170 citations · 265 across the 25 of their papers we have counts for
3 papers · 1 filter
TAO-Amodal: A Benchmark for Tracking Any Object Amodally
Cheng-Yen Hsieh, Kaihua Chen, Achal Dave +2
Amodal perception, the ability to comprehend complete object structures from partial visibility, is a fundamental skill, even for infants. Its significance extends to applications…
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models
Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov +3
Object tracking is central to robot perception and scene understanding. Tracking-by-detection has long been a dominant paradigm for object tracking of specific object categories. R…
Shape of You: Precise 3D shape estimations for diverse body types
Rohan Sarkar, Achal Dave, Gerard Medioni +1
This paper presents Shape of You (SoY), an approach to improve the accuracy of 3D body shape estimation for vision-based clothing recommendation systems. While existing methods hav…