| 2025 | CVPR | Do Your Best and Get Enough Rest for Continual Learning. | Hankyul Kang, Gregor Seifer, Donghyun Lee, Jongbin Ryu |
| 2025 | WACV | Channel Propagation Networks for Refreshable Vision Transformer. | Junhyeong Go, Jongbin Ryu |
| 2025 | WACV | Enriching Local Patterns with Multi-Token Attention for Broad-Sight Neural Networks. | Hankyul Kang, Jongbin Ryu |
| 2024 | ACCV | Neural Substitution for Branch-Level Network Re-parameterization. | Seungmin Oh, Jongbin Ryu |
| 2024 | ACCV | Generative Self-supervised Learning for Medical Image Classification. | Inhyuk Park, Sungeun Kim, Jongbin Ryu |
| 2024 | BMVC | Unsupervised Hashing Network with Hyper Quantization Tree. | Sungeun Kim, Jongbin Ryu |
| 2023 | ICCV | Gramian Attention Heads are Strong yet Efficient Vision Learners. | Jongbin Ryu, Dongyoon Han, Jongwoo Lim |
| 2020 | ICLR | Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition. | Jongbin Ryu, Gitaek Kwon, Ming-Hsuan Yang, Jongwoo Lim |
| 2019 | ICCV | OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching. | Changhee Won, Jongbin Ryu, Jongwoo Lim |
| 2019 | ICRA | SweepNet: Wide-baseline Omnidirectional Depth Estimation. | Changhee Won, Jongbin Ryu, Jongwoo Lim |
| 2018 | ECCV | DFT-based Transformation Invariant Pooling Layer for Visual Classification. | Jongbin Ryu, Ming-Hsuan Yang, Jongwoo Lim |
| 2017 | ICIP | SSPP-DAN: Deep domain adaptation network for face recognition with single sample per person. | Sungeun Hong, Woobin Im, Jongbin Ryu, Hyun Seung Yang |