Han-Mu Park

Orcid: 0000-0002-1174-553X

According to our database1, Han-Mu Park authored at least 13 papers between 2016 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Automatic Gloss-level Data Augmentation for Sign Language Translation.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

CIAFill: Lightweight and Fast Image Inpainting with Channel Independent Attention.
Proceedings of the 2022 International Conference on Artificial Intelligence in Information and Communication, 2022

2021
Per-frame Sign Language Gloss Recognition.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

KSL-Guide: A Large-scale Korean Sign Language Dataset Including Interrogative Sentences for Guiding the Deaf and Hard-of-Hearing.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

2020
Robust Keypoint Normalization Method for Korean Sign Language Translation using Transformer.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

2019
Exploiting multi-layer graph factorization for multi-attributed graph matching.
Pattern Recognit. Lett., 2019

Consistent multiple graph matching with multi-layer random walks synchronization.
Pattern Recognit. Lett., 2019

2018
Multi-Attributed Graph Matching With Multi-Layer Graph Structure and Multi-Layer Random Walks.
IEEE Trans. Image Process., 2018

Greedy refinement of object proposals via boundary-aligned minimum bounding box search.
IET Comput. Vis., 2018

2017
Multi-object tracking via tracklet confidence-aided relative motion analysis.
J. Electronic Imaging, 2017

Multi-layer Random Walks Synchronization for Multi-attributed Multiple Graph Matching.
CoRR, 2017

2016
Encouraging second-order consistency for multiple graph matching.
Mach. Vis. Appl., 2016

Multi-attributed Graph Matching with Multi-layer Random Walks.
Proceedings of the Computer Vision - ECCV 2016, 2016


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