3.3k citations · 3.5k across the 11 of their papers we have counts for
15 papers
Generalization Limits in Vehicle Re-Identification
Anis Yassine Ben Mabrouk, Antoine Tadros, Rafael Grompone von Gioi +3
Vehicle re-identification focuses on retrieving images of the same vehicle from a gallery given a query image. Upon closer inspection of commonly used datasets, we observe that veh…
Fast, nonlocal and neural: a lightweight high quality solution to image denoising
Yu Guo, Axel Davy, Gabriele Facciolo +2
With the widespread application of convolutional neural networks (CNNs), the traditional model based denoising algorithms are now outperformed. However, CNNs face two problems. Fir…
On the Importance of Large Objects in CNN Based Object Detection Algorithms
Ahmed Ben Saad, Gabriele Facciolo, Axel Davy
Object detection models, a prominent class of machine learning algorithms, aim to identify and precisely locate objects in images or videos. However, this task might yield uneven p…
L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery
Ngoc Long Nguyen, Jérémy Anger, Axel Davy +2
High-resolution satellite imagery is a key element for many Earth monitoring applications. Satellites such as Sentinel-2 feature characteristics that are favorable for super-resolu…
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…