29 citations · 36 across the 11 of their papers we have counts for
13 papers · 1 filter
Adapting MIMO video restoration networks to low latency constraints
Valéry Dewil, Zhe Zheng, Arnaud Barral +7
MIMO (multiple input, multiple output) approaches are a recent trend in neural network architectures for video restoration problems, where each network evaluation produces multiple…
IAdet: Simplest human-in-the-loop object detection
Franco Marchesoni-Acland, Gabriele Facciolo
This work proposes a strategy for training models while annotating data named Intelligent Annotation (IA). IA involves three modules: (1) assisted data annotation, (2) background m…
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…
Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products
Jérémy Anger, Thibaud Ehret, Gabriele Facciolo
Recent constellations of satellites, including the Skysat constellation, are able to acquire bursts of images. This new acquisition mode allows for modern image restoration techniq…
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…