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Eunwoo Kim
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2020 – today
- 2025
- [j21]Sejun Hong, Eunwoo Kim:
NeRF-DA: Neural Radiance Fields Deblurring With Active Learning. IEEE Signal Process. Lett. 32: 261-265 (2025) - 2024
- [j20]Chanjong Park, Eunwoo Kim:
Self-supervised learning with automatic data augmentation for enhancing representation. Pattern Recognit. Lett. 184: 133-139 (2024) - [j19]Jiho Lee, Eunwoo Kim:
Active Learning With Long-Range Observation. IEEE Signal Process. Lett. 31: 1990-1994 (2024) - [j18]Jiho Lee, Eunwoo Kim:
Mitigating Search Interference With Task-Aware Nested Search. IEEE Trans. Image Process. 33: 3102-3114 (2024) - [c16]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: 3300-3304 - [c15]Jungkyoo Shin, Jieun Han, SeungJun Kim, Yoonseon Oh, Eunwoo Kim:
Task Planning for Long-Horizon Cooking Tasks Based on Large Language Models. IROS 2024: 13613-13619 - [i4]Eunwoo Kim, Un Yang, Cheol Lae Roh, Stefano Ermon:
Unsupervised Anomaly Detection Using Diffusion Trend Analysis. CoRR abs/2407.09578 (2024) - 2023
- [j17]Sujin Choi, Hyundong Jin, Eunwoo Kim:
Task-Aware Dynamic Model Optimization for Multi-Task Learning. IEEE Access 11: 137709-137717 (2023) - [c14]Hyundong Jin, Gyeong-Hyeon Kim, Chanho Ahn, Eunwoo Kim:
Growing a Brain with Sparsity-Inducing Generation for Continual Learning. ICCV 2023: 18915-18924 - 2022
- [j16]Chanho Ahn, Eunwoo Kim, Songhwai Oh:
Incremental Learning With Adaptive Model Search and a Nominal Loss Model. IEEE Access 10: 16052-16062 (2022) - [j15]Wonhee Cho, Eunwoo Kim:
Improving Augmentation Efficiency for Few-Shot Learning. IEEE Access 10: 17697-17706 (2022) - [j14]Hyundong Jin, Kimin Yun, Eunwoo Kim:
Gating Mechanism in Deep Neural Networks for Resource-Efficient Continual Learning. IEEE Access 10: 18776-18786 (2022) - [j13]Soyeon Park, Jiho Lee, Eunwoo Kim:
Resource-Efficient Multi-Task Deep Learning Using a Multi-Path Network. IEEE Access 10: 32889-32899 (2022) - [c13]Hyundong Jin, Eunwoo Kim:
Helpful or Harmful: Inter-task Association in Continual Learning. ECCV (11) 2022: 519-535 - [c12]Changseong Kim, Eunwoo Kim:
Multitask Learning with Heterogeneous Tasks. ICTC 2022: 1024-1026 - 2021
- [j12]Eunwoo Kim, Chanho Ahn, Songhwai Oh:
Auto-VirtualNet: Cost-adaptive dynamic architecture search for multi-task learning. Neurocomputing 442: 116-124 (2021) - [c11]Yoonhee Kim, Eunwoo Kim:
Clustering-Guided Incremental Learning of Tasks. ICOIN 2021: 417-421 - 2020
- [j11]Eunwoo Kim, Minsik Lee, Songhwai Oh:
Nonconvex Sparse Representation With Slowly Vanishing Gradient Regularizers. IEEE Access 8: 132489-132501 (2020)
2010 – 2019
- 2019
- [j10]Eunwoo Kim, Minsik Lee, Songhwai Oh:
A Scalable Framework for Data-Driven Subspace Representation and Clustering. Pattern Recognit. Lett. 125: 742-749 (2019) - [c10]Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh:
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. CVPR 2019: 2710-2719 - [c9]Chanho Ahn, Eunwoo Kim, Songhwai Oh:
Deep Elastic Networks With Model Selection for Multi-Task Learning. ICCV 2019: 6528-6537 - [i3]Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh:
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. CoRR abs/1904.04562 (2019) - [i2]Chanho Ahn, Eunwoo Kim, Songhwai Oh:
Deep Elastic Networks with Model Selection for Multi-Task Learning. CoRR abs/1909.04860 (2019) - 2018
- [j9]Eunwoo Kim, Sungjoon Choi, Songhwai Oh:
Structured Kernel Subspace Learning for Autonomous Robot Navigation. Sensors 18(2): 582 (2018) - [c8]Eunwoo Kim, Chanho Ahn, Songhwai Oh:
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks. CVPR 2018: 8669-8678 - 2017
- [j8]Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh:
Real-time nonparametric reactive navigation of mobile robots in dynamic environments. Robotics Auton. Syst. 91: 11-24 (2017) - [i1]Eunwoo Kim, Chanho Ahn, Songhwai Oh:
Learning Nested Sparse Structures in Deep Neural Networks. CoRR abs/1712.03781 (2017) - 2016
- [j7]Eunwoo Kim, Minsik Lee, Songhwai Oh:
Robust Elastic-Net Subspace Representation. IEEE Trans. Image Process. 25(9): 4245-4259 (2016) - 2015
- [j6]Eunwoo Kim, Songhwai Oh:
Robust orthogonal matrix factorization for efficient subspace learning. Neurocomputing 167: 218-229 (2015) - [j5]Eunwoo Kim, Minsik Lee, Chong-Ho Choi, Nojun Kwak, Songhwai Oh:
Efficient l1-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method. IEEE Trans. Neural Networks Learn. Syst. 26(2): 237-251 (2015) - [c7]Eunwoo Kim, Minsik Lee, Songhwai Oh:
Elastic-net regularization of singular values for robust subspace learning. CVPR 2015: 915-923 - [c6]Eunwoo Kim, Sungjoon Choi, Songhwai Oh:
Structured low-rank matrix approximation in Gaussian process regression for autonomous robot navigation. ICRA 2015: 69-74 - [c5]Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh:
Leveraged non-stationary Gaussian process regression for autonomous robot navigation. ICRA 2015: 473-478 - 2014
- [j4]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): 94-102 (2014) - [c4]Sungjoon Choi, Eunwoo Kim, Songhwai Oh:
Real-time navigation in crowded dynamic environments using Gaussian process motion control. ICRA 2014: 3221-3226 - [c3]Eunwoo Kim, Sungjoon Choi, Songhwai Oh:
A robust autoregressive gaussian process motion model using l1-norm based low-rank kernel matrix approximation. IROS 2014: 4396-4401 - 2013
- [j3]Eunwoo Kim, Dae-Shik Kim, Fayyaz Ahmad, Hyun Wook Park:
Pattern-Based Granger Causality Mapping in fMRI. Brain Connect. 3(6): 569-577 (2013) - [j2]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): 140-146 (2013) - [c2]Sungjoon Choi, Eunwoo Kim, Songhwai Oh:
Human behavior prediction for smart homes using deep learning. RO-MAN 2013: 173-179 - 2011
- [j1]Eunwoo Kim, Yeji Han, Hyun Wook Park:
New fMRI analysis method for multiple stimuli using reference estimation. Int. J. Imaging Syst. Technol. 21(4): 315-322 (2011) - [c1]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: 1-5
Coauthor Index
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last updated on 2025-01-08 20:33 CET by the dblp team
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