| 2026 | WACV | Moir Zero: An Efficient and High-Performance Neural Architecture for Moir Removal. | Seungryong Lee, Woojeong Baek, Younghyun Kim, Eunwoo Kim, Haru Moon, Donggon Yoo, Eunbyung Park |
| 2025 | CVPR | Generative Modeling of Class Probability for Multi-Modal Representation Learning. | Jungkyoo Shin, Bumsoo Kim, Eunwoo Kim |
| 2025 | ICCV | RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning. | Kiseong Hong, Gyeong-Hyeon Kim, Eunwoo Kim |
| 2025 | ICCV | Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models. | Hyundong Jin, Hyung Jin Chang, Eunwoo Kim |
| 2025 | ICRA | Self-Corrective Task Planning by Inverse Prompting with Large Language Models. | Jiho Lee, Hayun Lee, Jonghyeon Kim, Kyungjae Lee, Eunwoo Kim |
| 2024 | ICASSP | Gravitated Latent Space Loss Generated by Metric Tensor for High-Dynamic Range Imaging. | Heunseung Lim, Jungkyoo Shin, Hyoungki Choi, Dohoon Kim, Eunwoo Kim, Joonki Paik |
| 2024 | IROS | Task Planning for Long-Horizon Cooking Tasks Based on Large Language Models. | Jungkyoo Shin, Jieun Han, SeungJun Kim, Yoonseon Oh, Eunwoo Kim |
| 2023 | ICCV | Growing a Brain with Sparsity-Inducing Generation for Continual Learning. | Hyundong Jin, Gyeong-Hyeon Kim, Chanho Ahn, Eunwoo Kim |
| 2022 | ECCV | Helpful or Harmful: Inter-task Association in Continual Learning. | Hyundong Jin, Eunwoo Kim |
| 2019 | CVPR | Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. | Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh |
| 2019 | ICCV | Deep Elastic Networks With Model Selection for Multi-Task Learning. | Chanho Ahn, Eunwoo Kim, Songhwai Oh |
| 2018 | CVPR | NestedNet: Learning Nested Sparse Structures in Deep Neural Networks. | Eunwoo Kim, Chanho Ahn, Songhwai Oh |
| 2015 | CVPR | Elastic-net regularization of singular values for robust subspace learning. | Eunwoo Kim, Minsik Lee, Songhwai Oh |
| 2015 | ICRA | Leveraged non-stationary Gaussian process regression for autonomous robot navigation. | Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh |
| 2015 | ICRA | Structured low-rank matrix approximation in Gaussian process regression for autonomous robot navigation. | Eunwoo Kim, Sungjoon Choi, Songhwai Oh |
| 2014 | ICRA | Real-time navigation in crowded dynamic environments using Gaussian process motion control. | Sungjoon Choi, Eunwoo Kim, Songhwai Oh |
| 2014 | IROS | A robust autoregressive gaussian process motion model using l1-norm based low-rank kernel matrix approximation. | Eunwoo Kim, Sungjoon Choi, Songhwai Oh |
| 2013 | RO-MAN | Human behavior prediction for smart homes using deep learning. | Sungjoon Choi, Eunwoo Kim, Songhwai Oh |