Eunwoo Kim
Title
Cited by
Cited by
Year
Human behavior prediction for smart homes using deep learning
S Choi, E Kim, S Oh
RO-MAN 2013, 173, 2013
692013
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
432015
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
402015
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
382014
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
35*2018
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
132017
Robust elastic-net subspace representation
E Kim, M Lee, S Oh
IEEE Transactions on Image Processing 25 (9), 4245-4259, 2016
112016
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
112015
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
92019
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
72019
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
42014
Structured kernel subspace learning for autonomous robot navigation
E Kim, S Choi, S Oh
Sensors 18 (2), 582, 2018
32018
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
32015
Auto-VirtualNet: Cost-adaptive dynamic architecture search for multi-task learning
E Kim, C Ahn, S Oh
Neurocomputing 442, 116-124, 2021
2021
Clustering-Guided Incremental Learning of Tasks
Y Kim, E Kim
2021 International Conference on Information Networking (ICOIN), 417-421, 2021
2021
Nonconvex Sparse Representation With Slowly Vanishing Gradient Regularizers
E Kim, M Lee, S Oh
IEEE Access 8, 132489-132501, 2020
2020
A Scalable Framework for Data-Driven Subspace Representation and Clustering
E Kim, M Lee, S Oh
Pattern Recognition Letters 125, 742-749, 2019
2019
Journal publications
E Kim, YJ Ren, H Lee, A Rida, S Nikolaou, MM Tentzeris, AM Rida, ...
Journal of Computational Geometry 7 (1), 221-236, 2016
2016
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Articles 1–19