Eunwoo Kim

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Autonomous Robot Navigation

Subspace Learning

Top Venues

Publications

Chanjong Park, Eunwoo Kim
Self-supervised learning with automatic data augmentation for enhancing representation. Pattern Recognit. Lett. 184 (2024)
Jiho Lee, Eunwoo Kim
Mitigating Search Interference With Task-Aware Nested Search. IEEE Trans. Image Process. 33 (2024)
Jiho Lee, Eunwoo Kim
Active Learning With Long-Range Observation. IEEE Signal Process. Lett. 31 (2024)
Eunwoo Kim, Un Yang, Cheol Lae Roh, Stefano Ermon
Unsupervised Anomaly Detection Using Diffusion Trend Analysis. CoRR (2024)
Heunseung Lim, Jungkyoo Shin, Hyoungki Choi, Dohoon Kim, Eunwoo Kim, Joonki Paik
Gravitated Latent Space Loss Generated by Metric Tensor for High-Dynamic Range Imaging. ICASSP (2024)
Sujin Choi, Hyundong Jin, Eunwoo Kim
Task-Aware Dynamic Model Optimization for Multi-Task Learning. IEEE Access 11 (2023)
Hyundong Jin, Gyeong-Hyeon Kim, Chanho Ahn, Eunwoo Kim
Growing a Brain with Sparsity-Inducing Generation for Continual Learning. ICCV (2023)
Soyeon Park, Jiho Lee, Eunwoo Kim
Resource-Efficient Multi-Task Deep Learning Using a Multi-Path Network. IEEE Access 10 (2022)
Changseong Kim, Eunwoo Kim
Multitask Learning with Heterogeneous Tasks. ICTC (2022)
Chanho Ahn, Eunwoo Kim, Songhwai Oh
Incremental Learning With Adaptive Model Search and a Nominal Loss Model. IEEE Access 10 (2022)
Wonhee Cho, Eunwoo Kim
Improving Augmentation Efficiency for Few-Shot Learning. IEEE Access 10 (2022)
Hyundong Jin, Eunwoo Kim
Helpful or Harmful: Inter-task Association in Continual Learning. ECCV (11) (2022)
Hyundong Jin, Kimin Yun, Eunwoo Kim
Gating Mechanism in Deep Neural Networks for Resource-Efficient Continual Learning. IEEE Access 10 (2022)
Yoonhee Kim, Eunwoo Kim
Clustering-Guided Incremental Learning of Tasks. ICOIN (2021)
Eunwoo Kim, Chanho Ahn, Songhwai Oh
Auto-VirtualNet: Cost-adaptive dynamic architecture search for multi-task learning. Neurocomputing 442 (2021)
Eunwoo Kim, Minsik Lee, Songhwai Oh
Nonconvex Sparse Representation With Slowly Vanishing Gradient Regularizers. IEEE Access 8 (2020)
Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. CVPR (2019)
Eunwoo Kim, Minsik Lee, Songhwai Oh
A Scalable Framework for Data-Driven Subspace Representation and Clustering. Pattern Recognit. Lett. 125 (2019)
Chanho Ahn, Eunwoo Kim, Songhwai Oh
Deep Elastic Networks With Model Selection for Multi-Task Learning. ICCV (2019)
Chanho Ahn, Eunwoo Kim, Songhwai Oh
Deep Elastic Networks with Model Selection for Multi-Task Learning. CoRR (2019)
Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. CoRR (2019)
Eunwoo Kim, Sungjoon Choi, Songhwai Oh
Structured Kernel Subspace Learning for Autonomous Robot Navigation. Sensors 18 (2) (2018)
Eunwoo Kim, Chanho Ahn, Songhwai Oh
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks. CVPR (2018)
Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh
Real-time nonparametric reactive navigation of mobile robots in dynamic environments. Robotics Auton. Syst. 91 (2017)
Eunwoo Kim, Chanho Ahn, Songhwai Oh
Learning Nested Sparse Structures in Deep Neural Networks. CoRR (2017)
Eunwoo Kim, Minsik Lee, Songhwai Oh
Robust Elastic-Net Subspace Representation. IEEE Trans. Image Process. 25 (9) (2016)
Eunwoo Kim, Minsik Lee, Songhwai Oh
Elastic-net regularization of singular values for robust subspace learning. CVPR (2015)
Eunwoo Kim, Sungjoon Choi, Songhwai Oh
Structured low-rank matrix approximation in Gaussian process regression for autonomous robot navigation. ICRA (2015)
Eunwoo Kim, Minsik Lee, Chong-Ho Choi, Nojun Kwak, Songhwai Oh
-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method. IEEE Trans. Neural Networks Learn. Syst. 26 (2) (2015)
Eunwoo Kim, Songhwai Oh
Robust orthogonal matrix factorization for efficient subspace learning. Neurocomputing 167 (2015)
Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh
Leveraged non-stationary Gaussian process regression for autonomous robot navigation. ICRA (2015)
Dongchan Kim, Yong Ju Jung, Yeji Han, Joonsung Choi, Eunwoo Kim, Bumseok Jeong, Yong Man Ro, HyunWook Park
fMRI analysis of excessive binocular disparity on the human brain. Int. J. Imaging Syst. Technol. 24 (1) (2014)
Eunwoo Kim, Sungjoon Choi, Songhwai Oh
A robust autoregressive gaussian process motion model using l1-norm based low-rank kernel matrix approximation. IROS (2014)
Sungjoon Choi, Eunwoo Kim, Songhwai Oh
Real-time navigation in crowded dynamic environments using Gaussian process motion control. ICRA (2014)
Sungjoon Choi, Eunwoo Kim, Songhwai Oh
Human behavior prediction for smart homes using deep learning. RO-MAN (2013)
Fayyaz Ahmad, Namgil Lee, Eunwoo Kim, Sung-Ho Kim, Hyun Wook Park
A shrinkage method for causal network detection of brain regions. Int. J. Imaging Syst. Technol. 23 (2) (2013)
Eunwoo Kim, Dae-Shik Kim, Fayyaz Ahmad, Hyun Wook Park
Pattern-Based Granger Causality Mapping in fMRI. Brain Connect. 3 (6) (2013)
Dongchan Kim, Yong Ju Jung, Eunwoo Kim, Yong Man Ro, HyunWook Park
Human brain response to visual fatigue caused by stereoscopic depth perception. DSP (2011)
Eunwoo Kim, Yeji Han, Hyun Wook Park
New fMRI analysis method for multiple stimuli using reference estimation. Int. J. Imaging Syst. Technol. 21 (4) (2011)