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ORCIDYumin Suh
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2020 – today
- 2024
[c20]Yumin Suh, Dongwan Kim, Abhishek Aich, Samuel Schulter, Jong-Chyi Su, Bohyung Han, Manmohan Chandraker:
Improving the Efficiency-Accuracy Trade-off of DETR-Style Models in Practice. CVPR Workshops 2024: 8027-8031- [c19]Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. CVPR 2024: 13592-13602 - [c18]Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, B. G. Vijay Kumar, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas:
Taming Self-Training for Open-Vocabulary Object Detection. CVPR 2024: 13938-13947 - [i15]Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. CoRR abs/2401.00094 (2024) - [i14]Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker:
Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation. CoRR abs/2404.14657 (2024) - [i13]Manyi Yao, Abhishek Aich, Yumin Suh, Amit Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker:
Efficient Transformer Encoders for Mask2Former-style models. CoRR abs/2404.15244 (2024) - 2023
- [c17]Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh:
Efficient Controllable Multi-Task Architectures. ICCV 2023: 5717-5728 - [c16]Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas:
OmniLabel: A Challenging Benchmark for Language-Based Object Detection. ICCV 2023: 11919-11928 - [c15]Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng:
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation. ICML 2023: 7658-7674 - [c14]Jiho Choi
, Junghoon Park, Woocheol Kim, Jin-Hyeok Park, Yumin Suh, Minchang Sung:
PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU Labels. ECML/PKDD (6) 2023: 243-258 - [c13]Weijian Deng, Yumin Suh, Xiang Yu, Masoud Faraki, Liang Zheng, Manmohan Chandraker:
Split to Learn: Gradient Split for Multi-Task Human Image Analysis. WACV 2023: 4340-4349 - [i12]Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng:
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation. CoRR abs/2302.01094 (2023) - [i11]Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas:
OmniLabel: A Challenging Benchmark for Language-Based Object Detection. CoRR abs/2304.11463 (2023) - [i10]Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas:
Improving Pseudo Labels for Open-Vocabulary Object Detection. CoRR abs/2308.06412 (2023) - [i9]Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh:
Efficient Controllable Multi-Task Architectures. CoRR abs/2308.11744 (2023) - 2022
- [c12]Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker:
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CVPR 2022: 9255-9264 - [c11]Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Controllable Dynamic Multi-Task Architectures. CVPR 2022: 10945-10954 - [c10]Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han:
Learning Semantic Segmentation from Multiple Datasets with Label Shifts. ECCV (28) 2022: 20-36 - [i8]Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han:
Learning Semantic Segmentation from Multiple Datasets with Label Shifts. CoRR abs/2202.14030 (2022) - [i7]Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker:
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CoRR abs/2203.03970 (2022) - [i6]Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Controllable Dynamic Multi-Task Architectures. CoRR abs/2203.14949 (2022) - [i5]Jiho Choi, Junghoon Park, Woocheol Kim, Jin-Hyeok Park, Yumin Suh, Minchang Sung:
PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU Labels. CoRR abs/2211.08604 (2022) - 2021
- [c9]Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker:
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CVPR 2021: 15292-15301 - [i4]Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker:
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CoRR abs/2103.07503 (2021) - 2020
- [c8]Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, Bohyung Han:
Learning to Optimize Domain Specific Normalization for Domain Generalization. ECCV (22) 2020: 68-83
2010 – 2019
- 2019
- [c7]Yumin Suh, Bohyung Han, Wonsik Kim, Kyoung Mu Lee:
Stochastic Class-Based Hard Example Mining for Deep Metric Learning. CVPR 2019: 7251-7259 - [i3]Seonguk Seo, Yumin Suh, Dongwan Kim, Jongwoo Han, Bohyung Han:
Learning to Optimize Domain Specific Normalization for Domain Generalization. CoRR abs/1907.04275 (2019) - 2018
- [c6]Yumin Suh, Jingdong Wang, Siyu Tang, Tao Mei, Kyoung Mu Lee:
Part-Aligned Bilinear Representations for Person Re-identification. ECCV (14) 2018: 418-437 - [i2]Yumin Suh, Jingdong Wang, Siyu Tang, Tao Mei, Kyoung Mu Lee:
Part-Aligned Bilinear Representations for Person Re-identification. CoRR abs/1804.07094 (2018) - 2017
- [i1]Gyeongsik Moon, Ju Yong Chang, Yumin Suh, Kyoung Mu Lee:
Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation. CoRR abs/1706.04758 (2017) - 2016
- [c5]Yumin Suh, Kyoung Mu Lee:
Appearance dependent inter-part relationship for human pose estimation. APSIPA 2016: 1-4 - [c4]Ho Yub Jung, Yumin Suh, Gyeongsik Moon, Kyoung Mu Lee:
A Sequential Approach to 3D Human Pose Estimation: Separation of Localization and Identification of Body Joints. ECCV (5) 2016: 747-761 - 2015
- [c3]Yumin Suh, Kamil Adamczewski, Kyoung Mu Lee:
Subgraph matching using compactness prior for robust feature correspondence. CVPR 2015: 5070-5078 - [c2]Kamil Adamczewski, Yumin Suh, Kyoung Mu Lee:
Discrete Tabu Search for Graph Matching. ICCV 2015: 109-117 - 2012
- [c1]Yumin Suh, Minsu Cho, Kyoung Mu Lee:
Graph Matching via Sequential Monte Carlo. ECCV (3) 2012: 624-637
Coauthor Index
aka: Manmohan Chandraker
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last updated on 2024-10-11 17:24 CEST by the dblp team
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