Youngmin Oh

Youngmin Oh

PhD Student
Computer Vision Lab @ Yonsei University
youngmin.oh@yonsei.ac.kr

Scholar | CV

My research interests are in machine learning and computer vision.
I received the B.S. degree in Electrical and Electronic Engineering from Yonsei University, Korea (2013-2019).

Publications

	Subnet-Aware Dynamic Supernet Training for Neural Architecture Search Jeimin Jeon, Youngmin Oh, Junghyup Lee, Donghyeon Baek, Dohyung Kim, Chanho Eom, Bumsub Ham In CVPR, 2025 [arXiv] [Github (code)] [Bibtex]
	Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions Youngmin Oh, Hyunju Lee, Bumsub Ham In AAAI, 2025 [arXiv] [Github (code)] [Poster] [Bibtex]
	FYI: Flip Your Images for Dataset Distillation Byunggwan Son, Youngmin Oh, Donghyeon Baek, Bumsub Ham In ECCV, 2024 [arXiv] [Github (code)] [Bibtex]
	ACLS: Adaptive and Conditional Label Smoothing for Network Calibration Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham In ICCV, 2023 - (oral presentation) [arXiv] [Github (code)] [Bibtex]
	ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation Youngmin Oh, Donghyeon Baek, Bumsub Ham In NeurIPS, 2022 [arXiv] [Github (code)] [Poster] [Bibtex]
	Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation Donghyeon Baek, Youngmin Oh, Sanghoon Lee, Junghyup Lee, Bumsub Ham In NeurIPS, 2022 [arXiv] [Github (code)] [Bibtex]
	OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham In ECCV, 2022 [arXiv] [Github (code)] [Bibtex]
	Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation Donghyeon Baek, Youngmin Oh, Bumsub Ham (: equal contribution) In ICCV*, 2021 [arXiv] [Github (code)] [Poster] [Bibtex]
	Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation Youngmin Oh, Beomjun Kim, Bumsub Ham In CVPR, 2021 [arXiv] [Github (code)] [Poster] [Bibtex]