Yumin Suh

According to our database1, Yumin Suh authored at least 22 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Generating Enhanced Negatives for Training Language-Based Object Detectors.
CoRR, 2024

2023
Improving Pseudo Labels for Open-Vocabulary Object Detection.
CoRR, 2023

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation.
CoRR, 2023

Split to Learn: Gradient Split for Multi-Task Human Image Analysis.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

OmniLabel: A Challenging Benchmark for Language-Based Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient Controllable Multi-Task Architectures.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Learning Semantic Segmentation from Multiple Datasets with Label Shifts.
Proceedings of the Computer Vision - ECCV 2022, 2022

On Generalizing Beyond Domains in Cross-Domain Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Controllable Dynamic Multi-Task Architectures.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning to Optimize Domain Specific Normalization for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Learning to Optimize Domain Specific Normalization for Domain Generalization.
CoRR, 2019

Stochastic Class-Based Hard Example Mining for Deep Metric Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Part-Aligned Bilinear Representations for Person Re-identification.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation.
CoRR, 2017

2016
A Sequential Approach to 3D Human Pose Estimation: Separation of Localization and Identification of Body Joints.
Proceedings of the Computer Vision - ECCV 2016, 2016

Appearance dependent inter-part relationship for human pose estimation.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2015
Discrete Tabu Search for Graph Matching.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Subgraph matching using compactness prior for robust feature correspondence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2012
Graph Matching via Sequential Monte Carlo.
Proceedings of the Computer Vision - ECCV 2012, 2012


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