Yeonguk Yu

According to our database, Yeonguk Yu authored at least 8 papers between 2019 and 2023.

Collaborative distances:

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

2023

Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge Distillation.

Sungho Shin, Yeonguk Yu, Kyoobin Lee

CoRR, 2023

Block Selection Method for Using Feature Norm in Out-of-Distribution Detection.

Yeonguk Yu, Sungho Shin, Seongju Lee, Changhyun Jun, Kyoobin Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning.

Seongju Lee, Yeonguk Yu, Seunghyeok Back, Hogeon Seo, Kyoobin Lee

CoRR, 2022

Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition.

Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, Kyoobin Lee

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster.

Seunghyeok Back, Seongju Lee, Sungho Shin, Yeonguk Yu, Taekyeong Yuk, Saepomi Jong, Seungjun Ryu, Kyoobin Lee

IEEE Access, 2021

Selection of Class-conditional Filters for Semantic Shifted OOD Detection.

Yeonguk Yu, Sungho Shin, Jongwon Kim, Kyoobin Lee

Proceedings of the 18th International Conference on Ubiquitous Robots, 2021

2020

Multiple Classification with Split Learning.

Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee

Proceedings of the SMA 2020: The 9th International Conference on Smart Media and Applications, Jeju, Republic of Korea, September 17, 2020

2019

Two-Dimensional Attention-Based LSTM Model for Stock Index Prediction.

Yeonguk Yu, Yoon-Joong Kim

J. Inf. Process. Syst., 2019