Jinwoo Choi's Homepage
Jinwoo Choi (최진우), Ph.D.
Assistant Professor
Contact
E-mail: jinwoochoi [at] khu [dot] ac [dot] kr (official)
Tel: +82-31-201-3758
Office: 324 Electronic Information College Building, 1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do, Rep. of Korea, 17104
CV / Google Scholar / GitHub / LinkedIn
About Me
I am an Assistant Professor in the Department of Computer Science Engineering, Kyung Hee University, leading the Vision and Learning Lab. I obtained a Ph.D. from the Bradley Department of Electrical and Computer Engineering, Virginia Tech, in 2020 advised by Jia-Bin Huang. I am lucky to have the opportunity to work with Gaurav Sharma, Samuel Schulter, and Manmohan Chandraker from NEC Labs America. From March 2010 to July 2015, I completed my military duty at the Electronics and Telecommunications Research Institute (ETRI), the Republic of Korea as a computer vision researcher. Before that, I completed my master's degree at Seoul National University (SNU) advised by Sang-Uk Lee. During my master's course, I closely collaborated with Chang-Su Kim.
Research Interests
Computer Vision and Machine Learning
I am especially interested in human activity understanding, video representation learning, domain adaptation and mitigating biases in visual recognition.
I am also interested in object detection, semantic segmentation, scene understanding and other visual recognition problems.
Education
2020 : Ph.D. in Computer Engineering, Virginia Tech.
2010 : M.S. in Electrical Engineering and Computer Science, Seoul National University (SNU), Seoul, Korea.
2008 : B.S. in Electrical Engineering, Seoul National University (SNU), Seoul, Korea.
News
Aug. 2024 One paper is accepted to ECCV 2024 as an Oral.
Mar. 2024 I serve as an Industry Chair of KCCV 2024, Busan, Korea.
Feb. 2024 Two papers are accepted to CVPR 2024.
Oct. 2023 One paper is accepted to WACV 2024.
Sep. 2023 One paper is accepted to NeurIPS 2023.
Nov. 2022 Selected as an outstanding reviewer at ECCV 2022.
Nov. 2022 I will be serving as a reviewer of CVPR 2023.
Aug. 2022 I will be serving as a reviewer of ICLR 2022 and a PC (reviewer) of AAAI 2023.
Jul. 2022 I will be serving as a reviewer of NeurIPS 2022.
Mar. 2022 One paper is accepted to ICPR 2022.
Mar. 2022 I will be serving as a reviewer of ECCV 2022.
Feb. 2022 Jongseo Lee (KHU BME) joined our lab as an undergraduate intern!
Jul. 2021 I launched KHU Vision and Learning Reading Group with Prof. Seong Tae Kim and Prof. Gyeong-Moon Park at KHU CS.
Jul. 2021 Hyogun Lee (KHU EE) joined our lab as an undergraduate intern!
Jun. 2021 Dongho Lee and Jongmin (Paul) Shin joined our lab as master students, and Gyeongho Bae (KHU CSE) joined our lab as an undergraduate intern!
May. 2021 Selected as an outstanding reviewer at CVPR 2021.
Mar. 2021 I joined the Department of Computer Science Engineering, Kyung Hee University, as an Assistant Professor. Drop me an email with your CV if you are interested in working with me on computer vision, machine learning, and video understanding problems!
Feb. 2021 Selected as Top 25% program committee of AAAI 2021.
Feb. 2021 I will be serving as a reviewer of ICCV 2021.
Dec. 2020 I successfully defended my Ph.D. dissertation.
Selected Publications
- DEVIAS: Learning Disentangled Video Representations of Action and Scene
European Conference on Computer Vision (ECCV) 2024. (Oral presentation, 2.4% acceptance rate) [arXiv]
Kyungho Bae†, Geo Ahn†, Youngrae Kim†, Jinwoo Choi*
(† equally contributed first authors, * indicates the corresponding author)
- Open Set Domain Adaptation for Semantic Segmentation
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Seun-An Choe†, Ah-Hyung Shin†, Keon-Hee Park, Jinwoo Choi*, Gyeong-Moon Park*
(† equally contributed first authors, * indicates the corresponding author)
- Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi*,Seong Tae Kim*
(† equally contributed first authors, * indicates the corresponding author)
- CAST: Cross-Attention in Space and Time for Video Action Recognition
Proceedings of Neural Information Processing Systems (NeurIPS), 2023. [arXiv] [project page] [code]
Dongho Lee†, Jongseo Lee†, Jinwoo Choi*
(† equally contributed first authors, * indicates the corresponding author)
- Learning Representational Invariances for Data-Efficient Action Recognition
Computer Vision and Image Understanding (CVIU) 2023. [pdf] [arXiv] [project page] [code]
Yuliang Zou, Jinwoo Choi*, Qitong Wang, and Jia-Bin Huang
(* indicates the corresponding author)
- Shuffle and Attend: Video Domain Adaptation
European Conference on Computer Vision (ECCV) 2020. (26.4% acceptance rate) [pdf] [project page] [short talk] [long talk] [supplementary]
Jinwoo Choi, Gaurav Sharma, Samuel Schulter, and Jia-Bin Huang
- Unsupervised and Semi-Supervised Domain Adaptation for Action Recognition from Drones
Winter Conference on Applications of Computer Vision (WACV) 2020. (Oral presentation) [pdf] [project page] [talk video]
Jinwoo Choi, Gaurav Sharma, Manmohan Chandraker, and Jia-Bin Huang
- Why Can’t I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Proceedings of Neural Information Processing Systems (NeurIPS), 2019. (21.2% acceptance rate) [pdf] [arXiv] [project page] [code] [poster]
Jinwoo Choi, Chen Gao, Joseph Messou, and Jia-Bin Huang
- The Visual Object Tracking VOT2014 Challenge Results
European Conference on Computer Vision (ECCV) Workshop, 2014. [pdf, slide]
Matej Kristan et al. (including Jinwoo Choi),