Youngmin Oh

According to our database, Youngmin Oh authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search.

Hyunju Lee, Youngmin Oh, Jeimin Jeon, Donghyeon Baek, Bumsub Ham

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Subnet-Aware Dynamic Supernet Training for Neural Architecture Search.

Jeimin Jeon, Youngmin Oh, Junghyup Lee, Donghyeon Baek, Dohyung Kim, Chanho Eom, Bumsub Ham

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions.

Youngmin Oh, Hyunju Lee, Bumsub Ham

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

PLoPS: Localization-aware person search with prototypical normalization.

Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham

Pattern Recognit., 2024

FYI: Flip Your Images for Dataset Distillation.

Byunggwan Son, Youngmin Oh, Donghyeon Baek, Bumsub Ham

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

ACLS: Adaptive and Conditional Label Smoothing for Network Calibration.

Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation.

Youngmin Oh, Donghyeon Baek, Bumsub Ham

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation.

Donghyeon Baek, Youngmin Oh, Sanghoon Lee, Junghyup Lee, Bumsub Ham

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search.

Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation.

Donghyeon Baek, Youngmin Oh, Bumsub Ham

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation.

Youngmin Oh, Beomjun Kim, Bumsub Ham

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021