Jongbin Ryu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 32

Top Topics

Face Recognition

Image Classification

Top Venues

IEEE Signal Process. Lett.

Publications

Wongi Park, Jongbin Ryu
Fine-Grained Self-Supervised Learning with Jigsaw puzzles for medical image classification. Comput. Biol. Medicine 174 (2024)
Hankyul Kang, Namkug Kim, Jongbin Ryu
Attentional decoder networks for chest X-ray image recognition on high-resolution features. Comput. Methods Programs Biomed. 251 (2024)
Inhyuk Park, Won Hwa Kim, Jongbin Ryu
Style-KD: Class-imbalanced medical image classification via style knowledge distillation. Biomed. Signal Process. Control. 91 (2024)
Hankyul Kang, Ming-Hsuan Yang, Jongbin Ryu
Interactive Multi-Head Self-Attention with Linear Complexity. CoRR (2024)
Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. 97 (2024)
Jongbin Ryu, Dongyoon Han, Jongwoo Lim
Gramian Attention Heads are Strong yet Efficient Vision Learners. ICCV (2023)
Myeong Seong Yoon, Gitaek Kwon, Jaehoon Oh, Jongbin Ryu, Jongwoo Lim, Bokyeong Kang, Juncheol Lee, Dong-Kyoon Han
Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography. J. Digit. Imaging 36 (3) (2023)
Wongi Park, Inhyuk Park, Sungeun Kim, Jongbin Ryu
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning. ICCV (Workshops) (2023)
Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR (2023)
Jongbin Ryu, Dongyoon Han, Jongwoo Lim
Gramian Attention Heads are Strong yet Efficient Vision Learners. CoRR (2023)
Wongi Park, Jongbin Ryu
Fine-Grained Self-Supervised Learning with Jigsaw Puzzles for Medical Image Classification. CoRR (2023)
Wongi Park, Inhyuk Park, Sungeun Kim, Jongbin Ryu
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning. CoRR (2023)
Junhyung Go, Jongbin Ryu
Spatial Bias for Attention-free Non-local Neural Networks. CoRR (2023)
Jongbin Ryu, Ming-Hsuan Yang, Jongwoo Lim
Unsupervised feature learning for self-tuning neural networks. Neural Networks 133 (2021)
Dongjoo Yun, Jongbin Ryu, Jongwoo Lim
Dual aggregated feature pyramid network for multi label classification. Pattern Recognit. Lett. 144 (2021)
Changhee Won, Jongbin Ryu, Jongwoo Lim
End-to-End Learning for Omnidirectional Stereo Matching With Uncertainty Prior. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Sungeun Hong, Jongbin Ryu
Unsupervised Face Domain Transfer for Low-Resolution Face Recognition. IEEE Signal Process. Lett. 27 (2020)
Jongbin Ryu, Jiun Bae, Jongwoo Lim
Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation. CoRR (2020)
Jongbin Ryu, Gitaek Kwon, Ming-Hsuan Yang, Jongwoo Lim
Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition. ICLR (2020)
Changhee Won, Jongbin Ryu, Jongwoo Lim
SweepNet: Wide-baseline Omnidirectional Depth Estimation. CoRR (2019)
Changhee Won, Jongbin Ryu, Jongwoo Lim
OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching. CoRR (2019)
Changhee Won, Jongbin Ryu, Jongwoo Lim
OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching. ICCV (2019)
Changhee Won, Jongbin Ryu, Jongwoo Lim
SweepNet: Wide-baseline Omnidirectional Depth Estimation. ICRA (2019)
Hakjin Lee, Jongbin Ryu, Jongwoo Lim
Joint Object Tracking and Segmentation with Independent Convolutional Neural Networks. CoVieW@MM (2018)
Sungeun Hong, Jongbin Ryu, Hyun Seung Yang
Not all frames are equal: aggregating salient features for dynamic texture classification. Multidimens. Syst. Signal Process. 29 (1) (2018)
Sungeun Hong, Jongbin Ryu, Woobin Im, Hyun Seung Yang
D3: Recognizing dynamic scenes with deep dual descriptor based on key frames and key segments. Neurocomputing 273 (2018)
Jongbin Ryu, Ming-Hsuan Yang, Jongwoo Lim
DFT-based Transformation Invariant Pooling Layer for Visual Classification. ECCV (14) (2018)
Sungeun Hong, Woobin Im, Jongbin Ryu, Hyun Seung Yang
SSPP-DAN: Deep domain adaptation network for face recognition with single sample per person. ICIP (2017)
Sungeun Hong, Woobin Im, Jongbin Ryu, Hyun Seung Yang
SSPP-DAN: Deep Domain Adaptation Network for Face Recognition with Single Sample Per Person. CoRR (2017)
Sungeun Hong, Jongbin Ryu, Woobin Im, Hyun Seung Yang
Recognizing Dynamic Scenes with Deep Dual Descriptor based on Key Frames and Key Segments. CoRR (2017)
Jongbin Ryu, Hyun Seung Yang
Locality-preserving descriptor for robust texture feature representation. Neurocomputing 214 (2016)
Jongbin Ryu, Sungeun Hong, Hyun Seung Yang
Sorted Consecutive Local Binary Pattern for Texture Classification. IEEE Trans. Image Process. 24 (7) (2015)