Human behavior prediction for smart homes using deep learning S Choi, E Kim, S Oh
RO-MAN 2013, 173, 2013
86 2013 NestedNet: Learning Nested Sparse Structures in Deep Neural Networks E Kim, C Ahn, S Oh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
71 2018 Elastic-net regularization of singular values for robust subspace learning E Kim, M Lee, S Oh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 915-923, 2015
55 2015 Deep Elastic Networks with Model Selection for Multi-Task Learning C Ahn, E Kim, S Oh
IEEE Conference on Computer Vision (ICCV), 2019
50 2019 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 (TNNLS) 26 (2 …, 2015
49 2015 Real-time navigation in crowded dynamic environments using Gaussian process motion control S Choi, E Kim, S Oh
IEEE International Conference on Robotics and Automation (ICRA), 3221-3226, 2014
45 2014 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
25 2017 Leveraged non-stationary Gaussian process regression for autonomous robot navigation S Choi, E Kim, K Lee, S Oh
IEEE International Conference on Robotics and Automation (ICRA), 473-478, 2015
13 2015 Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks E Kim, C Ahn, PHS Torr, S Oh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2710-2719, 2019
12 2019 Robust elastic-net subspace representation E Kim, M Lee, S Oh
IEEE Transactions on Image Processing (TIP) 25 (9), 4245-4259, 2016
11 2016 Helpful or Harmful: Inter-task Association in Continual Learning H Jin, E Kim
European Conference on Computer Vision (ECCV), 519-535, 2022
9 2022 Improving Augmentation Efficiency for Few-Shot Learning W Cho, E Kim
IEEE Access 10, 17697-17706, 2022
6 2022 Robust orthogonal matrix factorization for efficient subspace learning E Kim, S Oh
Neurocomputing 167, 218-229, 2015
6 2015 A robust autoregressive Gaussian process motion model using l 1-norm based low-rank kernel matrix approximation E Kim, S Choi, S Oh
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2014
6 2014 Stacked encoder–decoder transformer with boundary smoothing for action segmentation G Kim, E Kim
Electronics Letters 58 (25), 972-974, 2022
5 2022 Structured kernel subspace learning for autonomous robot navigation E Kim, S Choi, S Oh
Sensors 18 (2), 582, 2018
4 2018 Structured low-rank matrix approximation in Gaussian process regression for autonomous robot navigation E Kim, S Choi, S Oh
IEEE International Conference on Robotics and Automation (ICRA), 69-74, 2015
4 2015 Gating Mechanism in Deep Neural Networks for Resource-Efficient Continual Learning H Jin, K Yun, E Kim
IEEE Access 10, 18776-18786, 2022
2 2022 Auto-VirtualNet: Cost-adaptive dynamic architecture search for multi-task learning E Kim, C Ahn, S Oh
Neurocomputing 442, 116-124, 2021
2 2021 GhostNeXt: Rethinking Module Configurations for Efficient Model Design K Hong, G Kim, E Kim
Applied Sciences 13 (5), 3301, 2023
1 2023