Youngmin Oh

20 papers A* 7Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions.
AAAI
Youngmin Oh, Hyunju Lee, Bumsub Ham
2025 J jnl
GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search.
CoRR
Hyunju Lee, Youngmin Oh, Jeimin Jeon, Donghyeon Baek, Bumsub Ham
2025 A* conf
Subnet-Aware Dynamic Supernet Training for Neural Architecture Search.
CVPR
Jeimin Jeon, Youngmin Oh, Junghyup Lee, Donghyeon Baek, Dohyung Kim, Chanho Eom, Bumsub Ham
2025 J jnl
Subnet-Aware Dynamic Supernet Training for Neural Architecture Search.
CoRR
Jeimin Jeon, Youngmin Oh, Junghyup Lee, Donghyeon Baek, Dohyung Kim, Chanho Eom, Bumsub Ham
2024 J jnl
Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions.
CoRR
Youngmin Oh, Hyunju Lee, Bumsub Ham
2024 — conf
FYI: Flip Your Images for Dataset Distillation.
ECCV (50)
Byunggwan Son, Youngmin Oh, Donghyeon Baek, Bumsub Ham
2024 J jnl
FYI: Flip Your Images for Dataset Distillation.
CoRR
Byunggwan Son, Youngmin Oh, Donghyeon Baek, Bumsub Ham
2024 J jnl
PLoPS: Localization-aware person search with prototypical normalization.
Pattern Recognit.
Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham
2023 A* conf
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration.
ICCV
Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham
2023 J jnl
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration.
CoRR
Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham
2022 A* conf
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation.
NeurIPS
Youngmin Oh, Donghyeon Baek, Bumsub Ham
2022 J jnl
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation.
CoRR
Youngmin Oh, Donghyeon Baek, Bumsub Ham
2022 A* conf
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation.
NeurIPS
Donghyeon Baek, Youngmin Oh, Sanghoon Lee, Junghyup Lee, Bumsub Ham
2022 J jnl
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation.
CoRR
Donghyeon Baek, Youngmin Oh, Sanghoon Lee, Junghyup Lee, Bumsub Ham
2022 — conf
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search.
ECCV (10)
Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham
2022 J jnl
OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search.
CoRR
Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham
2021 A* conf
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation.
CVPR
Youngmin Oh, Beomjun Kim, Bumsub Ham
2021 J jnl
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation.
CoRR
Youngmin Oh, Beomjun Kim, Bumsub Ham
2021 A* conf
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation.
ICCV
Donghyeon Baek, Youngmin Oh, Bumsub Ham
2021 J jnl
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation.
CoRR
Donghyeon Baek, Youngmin Oh, Bumsub Ham