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20182026
most citedFast, nonlocal and neural: a lightweight high quality solution to image denoising

29 citations · 36 across the 11 of their papers we have counts for

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13 papers · 1 filter

cs.CV2024

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…

cs.CV2023

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…

cs.CV2022

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…

cs.CV20221 cited

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…

cs.CV2021

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…

cs.CV2021

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…