Gedas Bertasius
Assistant Professor
I am an Assistant Professor in the Computer Science department at the University of North Carolina, Chapel Hill. My research interests are in computer vision and machine learning. In particular, I'm interested in video understanding, human behavior modeling, and multi-modal deep learning. I'm also passionate about using computer vision for advanced sports analytics.
Research Overview
Video Recognition
Developing spatiotemporal models for automatic video analysis.
Virtual AI Assistants
Multimodal Learning
Building models that learn from video, audio, and text.
Computer Vision for Sports
Designing video-based AI models that can help people with various daily tasks.
Developing computer vision tools for advanced sports analytics.
Selected Projects
A Simple LLM Framework for Long-Range Video Question-Answering
Ce Zhang, Taixi Lu, Md Mohaiminul Islam, Ziyang Wang, Shoubin Yu, Mohit Bansal, Gedas Bertasius
EMNLP 2024
Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos
Md Mohaiminul Islam, Tushar Nagarajan, Huiyu Wang, Fu-Jen Chu, Kris Kitani, Gedas Bertasius, Xitong Yang
ECCV 2024 (Oral)
[arxiv] [project page] [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
[arxiv] [project website] [code] [dataset] [bibtex]
VindLU: A Recipe for Effective Video-and-Language Pretraining
Feng Cheng, Xizi Wang, Jie Lei, David Crandall, Mohit Bansal, Gedas Bertasius
CVPR 2023
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius, Heng Wang, Lorenzo Torresani
ICML 2021
[arxiv] [code] [talk] [slides] [blog] [VentureBeat] [SiliconAngle] [bibtex]