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 | 107 | 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 |
Spatio-temporal representation of an electoencephalogram for emotion recognition using a three-dimensional convolutional neural network J Cho, H Hwang Sensors 20 (12), 3491, 2020 | 56 | 2020 |
Consensus of non-rigid reconstructions M Lee, J Cho, S Oh Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 45 | 2016 |
Privacy-aware communication for smartphones using vibration I Hwang, J Cho, S Oh 2012 IEEE International Conference on Embedded and Real-Time Computing …, 2012 | 41 | 2012 |
Vibration-based surface recognition for smartphones J Cho, I Hwang, S Oh 2012 IEEE International Conference on Embedded and Real-Time Computing …, 2012 | 29 | 2012 |
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, 226-246, 2016 | 26 | 2016 |
Selective generation of Gabor features for fast face recognition on mobile devices J Oh, SI Choi, C Kim, J Cho, CH Choi Pattern Recognition Letters 34 (13), 1540-1547, 2013 | 24 | 2013 |
Robust human pose estimation for rotation via self-supervised learning K Yun, J Park, J Cho IEEE Access 8, 32502-32517, 2020 | 20 | 2020 |
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 | 16 | 2019 |
VibeComm: Radio-Free Wireless Communication for Smart Devices Using Vibration I Hwang, J Cho, S Oh Sensors 14 (11), 21151-21173, 2014 | 12 | 2014 |
Body-part-aware and multitask-aware single-image-based action recognition B Bhandari, G Lee, J Cho Applied Sciences 10 (4), 1531, 2020 | 11 | 2020 |
EM-GPA: Generalized Procrustes analysis with hidden variables for 3D shape modeling J Cho, M Lee, CH Choi, S Oh Computer Vision and Image Understanding 117 (11), 1549-1559, 2013 | 8 | 2013 |
Single image 3D human pose estimation using a procrustean normal distribution mixture model and model transformation J Cho, M Lee, S Oh Computer Vision and Image Understanding 155, 150-161, 2017 | 7 | 2017 |
VibePhone: efficient surface recognition for smartphones using vibration J Cho, I Hwang, S Oh Pattern Analysis and Applications 19, 251-265, 2016 | 7 | 2016 |
The dataset and baseline models to detect human postural states robustly against irregular postures K Bae, K Yun, J Cho, Y Bae 2021 17th IEEE International Conference on Advanced Video and Signal Based …, 2021 | 5 | 2021 |
Reconstruct as far as you can: Consensus of non-rigid reconstruction from feasible regions G Cha, M Lee, J Cho, S Oh IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (2), 623-637, 2019 | 5 | 2019 |
Deep pose consensus networks G Cha, M Lee, J Cho, S Oh Computer Vision and Image Understanding 182, 64-70, 2019 | 5 | 2019 |
Stdp-net: Improved pedestrian attribute recognition using swin transformer and semantic self-attention G Lee, J Cho IEEE Access 10, 82656-82667, 2022 | 4 | 2022 |
Non-rigid surface recovery with a robust local-rigidity prior G Cha, M Lee, J Cho, S Oh Pattern Recognition Letters 110, 51-57, 2018 | 4 | 2018 |