53 citations · 173 across the 26 of their papers we have counts for
4 papers · 1 filter
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…
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval
Pavel Suma, Giorgos Kordopatis-Zilos, Ahmet Iscen +1
This work investigates the problem of instance-level image retrieval re-ranking with the constraint of memory efficiency, ultimately aiming to limit memory usage to 1KB per image.…
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…
SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code
Ziniu Hu, Ahmet Iscen, Aashi Jain +5
This paper introduces SceneCraft, a Large Language Model (LLM) Agent converting text descriptions into Blender-executable Python scripts which render complex scenes with up to a hu…