I am an associate professor of Artificial Intelligence and Computer Science at POSTECH, and a faculty member of POSTECH Computer Vision Lab. I did a post-doc with Dr. Ivan Laptev and Prof. Jean Ponce in the WILLOW team at the Department of Computer Science of the École Normale Supérieure and Inria Paris. I completed my BS and PhD at POSTECH where I worked with Prof. Joon Hee Han and Prof. Bohyung Han.
My research lies in computer vision and machine learning. I am particularly interested in developing vision models working in real-world scenarios, e.g., open-set/domain recognition, models robust against adverse conditions, and learning with limited/noisy labels or biased data.
A paper on domain generalization is accepted in ICRA 2023.
A paper on few-shot metric learning is accepted in ACCV 2022. A paper on learning debiased classifiers is accepted in NeurIPS 2022. Two papers on domain adaptation and generalization are accepted in ECCV 2022. A paper on weakly supervised learning is accepted in IJCV. Eight papers (including one best paper finalist) are accepted in CVPR 2022.
Our paper on foggy scene segmentation was nominated as a best paper finalist in CVPR 2022. Five students of our team won the Qualcomm Innovation Fellowship 2022. Namyup won the NAVER Ph.D Fellowship. Namyup and Jungwoo won the POSTECHIAN Fellowship. Sehyun, Sohyun, and Sungyeon won the gold prize at IPIU 2022.
Our proposal (as the PI) is awarded the prestigious Samsung Science and Technology Foundation research grant.
Selected Recent Publications
Learning Debiased Classifier with Biased Committee
Conference on Neural Information Processing Systems (NeurIPS), 2022
Editorial Board Member
- International Journal of Computer Vision (IJCV), 2021 ~ present
Area Chair / Senior Program Committee
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 2023
- IEEE/CVF International Conference on Computer Vision (ICCV), 2019, 2021, 2023
- IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
- Asian Conference on Computer Vision (ACCV), 2022
- International Conference on Machine Vision Applications (MVA), 2021, 2023