Gedas Bertasius
Assistant Professor
I am an Assistant Professor in the Computer Science department at the University of North Carolina, Chapel Hill. Before joining UNC, I was a postdoctoral researcher at Facebook AI Research (FAIR) working with Lorenzo Torresani. I finished my Ph.D. at the University of Pennsylvania, advised by Jianbo Shi, and my undergraduate degree at Dartmouth College.
Research
I lead the Multimodal Video Perception (MVP) group at UNC. The long-term goal of our research is to develop machines that understand human behavior from video. We build models that perceive long, multimodal videos, reason about why events unfold and what may happen next, and use these inferences for coaching, task assistance, and robotic action. Representative projects include TimeSformer, Video ReCap, LLoVi, BIMBA, VideoTree.
Video Recognition
Developing spatiotemporal models for automatic video analysis (e.g., TimeSformer, ViS4mer).
Multimodal AI
Building models that can learn from video, audio, and text (e.g., Video ReCap, LLoVi, BIMBA).
Perceptual AI Coaches
Sports & AI
Generative Video Modeling
Translating visual inputs into effective real-world actions (e.g., WatchAct, BOSS, ReBot, and ARCADE)
Selected Projects
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence
Yulu Pan, Han Yi, Seongsu Ha, Md Mohaiminul Islam, Benjamin Zhang, Lorenzo Torresani, Gedas Bertasius
ECCV 2026
[arxiv] [video] [project page] [extended paper] [code] [data] [bibtex]
WatchAct: A Benchmark for Behavior-Grounded Robot Manipulation
Baiqi Li, Ce Zhang, Yu Fang, Yue Yang, Shangzhe Li, Mingyu Ding, Gedas Bertasius
arXiv 2026
[arxiv] [project page] [code] [data] [bibtex]
SiLVR: A Simple Language-based Video Reasoning Framework
Ce Zhang, Yan-Bo Lin, Ziyang Wang, Mohit Bansal, Gedas Bertasius
TMLR 2026 (1st Place, CVPR Multi-Discipline Lecture Understanding Challenge)
[arxiv] [project page] [code] [bibtex]
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Gedas Bertasius, ... , Michael Wray
CVPR 2024
Video ReCap: Recursive Captioning of Hour-Long Videos
Md Mohaiminul Islam, Ngan Ho, Xitong Yang, Tushar Nagarajan, Lorenzo Torresani, Gedas Bertasius
CVPR 2024 (Egocentric Vision Distinguished Paper Award)
[arxiv] [project website] [code] [dataset] [bibtex]
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius, Heng Wang, Lorenzo Torresani
ICML 2021 (Top-5 Most Cited ICML 2021 Paper)
[arxiv] [code] [talk] [slides] [blog] [VentureBeat] [SiliconAngle] [bibtex]
Sponsors
We are grateful for the following agencies for supporting our research.
