Yumin Suh

According to our database, Yumin Suh authored at least 26 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Transformer Encoders for Mask2Former-style models.

Manyi Yao, Abhishek Aich, Yumin Suh, Amit Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker

CoRR, 2024

Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation.

Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker

CoRR, 2024

Taming Self-Training for Open-Vocabulary Object Detection.

Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, B. G. Vijay Kumar, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Generating Enhanced Negatives for Training Language-Based Object Detectors.

Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Improving the Efficiency-Accuracy Trade-off of DETR-Style Models in Practice.

Yumin Suh, Dongwan Kim, Abhishek Aich, Samuel Schulter, Jong-Chyi Su, Bohyung Han, Manmohan Chandraker

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Improving Pseudo Labels for Open-Vocabulary Object Detection.

Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas

CoRR, 2023

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation.

Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng

CoRR, 2023

Split to Learn: Gradient Split for Multi-Task Human Image Analysis.

Weijian Deng, Yumin Suh, Xiang Yu, Masoud Faraki, Liang Zheng, Manmohan Chandraker

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU Labels.

Jiho Choi, Junghoon Park, Woocheol Kim, Jin-Hyeok Park, Yumin Suh, Minchang Sung

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation.

Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng

Proceedings of the International Conference on Machine Learning, 2023

OmniLabel: A Challenging Benchmark for Language-Based Object Detection.

Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient Controllable Multi-Task Architectures.

Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning Semantic Segmentation from Multiple Datasets with Label Shifts.

Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han

Proceedings of the Computer Vision - ECCV 2022, 2022

On Generalizing Beyond Domains in Cross-Domain Continual Learning.

Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Controllable Dynamic Multi-Task Architectures.

Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Cross-Domain Similarity Learning for Face Recognition in Unseen Domains.

Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning to Optimize Domain Specific Normalization for Domain Generalization.

Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, Bohyung Han

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Learning to Optimize Domain Specific Normalization for Domain Generalization.

Seonguk Seo, Yumin Suh, Dongwan Kim, Jongwoo Han, Bohyung Han

CoRR, 2019

Stochastic Class-Based Hard Example Mining for Deep Metric Learning.

Yumin Suh, Bohyung Han, Wonsik Kim, Kyoung Mu Lee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Part-Aligned Bilinear Representations for Person Re-identification.

Yumin Suh, Jingdong Wang, Siyu Tang, Tao Mei, Kyoung Mu Lee

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation.

Gyeongsik Moon, Ju Yong Chang, Yumin Suh, Kyoung Mu Lee

CoRR, 2017

2016

A Sequential Approach to 3D Human Pose Estimation: Separation of Localization and Identification of Body Joints.

Ho Yub Jung, Yumin Suh, Gyeongsik Moon, Kyoung Mu Lee

Proceedings of the Computer Vision - ECCV 2016, 2016

Appearance dependent inter-part relationship for human pose estimation.

Yumin Suh, Kyoung Mu Lee

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2015

Discrete Tabu Search for Graph Matching.

Kamil Adamczewski, Yumin Suh, Kyoung Mu Lee

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Subgraph matching using compactness prior for robust feature correspondence.

Yumin Suh, Kamil Adamczewski, Kyoung Mu Lee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2012

Graph Matching via Sequential Monte Carlo.

Yumin Suh, Minsu Cho, Kyoung Mu Lee

Proceedings of the Computer Vision - ECCV 2012, 2012