Youngmin Oh

Orcid: 0009-0006-5568-2127

Affiliations:
  • Yonsei University, Seoul, Korea


According to our database1, Youngmin Oh authored at least 10 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Online presence:

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Bibliography

2025
Subnet-Aware Dynamic Supernet Training for Neural Architecture Search.
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.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
PLoPS: Localization-aware person search with prototypical normalization.
Pattern Recognit., 2024

FYI: Flip Your Images for Dataset Distillation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation.
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.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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