Yeonguk Yu

20 papers A* 3Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
3D Flow Diffusion Policy: Visuomotor Policy Learning via Generating Flow in 3D Space.
CoRR
Sangjun Noh, Dongwoo Nam, Kangmin Kim, Geonhyup Lee, Yeonguk Yu, Raeyoung Kang, Kyoobin Lee
2024 A* conf
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise.
NeurIPS
Yeonguk Yu, Minhwan Ko, Sungho Shin, Kangmin Kim, Kyoobin Lee
2024 J jnl
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise.
CoRR
Yeonguk Yu, Minhwan Ko, Sungho Shin, Kangmin Kim, Kyoobin Lee
2024 A* conf
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation.
CVPR
Yeonguk Yu, Sungho Shin, Seunghyeok Back, Minhwan Ko, Sangjun Noh, Kyoobin Lee
2024 J jnl
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation.
CoRR
Yeonguk Yu, Sungho Shin, Seunghyeok Back, Minhwan Ko, Sangjun Noh, Kyoobin Lee
2024 J jnl
Exploring using jigsaw puzzles for out-of-distribution detection.
Comput. Vis. Image Underst.
Yeonguk Yu, Sungho Shin, Minhwan Ko, Kyoobin Lee
2024 — conf
MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction.
ECCV (66)
Seongju Lee, Junseok Lee, Yeonguk Yu, Taeri Kim, Kyoobin Lee
2024 J jnl
MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction.
CoRR
Seongju Lee, Junseok Lee, Yeonguk Yu, Taeri Kim, Kyoobin Lee
2024 J jnl
SleePyCo: Automatic sleep scoring with feature pyramid and contrastive learning.
Expert Syst. Appl.
Seongju Lee, Yeonguk Yu, Seunghyeok Back, Hogeon Seo, Kyoobin Lee
2023 A* conf
Block Selection Method for Using Feature Norm in Out-of-Distribution Detection.
CVPR
Yeonguk Yu, Sungho Shin, Seongju Lee, Changhyun Jun, Kyoobin Lee
2023 J jnl
Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge Distillation.
CoRR
Sungho Shin, Yeonguk Yu, Kyoobin Lee
2022 J jnl
Block Selection Method for Using Feature Norm in Out-of-distribution Detection.
CoRR
Yeonguk Yu, Sungho Shin, Seongju Lee, Changhyun Jun, Kyoobin Lee
2022 J jnl
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning.
CoRR
Seongju Lee, Yeonguk Yu, Seunghyeok Back, Hogeon Seo, Kyoobin Lee
2022 — conf
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition.
ECCV (12)
Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, Kyoobin Lee
2022 J jnl
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition.
CoRR
Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, Kyoobin Lee
2021 J jnl
Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster.
IEEE Access
Seunghyeok Back, Seongju Lee, Sungho Shin, Yeonguk Yu, Taekyeong Yuk, Saepomi Jong, Seungjun Ryu, Kyoobin Lee
2021 — conf
Selection of Class-conditional Filters for Semantic Shifted OOD Detection.
UR
Yeonguk Yu, Sungho Shin, Jongwon Kim, Kyoobin Lee
2020 — conf
Multiple Classification with Split Learning.
SMA
Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee
2020 J jnl
Multiple Classification with Split Learning.
CoRR
Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee
2019 J jnl
Two-Dimensional Attention-Based LSTM Model for Stock Index Prediction.
J. Inf. Process. Syst.
Yeonguk Yu, Yoon-Joong Kim