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Yumin Suh
Yumin Suh
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Zitiert von
Jahr
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
6052018
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
2582020
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
1492019
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
552015
Graph matching via sequential monte carlo
Y Suh, M Cho, KM Lee
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
512012
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
292015
On generalizing beyond domains in cross-domain continual learning
C Simon, M Faraki, YH Tsai, X Yu, S Schulter, Y Suh, M Harandi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
282022
Controllable dynamic multi-task architectures
DS Raychaudhuri, Y Suh, S Schulter, X Yu, M Faraki, AK Roy-Chowdhury, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
262022
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
242021
A sequential approach to 3d human pose estimation: Separation of localization and identification of body joints
HY Jung, Y Suh, G Moon, KM Lee
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
162016
Learning semantic segmentation from multiple datasets with label shifts
D Kim, YH Tsai, Y Suh, M Faraki, S Garg, M Chandraker, B Han
European Conference on Computer Vision, 20-36, 2022
152022
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
142017
Confidence and dispersity speak: Characterizing prediction matrix for unsupervised accuracy estimation
W Deng, Y Suh, S Gould, L Zheng
International Conference on Machine Learning, 7658-7674, 2023
82023
Omnilabel: A challenging benchmark for language-based object detection
S Schulter, Y Suh, KM Dafnis, Z Zhang, S Zhao, D Metaxas
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
62023
Face-aware person re-identification system
Y Suh, X Yu, YH Tsai, M Faraki, M Chandraker
US Patent App. 17/519,986, 2022
42022
Improving Pseudo Labels for Open-Vocabulary Object Detection
S Zhao, S Schulter, L Zhao, Z Zhang, Y Suh, M Chandraker, DN Metaxas
arXiv preprint arXiv:2308.06412, 2023
22023
Efficient controllable multi-task architectures
A Aich, S Schulter, AK Roy-Chowdhury, M Chandraker, Y Suh
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
22023
Split to Learn: Gradient Split for Multi-Task Human Image Analysis
W Deng, Y Suh, X Yu, M Faraki, L Zheng, M Chandraker
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
22023
Multi-task learning via gradient split for rich human analysis
Y Suh, X Yu, M Faraki, M Chandraker, W Deng
US Patent App. 17/496,214, 2022
12022
Single training sequence for neural network useable for multi-task scenarios
Y Suh, S Schulter, X Yu, A Aich
US Patent App. 18/503,313, 2024
2024
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