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Eunwoo Kim
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Year
Human behavior prediction for smart homes using deep learning
S Choi, E Kim, S Oh
RO-MAN 2013, 173, 2013
792013
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks
E Kim, C Ahn, S Oh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
582018
Elastic-net regularization of singular values for robust subspace learning
E Kim, M Lee, S Oh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
492015
Efficient -norm-based low-rank matrix approximations for large-scale problems using alternating rectified gradient method
E Kim, M Lee, CH Choi, N Kwak, S Oh
IEEE Transactions on Neural Networks and Learning Systems 26 (2), 237-251, 2015
452015
Real-time navigation in crowded dynamic environments using Gaussian process motion control
S Choi, E Kim, S Oh
2014 IEEE International Conference on Robotics and Automation (ICRA), 3221-3226, 2014
422014
Deep Elastic Networks with Model Selection for Multi-Task Learning
C Ahn, E Kim, S Oh
Proceedings of the IEEE Conference on Computer Vision (ICCV), 2019
322019
Real-time nonparametric reactive navigation of mobile robots in dynamic environments
S Choi, E Kim, K Lee, S Oh
Robotics and Autonomous Systems 91, 11-24, 2017
212017
Leveraged non-stationary Gaussian process regression for autonomous robot navigation
S Choi, E Kim, K Lee, S Oh
2015 IEEE International Conference on Robotics and Automation (ICRA), 473-478, 2015
132015
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
E Kim, C Ahn, PHS Torr, S Oh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
112019
Robust elastic-net subspace representation
E Kim, M Lee, S Oh
IEEE Transactions on Image Processing 25 (9), 4245-4259, 2016
112016
Robust orthogonal matrix factorization for efficient subspace learning
E Kim, S Oh
Neurocomputing 167, 218-229, 2015
62015
A robust autoregressive gaussian process motion model using l1-norm based low-rank kernel matrix approximation
E Kim, S Choi, S Oh
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
62014
Structured low-rank matrix approximation in Gaussian process regression for autonomous robot navigation
E Kim, S Choi, S Oh
2015 IEEE International Conference on Robotics and Automation (ICRA), 69-74, 2015
42015
Structured kernel subspace learning for autonomous robot navigation
E Kim, S Choi, S Oh
Sensors 18 (2), 582, 2018
32018
Auto-VirtualNet: Cost-adaptive dynamic architecture search for multi-task learning
E Kim, C Ahn, S Oh
Neurocomputing 442, 116-124, 2021
12021
A scalable framework for data-driven subspace representation and clustering
E Kim, M Lee, S Oh
Pattern Recognition Letters 125, 742-749, 2019
12019
Adaptive Dynamic Search for Multi-Task Learning
E Kim
Applied Sciences 12 (22), 11836, 2022
2022
Multitask Learning with Heterogeneous Tasks
C Kim, E Kim
2022 13th International Conference on Information and Communication …, 2022
2022
Resource-Efficient Multi-Task Deep Learning Using a Multi-Path Network
S Park, J Lee, E Kim
IEEE Access 10, 32889-32899, 2022
2022
Improving Augmentation Efficiency for Few-Shot Learning
W Cho, E Kim
IEEE Access 10, 17697-17706, 2022
2022
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