1 citations · 1 across the 4 of their papers we have counts for
4 papers
FIRE-CIR: Fine-grained Reasoning for Composed Fashion Image Retrieval
François Gardères, Camille-Sovanneary Gauthier, Jean Ponce +1
Composed image retrieval (CIR) aims to retrieve a target image that depicts a reference image modified by a textual description. While recent vision-language models (VLMs) achieve…
FOM-Nav: Frontier-Object Maps for Object Goal Navigation
Thomas Chabal, Shizhe Chen, Jean Ponce +1
This paper addresses the Object Goal Navigation problem, where a robot must efficiently find a target object in an unknown environment. Existing implicit memory-based methods strug…
FACap: A Large-scale Fashion Dataset for Fine-grained Composed Image Retrieval
François Gardères, Shizhe Chen, Camille-Sovanneary Gauthier +1
The composed image retrieval (CIR) task is to retrieve target images given a reference image and a modification text. Recent methods for CIR leverage large pretrained vision-langua…
Dense Optical Tracking: Connecting the Dots
Guillaume Le Moing, Jean Ponce, Cordelia Schmid
Recent approaches to point tracking are able to recover the trajectory of any scene point through a large portion of a video despite the presence of occlusions. They are, however,…