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Home/Authors/Youngmin Oh

Youngmin Oh

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 3:13 AM AMS

9

papers

361

total citations

papers (9)

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

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

Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation

NEURIPS 2022arXiv

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

NEURIPS 2022arXiv

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

ACLS: Adaptive and Conditional Label Smoothing for Network Calibration

MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection

Subnet-Aware Dynamic Supernet Training for Neural Architecture Search

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