Knowledge transfer via distillation of activation boundaries formed by hidden neurons B Heo, M Lee, S Yun, JY Choi
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3779-3787, 2019
616 2019 Symmetric graph convolutional autoencoder for unsupervised graph representation learning J Park, M Lee, HJ Chang, K Lee, JY Choi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
304 2019 Knowledge distillation with adversarial samples supporting decision boundary B Heo, M Lee, S Yun, JY Choi
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3771-3778, 2019
164 2019 Procrustean Normal Distribution for Non-Rigid Structure from Motion M Lee, J Cho, S Oh
IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (7), 1388-1400, 2017
109 * 2017 Procrustean normal distribution for non-rigid structure from motion M Lee, J Cho, CH Choi, S Oh
Proceedings of the IEEE Conference on computer vision and pattern …, 2013
109 2013 Robust action recognition using local motion and group sparsity J Cho, M Lee, HJ Chang, S Oh
Pattern Recognition 47 (5), 1813-1825, 2014
77 2014 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
57 2015 Efficient E Kim, M Lee, CH Choi, N Kwak, S Oh
IEEE transactions on neural networks and learning systems 26 (2), 237-251, 2015
50 2015 Consensus of non-rigid reconstructions M Lee, J Cho, S Oh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
47 2016 A Procrustean Markov process for non-rigid structure recovery M Lee, CH Choi, S Oh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
41 2014 Membership representation for detecting block-diagonal structure in low-rank or sparse subspace clustering M Lee, J Lee, H Lee, N Kwak
Proceedings of the IEEE conference on computer vision and pattern …, 2015
32 2015 Complex non-rigid 3d shape recovery using a procrustean normal distribution mixture model J Cho, M Lee, S Oh
International Journal of Computer Vision 117 (3), 226-246, 2016
26 2016 Graph-matching-based correspondence search for nonrigid point cloud registration S Chang, C Ahn, M Lee, S Oh
Computer Vision and Image Understanding 192, 102899, 2020
24 2020 Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations S Park, M Lee, N Kwak
European Conference on Computer Vision, 1-18, 2020
22 2020 Real-time facial shape recovery from a single image under general, unknown lighting by rank relaxation M Lee, CH Choi
Computer Vision and Image Understanding 120, 59-69, 2014
19 2014 Building a Compact Convolutional Neural Network for Embedded Intelligent Sensor Systems Using Group Sparsity and Knowledge Distillation J Cho, M Lee
Sensors 19 (19), 4307, 2019
17 2019 Differentiable Forward and Backward Fixed-Point Iteration Layers Y Jeon, M Lee, JY Choi
IEEE Access 9, 18383-18392, 2021
16 2021 Incremental M Lee, CH Choi
IEEE Transactions on Image Processing 23 (10), 4255-4269, 2014
16 2014 Variational inference for 3-D localization and tracking of multiple targets using multiple cameras M Byeon, M Lee, K Kim, JY Choi
IEEE Transactions on Neural Networks and Learning Systems 30 (11), 3260-3274, 2019
15 2019 Unsupervised 3d reconstruction networks G Cha, M Lee, S Oh
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
15 2019 
Songhwai OhDepartment of Electrical and Computer Engineering, Seoul National University, KoreaEmail verificata su snu.ac.kr