Jinwoo Choi's Homepage

Jinwoo Choi (최진우), Ph.D.

Assistant Professor

Vision and Learning Lab

School of Computing

Kyung Hee University

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


Dec. 2024    One paper is accepted to AAAI 2025.

Oct. 2024    One paper is accepted to Image and Vision Computing (Impact Factor: 4.2, JCR IF Rank 16.8%).

Aug. 2024    One paper is accepted to ECCV 2024 as an Oral (2.3% acceptance rate).

Mar. 2024    I serve as an Industry Chair of KCCV 2024, Busan, Korea.

Feb. 2024    Two papers are accepted to CVPR 2024.

Sep. 2023    One paper is accepted to NeurIPS 2023.

Nov. 2022    Selected as an outstanding reviewer at ECCV 2022.

Jul.  2021    I launched KHU Vision and Learning Reading Group with Prof. Seong Tae Kim and Prof. Gyeong-Moon Park at KHU CS.

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.

Feb. 2021    Selected as Top 25% program committee of AAAI 2021.

Dec. 2020    I successfully defended my Ph.D. dissertation.

Selected Publications ( equally contributed first authors, * indicates the corresponding author)


- HiCM^2: Hierarchical Compact Memory Modeling for Dense Video Captioning.

To appear in AAAI Conference on Artificial Intelligence (AAAI), 2025. [arXiv]

Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi*, Seong Tae Kim*


- DEVIAS: Learning Disentangled Video Representations of Action and Scene

European Conference on Computer Vision (ECCV) 2024. (Oral presentation, 2.3% acceptance rate) [arXiv][project page][talk][code]

Kyungho Bae, Geo Ahn, Youngrae Kim, Jinwoo Choi*


- Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [arXiv][code]

Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi*, Seong Tae Kim*


- Open Set Domain Adaptation for Semantic Segmentation

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [arXiv][code]

Seun-An Choe†, Ah-Hyung Shin†, Keon-Hee Park, Jinwoo Choi*, Gyeong-Moon Park*


- 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*


- 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

     

- 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),