Yumin Suh

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 29

Top Topics

Subgraph Matching

Metric Learning

Top Venues

Publications

Manyi Yao, Abhishek Aich, Yumin Suh, Amit Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker
Efficient Transformer Encoders for Mask2Former-style models. CoRR (2024)
Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker
Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation. CoRR (2024)
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 (2024)
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 (2023)
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 (2023)
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)
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)
Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh
Efficient Controllable Multi-Task Architectures. ICCV (2023)
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)
Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation. CoRR (2023)
Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh
Efficient Controllable Multi-Task Architectures. CoRR (2023)
Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation. ICML (2023)
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 (2022)
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)
Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker
Controllable Dynamic Multi-Task Architectures. CoRR (2022)
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 (2022)
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 (2022)
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)
Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker
Controllable Dynamic Multi-Task Architectures. CVPR (2022)
Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CVPR (2021)
Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CoRR (2021)
Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, Bohyung Han
Learning to Optimize Domain Specific Normalization for Domain Generalization. ECCV (22) (2020)
Yumin Suh, Bohyung Han, Wonsik Kim, Kyoung Mu Lee
Stochastic Class-Based Hard Example Mining for Deep Metric Learning. CVPR (2019)
Seonguk Seo, Yumin Suh, Dongwan Kim, Jongwoo Han, Bohyung Han
Learning to Optimize Domain Specific Normalization for Domain Generalization. CoRR (2019)
Yumin Suh, Jingdong Wang, Siyu Tang, Tao Mei, Kyoung Mu Lee
Part-Aligned Bilinear Representations for Person Re-identification. CoRR (2018)
Yumin Suh, Jingdong Wang, Siyu Tang, Tao Mei, Kyoung Mu Lee
Part-Aligned Bilinear Representations for Person Re-identification. ECCV (14) (2018)
Gyeongsik Moon, Ju Yong Chang, Yumin Suh, Kyoung Mu Lee
Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation. CoRR (2017)
Yumin Suh, Kyoung Mu Lee
Appearance dependent inter-part relationship for human pose estimation. APSIPA (2016)
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)
Yumin Suh, Kamil Adamczewski, Kyoung Mu Lee
Subgraph matching using compactness prior for robust feature correspondence. CVPR (2015)
Kamil Adamczewski, Yumin Suh, Kyoung Mu Lee
Discrete Tabu Search for Graph Matching. ICCV (2015)
Yumin Suh, Minsu Cho, Kyoung Mu Lee
Graph Matching via Sequential Monte Carlo. ECCV (3) (2012)