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Yumin Suh
Yumin Suh
Atmanity
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Title
Cited by
Cited by
Year
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
6912018
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
3472020
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
1832019
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
632015
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
532022
Graph matching via sequential monte carlo
Y Suh, M Cho, KM Lee
European Conference on Computer Vision, 624-637, 2012
532012
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
462022
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
342021
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
302023
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
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
282022
Taming self-training for open-vocabulary object detection
S Zhao, S Schulter, L Zhao, Z Zhang, Y Suh, M Chandraker, DN Metaxas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
222024
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
212023
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
182016
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
172017
Generating enhanced negatives for training language-based object detectors
S Zhao, L Zhao, Y Suh, DN Metaxas, M Chandraker, S Schulter
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
142024
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
102023
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
92023
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 5, 2023
82023
ST-VLM: Kinematic Instruction Tuning for Spatio-Temporal Reasoning in Vision-Language Models
D Ko, S Kim, Y Suh, M Yoon, M Chandraker, HJ Kim
arXiv preprint arXiv:2503.19355, 2025
72025
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Articles 1–20