activity
20242026
most citedA Generative Approach for Wikipedia-Scale Visual Entity Recognition

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

LOCI: A Locator-Critic with Refinement Loop

Walid Bousselham, Mathilde Caron, Arsha Nagrani +1

Vision-Language Models (VLMs) still struggle on tasks requiring complex visual understanding. We argue that the core issue is not high-level reasoning, but instead failing to locat…

cs.CV2026

Pano3D: Unified 3D Reconstruction and Panoptic Segmentation

Victor Barberteguy, Ahmet Iscen, Mathilde Caron +3

Recent advances in 3D feedforward reconstruction neural networks have achieved remarkable success in dense reconstruction from images without any camera parameters. Yet, equipping…

cs.LG2025

Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames

Anurag Arnab, Ahmet Iscen, Mathilde Caron +2

Despite recent advances in Vision-Language Models (VLMs), long-video understanding remains a challenging problem. Although state-of-the-art long-context VLMs can process around 100…

cs.CV2024

Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach

Mathilde Caron, Alireza Fathi, Cordelia Schmid +1

Web-scale visual entity recognition, the task of associating images with their corresponding entities within vast knowledge bases like Wikipedia, presents significant challenges du…

cs.CV2024★ 1 cited

A Generative Approach for Wikipedia-Scale Visual Entity Recognition

Mathilde Caron, Ahmet Iscen, Alireza Fathi +1

In this paper, we address web-scale visual entity recognition, specifically the task of mapping a given query image to one of the 6 million existing entities in Wikipedia. One way…