From the 1 of 52 linked papers with an AI index.
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Revisiting Deformable Convolution for Depth Completion
Xinglong Sun, Jean Ponce, Yu-Xiong Wang
Depth completion, which aims to generate high-quality dense depth maps from sparse depth maps, has attracted increasing attention in recent years. Previous work usually employs RGB…
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Adrien Bardes, Jean Ponce, Yann LeCun
Self-supervised learning of visual representations has been focusing on learning content features, which do not capture object motion or location, and focus on identifying and diff…
Combining multi-spectral data with statistical and deep-learning models for improved exoplanet detection in direct imaging at high contrast
Olivier Flasseur, Théo Bodrito, Julien Mairal +3
Exoplanet detection by direct imaging is a difficult task: the faint signals from the objects of interest are buried under a spatially structured nuisance component induced by the…
An Image Quality Assessment Dataset for Portraits
Nicolas Chahine, Ana-Stefania Calarasanu, Davide Garcia-Civiero +3
Year after year, the demand for ever-better smartphone photos continues to grow, in particular in the domain of portrait photography. Manufacturers thus use perceptual quality crit…
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach
Elliot Vincent, Jean Ponce, Mathieu Aubry
Improvements in Earth observation by satellites allow for imagery of ever higher temporal and spatial resolution. Leveraging this data for agricultural monitoring is key for addres…
deep PACO: Combining statistical models with deep learning for exoplanet detection and characterization in direct imaging at high contrast
Olivier Flasseur, Théo Bodrito, Julien Mairal +3
Direct imaging is an active research topic in astronomy for the detection and the characterization of young sub-stellar objects. The very high contrast between the host star and it…