Human brain response to visual fatigue caused by stereoscopic depth perception. - Dongchan Kim; Yong Ju Jung; Eunwoo Kim; Yong Man Ro; HyunWook Park (DSP, 2011)

New fMRI analysis method for multiple stimuli using reference estimation. - Eunwoo Kim; Yeji Han; Hyun Wook Park (Int. J. Imaging Syst. Technol., 2011)

Human behavior prediction for smart homes using deep learning. - Sungjoon Choi; Eunwoo Kim; Songhwai Oh (RO-MAN, 2013)

Pattern-Based Granger Causality Mapping in fMRI. - Eunwoo Kim; Dae-Shik Kim; Fayyaz Ahmad; Hyun Wook Park (Brain Connect., 2013)

A shrinkage method for causal network detection of brain regions. - Fayyaz Ahmad; Namgil Lee; Eunwoo Kim; Sung-Ho Kim; Hyun Wook Park (Int. J. Imaging Syst. Technol., 2013)

Real-time navigation in crowded dynamic environments using Gaussian process motion control. - Sungjoon Choi; Eunwoo Kim; Songhwai Oh (ICRA, 2014)

A robust autoregressive gaussian process motion model using l1-norm based low-rank kernel matrix approximation. - Eunwoo Kim; Sungjoon Choi; Songhwai Oh (IROS, 2014)

fMRI analysis of excessive binocular disparity on the human brain. - Dongchan Kim; Yong Ju Jung; Yeji Han; Joonsung Choi; Eunwoo Kim; Bumseok Jeong; Yong Man Ro; HyunWook Park (Int. J. Imaging Syst. Technol., 2014)

Elastic-net regularization of singular values for robust subspace learning. - Eunwoo Kim; Minsik Lee 001; Songhwai Oh (CVPR, 2015)

Leveraged non-stationary Gaussian process regression for autonomous robot navigation. - Sungjoon Choi; Eunwoo Kim; Kyungjae Lee 001; Songhwai Oh (ICRA, 2015)

Structured low-rank matrix approximation in Gaussian process regression for autonomous robot navigation. - Eunwoo Kim; Sungjoon Choi; Songhwai Oh (ICRA, 2015)

Robust orthogonal matrix factorization for efficient subspace learning. - Eunwoo Kim; Songhwai Oh (Neurocomputing, 2015)

Efficient l1-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method. - Eunwoo Kim; Minsik Lee 001; Chong-Ho Choi; Nojun Kwak; Songhwai Oh (IEEE Trans. Neural Networks Learn. Syst., 2015)

Robust Elastic-Net Subspace Representation. - Eunwoo Kim; Minsik Lee 001; Songhwai Oh (IEEE Trans. Image Process., 2016)

Learning Nested Sparse Structures in Deep Neural Networks. - Eunwoo Kim; Chanho Ahn; Songhwai Oh (CoRR, 2017)

Real-time nonparametric reactive navigation of mobile robots in dynamic environments. - Sungjoon Choi; Eunwoo Kim; Kyungjae Lee 001; Songhwai Oh (Robotics Auton. Syst., 2017)

NestedNet: Learning Nested Sparse Structures in Deep Neural Networks. - Eunwoo Kim; Chanho Ahn; Songhwai Oh (CVPR, 2018)

Structured Kernel Subspace Learning for Autonomous Robot Navigation. - Eunwoo Kim; Sungjoon Choi; Songhwai Oh (Sensors, 2018)

Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. - Eunwoo Kim; Chanho Ahn; Philip H. S. Torr; Songhwai Oh (CVPR, 2019)

Deep Elastic Networks With Model Selection for Multi-Task Learning. - Chanho Ahn; Eunwoo Kim; Songhwai Oh (ICCV, 2019)

A Scalable Framework for Data-Driven Subspace Representation and Clustering. - Eunwoo Kim; Minsik Lee 001; Songhwai Oh (Pattern Recognit. Lett., 2019)

Nonconvex Sparse Representation With Slowly Vanishing Gradient Regularizers. - Eunwoo Kim; Minsik Lee 001; Songhwai Oh (IEEE Access, 2020)

Clustering-Guided Incremental Learning of Tasks. - Yoonhee Kim; Eunwoo Kim (ICOIN, 2021)

Auto-VirtualNet: Cost-adaptive dynamic architecture search for multi-task learning. - Eunwoo Kim; Chanho Ahn; Songhwai Oh (Neurocomputing, 2021)

Helpful or Harmful: Inter-task Association in Continual Learning. - Hyundong Jin; Eunwoo Kim (ECCV (11), 2022)

Multitask Learning with Heterogeneous Tasks. - Changseong Kim; Eunwoo Kim (ICTC, 2022)

Incremental Learning With Adaptive Model Search and a Nominal Loss Model. - Chanho Ahn; Eunwoo Kim; Songhwai Oh (IEEE Access, 2022)

Improving Augmentation Efficiency for Few-Shot Learning. - Wonhee Cho 002; Eunwoo Kim (IEEE Access, 2022)

Gating Mechanism in Deep Neural Networks for Resource-Efficient Continual Learning. - Hyundong Jin; Kimin Yun; Eunwoo Kim (IEEE Access, 2022)

Resource-Efficient Multi-Task Deep Learning Using a Multi-Path Network. - Soyeon Park; Jiho Lee; Eunwoo Kim (IEEE Access, 2022)

Growing a Brain with Sparsity-Inducing Generation for Continual Learning. - Hyundong Jin; Gyeong-Hyeon Kim; Chanho Ahn; Eunwoo Kim (ICCV, 2023)

Task-Aware Dynamic Model Optimization for Multi-Task Learning. - Sujin Choi; Hyundong Jin; Eunwoo Kim (IEEE Access, 2023)

Gravitated Latent Space Loss Generated by Metric Tensor for High-Dynamic Range Imaging. - Heunseung Lim; Jungkyoo Shin; Hyoungki Choi; Dohoon Kim 005; Eunwoo Kim; Joonki Paik (ICASSP, 2024)

Continual Learning for Multiple Task Complexities. - Hyundong Jin; Eunwoo Kim (ICTC, 2024)

Similarity-Aware Class Discrimination in Class-Incremental Semantic Segmentation. - Gyeong-Hyeon Kim; Nayoung Ko; Eunwoo Kim (ICTC, 2024)

Active Learning with Selective Removing. - Jiho Lee; Eunwoo Kim (ICTC, 2024)

Task Planning for Long-Horizon Cooking Tasks Based on Large Language Models. - Jungkyoo Shin; Jieun Han; SeungJun Kim; Yoonseon Oh; Eunwoo Kim (IROS, 2024)

Unsupervised Anomaly Detection Using Diffusion Trend Analysis. - Eunwoo Kim; Un Yang; Cheol Lae Roh; Stefano Ermon (CoRR, 2024)

Self-supervised learning with automatic data augmentation for enhancing representation. - Chanjong Park; Eunwoo Kim (Pattern Recognit. Lett., 2024)

Active Learning With Long-Range Observation. - Jiho Lee; Eunwoo Kim (IEEE Signal Process. Lett., 2024)

Mitigating Search Interference With Task-Aware Nested Search. - Jiho Lee; Eunwoo Kim (IEEE Trans. Image Process., 2024)

Generative Modeling of Class Probability for Multi-Modal Representation Learning. - Jungkyoo Shin; Bumsoo Kim; Eunwoo Kim (CVPR, 2025)

GODiff: Region-Specific Semantic Editing With CLIP-Guided Diffusion Models. - Junho Kim; Eunwoo Kim; Kyungjae Lee 001 (IEEE Access, 2025)

Mitigating Class Confusion in Class-Incremental Semantic Segmentation. - Nayoung Ko; Gyeong-Hyeon Kim; Eunwoo Kim (IEEE Access, 2025)

STELA: Spatial-temporal enhanced learning with an anatomical graph transformer for 3D human pose estimation. - Jian Son; Jiho Lee; Eunwoo Kim (Comput. Vis. Image Underst., 2025)

Exploration and exploitation in continual learning. - Kiseong Hong; Hyundong Jin; Sungho Suh; Eunwoo Kim (Neural Networks, 2025)

Dataset condensation with coarse-to-fine regularization. - Hyundong Jin; Eunwoo Kim (Pattern Recognit. Lett., 2025)

Dual-branch scale disentanglement for text-video retrieval. - Hyunjoon Koo; Jungkyoo Shin; Eunwoo Kim (Pattern Recognit. Lett., 2025)

NeRF-DA: Neural Radiance Fields Deblurring With Active Learning. - Sejun Hong; Eunwoo Kim (IEEE Signal Process. Lett., 2025)

Self-Corrective Task Planning by Inverse Prompting with Large Language Models. - Jiho Lee; Hayun Lee; Jonghyeon Kim; Kyungjae Lee; Eunwoo Kim (CoRR, 2025)

Continual Learning for Multiple Modalities. - Hyundong Jin; Eunwoo Kim (CoRR, 2025)

Moiré Zero: An Efficient and High-Performance Neural Architecture for Moiré Removal. - Seungryong Lee; Woojeong Baek; Younghyun Kim; Eunwoo Kim; Haru Moon; Donggon Yoo; Eunbyung Park (CoRR, 2025)

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning. - Kiseong Hong; Gyeong-Hyeon Kim; Eunwoo Kim (CoRR, 2025)

Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models. - Hyundong Jin; Hyung Jin Chang; Eunwoo Kim (CoRR, 2025)