Real Time Eye Blinking Detection Using Local Ternary Pattern and SVM. - Jong Bin Ryu; Hyun Seung Yang; Yong-Ho Seo (BWCCA, 2013)

Sorted Consecutive Local Binary Pattern for Texture Classification. - Jongbin Ryu; Sungeun Hong; Hyun Seung Yang (IEEE Trans. Image Process., 2015)

Locality-preserving descriptor for robust texture feature representation. - Jongbin Ryu; Hyun Seung Yang (Neurocomputing, 2016)

SSPP-DAN: Deep domain adaptation network for face recognition with single sample per person. - Sungeun Hong; Woobin Im; Jongbin Ryu; Hyun Seung Yang (ICIP, 2017)

Recognizing Dynamic Scenes with Deep Dual Descriptor based on Key Frames and Key Segments. - Sungeun Hong; Jongbin Ryu; Woobin Im; Hyun Seung Yang (CoRR, 2017)

DFT-based Transformation Invariant Pooling Layer for Visual Classification. - Jongbin Ryu; Ming-Hsuan Yang 001; Jongwoo Lim (ECCV (14), 2018)

Joint Object Tracking and Segmentation with Independent Convolutional Neural Networks. - Hakjin Lee; Jongbin Ryu; Jongwoo Lim (CoVieW@MM, 2018)

D3: Recognizing dynamic scenes with deep dual descriptor based on key frames and key segments. - Sungeun Hong; Jongbin Ryu; Woobin Im; Hyun Seung Yang (Neurocomputing, 2018)

Not all frames are equal: aggregating salient features for dynamic texture classification. - Sungeun Hong; Jongbin Ryu; Hyun Seung Yang (Multidimens. Syst. Signal Process., 2018)

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching. - Changhee Won; Jongbin Ryu; Jongwoo Lim (ICCV, 2019)

SweepNet: Wide-baseline Omnidirectional Depth Estimation. - Changhee Won; Jongbin Ryu; Jongwoo Lim (ICRA, 2019)

Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition. - Jongbin Ryu; Gitaek Kwon; Ming-Hsuan Yang 001; Jongwoo Lim (ICLR, 2020)

Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation. - Jongbin Ryu; Jiun Bae; Jongwoo Lim (CoRR, 2020)

Unsupervised Face Domain Transfer for Low-Resolution Face Recognition. - Sungeun Hong; Jongbin Ryu (IEEE Signal Process. Lett., 2020)

Unsupervised feature learning for self-tuning neural networks. - Jongbin Ryu; Ming-Hsuan Yang 001; Jongwoo Lim (Neural Networks, 2021)

End-to-End Learning for Omnidirectional Stereo Matching With Uncertainty Prior. - Changhee Won; Jongbin Ryu; Jongwoo Lim (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Dual aggregated feature pyramid network for multi label classification. - Dongjoo Yun; Jongbin Ryu; Jongwoo Lim (Pattern Recognit. Lett., 2021)

Gramian Attention Heads are Strong yet Efficient Vision Learners. - Jongbin Ryu; Dongyoon Han; Jongwoo Lim (ICCV, 2023)

Robust Asymmetric Loss for Multi-Label Long-Tailed Learning. - Wongi Park; Inhyuk Park; Sungeun Kim; Jongbin Ryu (ICCV (Workshops), 2023)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 013; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (CoRR, 2023)

Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography. - Myeong Seong Yoon; Gitaek Kwon; Jaehoon Oh; Jongbin Ryu; Jongwoo Lim; Bokyeong Kang; Juncheol Lee; Dongkyoon Han (J. Digit. Imaging, 2023)

Neural Substitution for Branch-Level Network Re-parameterization. - Seungmin Oh; Jongbin Ryu (ACCV (8), 2024)

Generative Self-supervised Learning for Medical Image Classification. - Inhyuk Park; Sungeun Kim; Jongbin Ryu (ACCV (2), 2024)

Unsupervised Hashing Network with Hyper Quantization Tree. - Sungeun Kim; Jongbin Ryu (BMVC, 2024)

Style-KD: Class-imbalanced medical image classification via style knowledge distillation. - Inhyuk Park; Won Hwa Kim; Jongbin Ryu (Biomed. Signal Process. Control., 2024)

Fine-Grained Self-Supervised Learning with Jigsaw puzzles for medical image classification. - Wongi Park; Jongbin Ryu (Comput. Biol. Medicine, 2024)

Attentional decoder networks for chest X-ray image recognition on high-resolution features. - Hankyul Kang; Namkug Kim; Jongbin Ryu (Comput. Methods Programs Biomed., 2024)

Interactive Multi-Head Self-Attention with Linear Complexity. - Hankyul Kang; Ming-Hsuan Yang 001; Jongbin Ryu (CoRR, 2024)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 026; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (Medical Image Anal., 2024)

Spatial Bias for attention-free non-local neural networks. - Junhyung Go; Jongbin Ryu (Expert Syst. Appl., 2024)

Do Your Best and Get Enough Rest for Continual Learning. - Hankyul Kang; Gregor Seifer; Donghyun Lee; Jongbin Ryu (CVPR, 2025)

Channel Propagation Networks for Refreshable Vision Transformer. - Junhyeong Go; Jongbin Ryu (WACV, 2025)

Enriching Local Patterns with Multi-Token Attention for Broad-Sight Neural Networks. - Hankyul Kang; Jongbin Ryu (WACV, 2025)