-exposure bursts of push-frame images that can be super-resolved via computational means. In this work, we propose a super-resoluti…
Proba-V-ref: Repurposing the Proba-V challenge for reference-aware super resolution
Ngoc Long Nguyen, Jérémy Anger, Axel Davy +2
The PROBA-V Super-Resolution challenge distributes real low-resolution image series and corresponding high-resolution targets to advance research on Multi-Image Super Resolution (M…
Self-Supervised training for blind multi-frame video denoising
Valéry Dewil, Jérémy Anger, Axel Davy +3
We propose a self-supervised approach for training multi-frame video denoising networks. These networks predict frame t from a window of frames around t. Our self-supervised approa…
Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images
Thibaud Ehret, Axel Davy, Pablo Arias +1
Demosaicking and denoising are the first steps of any camera image processing pipeline and are key for obtaining high quality RGB images. A promising current research trend aims at…
Reducing Anomaly Detection in Images to Detection in Noise
Axel Davy, Thibaud Ehret, Jean-Michel Morel +1
Anomaly detectors address the difficult problem of detecting automatically exceptions in an arbitrary background image. Detection methods have been proposed by the thousands becaus…