3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 2 cited
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise
Yeonguk Yu, Minhwan Ko, Sungho Shin +2
Deep neural networks have demonstrated remarkable performance in various vision tasks, but their success heavily depends on the quality of the training data. Noisy labels are a cri…
cs.LG2024★ 1 cited
MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction
Seongju Lee, Junseok Lee, Yeonguk Yu +2
Multi-agent trajectory prediction is crucial to autonomous driving and understanding the surrounding environment. Learning-based approaches for multi-agent trajectory prediction, s…
cs.CV2023★ 3 cited
Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge Distillation
Sungho Shin, Yeonguk Yu, Kyoobin Lee
In this study, we introduce a feature knowledge distillation framework to improve low-resolution (LR) face recognition performance using knowledge obtained from high-resolution (HR…