works on

From the 1 of 52 linked papers with an AI index.

activity
20082026
most citedTask-Driven Dictionary Learning

840 citations · 2.7k across the 42 of their papers we have counts for

collaborators

52 papers

cs.CV2026

Surface Reconstruction from Range Scans Under Visibility Constraints

Gabriel Lenain, Edmond Boyer, Jean Ponce

Surface reconstruction from range scans is challenging in the presence of noise and outliers, as fidelity to observations must be balanced against sensitivity to measurement errors…

cs.CV2023

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…

cs.CV2023★ 5 cited

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…

astro-ph.IM2023

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…

cs.CV2023

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…

cs.CV2023★ 1 cited

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…