activity
20232025
most citedEgo-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

20 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025★ 1 cited

SAM 3D: 3Dfy Anything in Images

SAM 3D Team, Xingyu Chen, Fu-Jen Chu +20

We present SAM 3D, a generative model for visually grounded 3D object reconstruction, predicting geometry, texture, and layout from a single image. SAM 3D excels in natural images,…

cs.CV2025

Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models

Runsen Xu, Weiyao Wang, Hao Tang +5

Multi-modal large language models (MLLMs) have rapidly advanced in visual tasks, yet their spatial understanding remains limited to single images, leaving them ill-suited for physi…

cs.CV2025

HOIGPT: Learning Long Sequence Hand-Object Interaction with Language Models

Mingzhen Huang, Fu-Jen Chu, Bugra Tekin +10

We introduce HOIGPT, a token-based generative method that unifies 3D hand-object interactions (HOI) perception and generation, offering the first comprehensive solution for caption…

cs.CV2024

Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos

Md Mohaiminul Islam, Tushar Nagarajan, Huiyu Wang +4

Goal-oriented planning, or anticipating a series of actions that transition an agent from its current state to a predefined objective, is crucial for developing intelligent assista…

cs.CV2024★ 1 cited

Unlocking Exocentric Video-Language Data for Egocentric Video Representation Learning

Zi-Yi Dou, Xitong Yang, Tushar Nagarajan +5

We present EMBED (Egocentric Models Built with Exocentric Data), a method designed to transform exocentric video-language data for egocentric video representation learning. Large-s…

cs.LG2023★ 1 cited

HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings

Nikhil Mehta, Kevin J Liang, Jing Huang +3

Out-of-distribution (OOD) detection is an important topic for real-world machine learning systems, but settings with limited in-distribution samples have been underexplored. Such f…

cs.CV2023★ 20 cited

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Kristen Grauman, Andrew Westbury, Lorenzo Torresani +98

We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric and exocentric…