Joungbin An

I am a first-year Ph.D. student at UT Austin advised by Professor Kristen Grauman. Before joining UT, I received my M.S. and B.S. from Yonsei University, where I was advised by Professor Seon Joo Kim during my master's studies.

My primary research areas are computer vision and deep learning, with specific interests in video understanding, perception for action, vision for robotics, and representation learning. 


CV / Google Scholar / LinkedIn


Research Objective

My recent interests have centered around visual exteroceptive intelligence where I am particularly drawn to using videos as a source to address real-world challenges. 

News

[Feb. 2025] ProgressCaptioner accepted to CVPR 2025!

[July 2024] ActionSwitch accepted to ECCV 2024!

[May 2024] Ego-OAD accepted to CVPR Workshop 2024! 

[April 2024] I will be joining UT Austin CS as a Ph.D. student starting Fall of 2024!

[July 2023] MiniROAD accepted to ICCV 2023!

[Feb. 2023] SoLa accepted to CVPR 2023!

[Oct. 2022] Two of my undergraduate research projects have been accepted for publication in IEEE Sensors and Knowledge-Based Systems!

[June 2022] I have been awarded Hyundai Motor Chung Mong-Koo Scholarship!

 Publications

Progress-Aware Video Frame Captioning

Zihui Xue, Joungbin An, Xitong Yang, Kristen Grauman

CVPR 2025

Project Page / Paper 

ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Video

Hyolim Kang, Jeongseok Hyun, Joungbin An, Youngjae Yu, Seon Joo Kim

ECCV 2024

Project Page / Paper / Code 

Object Aware Egocentric Online Action Detection

Joungbin An, Yunsu Park, Hyolim Kang, Seon Joo Kim

CVPR EgoVis Workshop 2024

Paper

MiniROAD: Minimal RNN Framework for Online Action Detection

Joungbin An, Hyolim Kang, Su Ho Han, Ming-Hsuan Yang, Seon Joo Kim

ICCV 2023

Paper / Code 

Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks

Hyolim Kang, Hanjung Kim, Joungbin An, Minsu Cho, Seon Joo Kim

CVPR 2023

Paper / Code 

DATa: Domain adaptation-aided deep table detection using visual-lexical representations

Hyebin Kwon, Joungbin An, Dongwoo Lee, Won-Yong Shin

Knowledge-Based Systems 2022 (IF=7.2, Q1)

Paper

Quantitative Two-Stage Classification of Gas Mixtures Using 2D TMDC and PGM Chalcogenides

Inkyu Sohn*, Joungbin An*, Dain Shin, Jaehyeok Kim, Tatsuya Nakazawa,Yohei Kotsugi, Soo-Hyun Kim, Won-Yong Shin, Seung min Chung, and Hyungjun Kim

(*equal contribution)

IEEE Sensors Journal 2022 (IF=4.3, Q1)

Paper