Yumin Suh
Yumin Suh
NEC Labs America
Email confirmado em snu.ac.kr - Página inicial
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Part-aligned bilinear representations for person re-identification
Y Suh, J Wang, S Tang, T Mei, KM Lee
Proceedings of the European Conference on Computer Vision (ECCV), 402-419, 2018
3132018
Stochastic class-based hard example mining for deep metric learning
Y Suh, B Han, W Kim, KM Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
482019
Discrete tabu search for graph matching
K Adamczewski, Y Suh, K Mu Lee
Proceedings of the IEEE international conference on computer vision, 109-117, 2015
482015
Graph matching via sequential monte carlo
Y Suh, M Cho, KM Lee
European Conference on Computer Vision, 624-637, 2012
482012
Learning to optimize domain specific normalization for domain generalization
S Seo, Y Suh, D Kim, G Kim, J Han, B Han
Proceedings of the European Conference on Computer Vision (ECCV), 2020
432020
Subgraph matching using compactness prior for robust feature correspondence
Y Suh, K Adamczewski, K Mu Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
252015
A sequential approach to 3d human pose estimation: Separation of localization and identification of body joints
HY Jung, Y Suh, G Moon, KM Lee
European Conference on Computer Vision, 747-761, 2016
142016
Holistic planimetric prediction to local volumetric prediction for 3d human pose estimation
G Moon, JY Chang, Y Suh, KM Lee
arXiv preprint arXiv:1706.04758, 2017
92017
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains
M Faraki, X Yu, YH Tsai, Y Suh, M Chandraker
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
12021
Appearance dependent inter-part relationship for human pose estimation
Y Suh, KM Lee
2016 Asia-Pacific Signal and Information Processing Association Annual …, 2016
2016
Roles of time hazard in perceptual decision making under high time pressure
M Kim, Y Suh, D Lim, I Rhim, KW Choi, SH Lee
i-Perception 2 (4), 260-260, 2011
2011
Cross-Modal Prediction Consistency based Self-Training for Unsupervised Domain Adaptation
D Kim, G Kim, S Seo, Y Suh, B Han, T Lee, J Han, H Jeon
VisDA 2019 Challenge, 0
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