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Computer Vision & Deep Learning & AI
Jin Sun
Assistant Professor in the School of Computing and Faculty Fellow at the Institute for AI at the University of Georgia.
I care deeply about solving fundamental questions in computer vision and general AI, and about building on these results to create models and tools that push the boundary of science and improve people's quality of life.
June 2026, Denver, Colorado
新闻
News
Highlights
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研究
Research
Understanding our world using visual data with state-of-the-art deep learning — and applying it to create meaningful impact across science and society.
Computer Vision
Core problems that shape how intelligent systems see, interpret, and generate the visual world, and how to build models that do these things well.
Generation
Editing
Object Recognition
3D Geometry
Lighting
Context Modeling
Human Analysis
Visual Reasoning
Fundamental AI
How deep neural networks behave, learn, generalize, and build useful multimodal representations.
Neural Networks
Multimodal
LLM
VLM
LMM
Generalization
Interpretability
Representation Learning
Learning with limited data and labels
AI for Science & Society
How to create meaningful impact through AI beyond traditional computer vision and machine learning applications.
Agriculture
BioScience
Geography
Health
Public Safety
Transportation
Education
Selected Publications
Full list on Google Scholar →A selection of recent and representative publications. For a full, up-to-date list, please see my Google Scholar profile.
No publications match the current filters.
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教学
Teaching
Courses in computer vision, deep learning, data science, and representation learning at the undergraduate and graduate levels.
Current · Fall 2026
CSCI 8945 — Advanced Representation Learning
Deep dive into representation learning and its applications; research project component.
Course information →Previous courses
简介
About
I'm currently an Assistant Professor in the School of Computing and a Faculty Fellow at the Institute for Artificial Intelligence at the University of Georgia. I'm also a Lilly Teaching Fellow.
I have spent wonderful years at the following places. Previously, I was a Postdoctoral Associate at Cornell Tech, working with Prof. Noah Snavely. I received my PhD in Computer Science from the University of Maryland, advised by Prof. David Jacobs. I was in a 3+2 program, receiving a Master's degree in Computer and Information Science from Temple University, advised by Prof. Haibin Ling, and a Bachelor's degree in Automation from the University of Science and Technology of China (USTC).
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2022 – PresentAssistant ProfessorSchool of Computing
University of Georgia
Athens, Georgia, United States -
2018 – 2021Postdoctoral AssociateCornell Tech
New York, New York, United States -
PhDComputer ScienceUniversity of Maryland
College Park, Maryland, United States -
MSComputer and Information ScienceTemple University
Philadelphia, Pennsylvania, United States -
BEngAutomationUniversity of Science and Technology of China (USTC)
Hefei, Anhui, China
Professional Bio
Dr. Jin Sun is an Assistant Professor in the School of Computing and a Faculty Fellow at the Institute for Artificial Intelligence at the University of Georgia. He is also a Lilly Teaching Fellow. His main research area is computer vision—understanding the world using visual data with the help of state-of-the-art deep learning models. In particular, he is passionate about understanding objects in diverse and complex environments using images and videos. He is actively collaborating with researchers to apply AI in interdisciplinary research to push the boundaries of scientific discovery and improve people's quality of life. His work has been published in top computer vision and machine learning conferences such as CVPR, ECCV, ICCV, NeurIPS, ICML, and ICLR. His research work has been selected as Notable Books and Articles in ACM Computing Reviews in 2014 and Best Paper Nominee in CVPR 2020.