Junsuk Choe
Assistant Professor
Department of Computer Science and Engineering
Office: AS-913
Email: jschoe at sogang dot ac dot kr
CV / Google Scholar / Github
I am an Assistant Professor in the Department of Computer Science and Engineering at Sogang University. Before joining Sogang University in Fall 2021, I spent two wonderful years as a Research Intern and then a Research Scientist at NAVER AI Lab, where I had the good fortune to work with Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Sanghyuk Chun, Byeongho Heo, and Jung-Woo Ha. I obtained my Ph.D. from the Yonsei University in 2020 under the supervision of Prof. Hyunjung Shim, and my B.S. also from the Yonsei University in 2013.
News
9/2021: I joined the Dept. of CSE at Sogang University as an Assistant Professor
7/2021: 4 papers accepted to ICCV 2021
6/2021 : I was recognized as an outstanding reviewer by CVPR 2021
3/2021: 1 paper accepted to PR (IF:7.196)
2/2021: 1 paper accepted to CVPR 2021
5/2020: 1 paper accepted to PAMI (IF: 17.861)
2/2020: 1 paper accepted to CVPR 2020
7/2019: 1 paper accepted to ICCV 2019 (oral presentation)
3/2019: 1 paper accepted to CVPR 2019 (oral presentation)
In 2018: 1 paper accepted to Information Sciences (IF: 5.524)
Research Interests
My recent research interest are in building a machine that can robustly understand the visual world only with minimal human supervision. In particular, I am interested in learning from imperfect data, such as self-supervised, semi-supervised, and weakly-supervised learning for pattern recognition problems.
Teaching
CSE2003: Computer Programming (Spring 2022)
CSE3080: Data Structure (Spring 2022)
CSE3015: Introduction to Digital Circuits (Fall 2021)
CSE4120: Fundamentals of Compiler Construction (Fall 2021)
Selected Publications (2019-2021)
Attention-based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation
Junsuk Choe*, Seungho Lee*, and Hyunjung Shim. (* indicates equal contribution)
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2021. (IF: 17.861)
Keep CALM and Improve Visual Feature Attribution
Jae Myung Kim*, Junsuk Choe*, Zeynep Akata, Seong Joon Oh. (* indicates equal contribution)
International Conference on Computer Vision (ICCV), 2021.
Normalization Matters in Weakly Supervised Object Localization
Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak.
International Conference on Computer Vision (ICCV), 2021.
Contrastive Attention Maps for Self-supervised Co-localization
Minsong Ki, Youngjung Uh, Junsuk Choe, Hyeran Byun.
International Conference on Computer Vision (ICCV), 2021.
[pdf] [code]
Rethinking Spatial Dimensions of Vision Transformers
Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh.
International Conference on Computer Vision (ICCV), 2021.
Region-based Dropout with Attention Prior for Weakly Supervised Object Localization
Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim.
Pattern Recognition (PR), 2021. (IF: 7.196)
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Evaluating Weakly Supervised Object Localization Methods Right
Junsuk Choe*, Seong Joon Oh*, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim. (* indicates equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo.
International Conference on Computer Vision (ICCV), 2019. (Oral presentation)
Attention-based Dropout Layer for Weakly Supervised Object Localization
Junsuk Choe, and Hyunjung Shim.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (Oral presentation)