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Paper Abstract and Keywords
Presentation 2025-11-30 14:15
Robust Skeleton-Based Action Recognition through Contrastive Language-Skeleton Feature Alignment
Motohiro Isaka, Yen Wei Chen, Jiaqing Liu (Ritsumeikan Univ)
Abstract (in Japanese) (See Japanese page) 
(in English) Recent years, skeleton-based action recognition has seen increasing application in diverse fields such as surveillance, sports analysis, and human behavior understanding, owing to its lightweight and robust representation capabilities. However, a challenge persists in real-world environments where certain joint coordinates are often missing
or noisy, leading to a significant performance degradation in existing skeleton models when confronted with this incomplete data. Therefore, this study proposes a Multi-Modal Local Feature Emphasis method. By conducting contrastive learning between features from local skeleton regions and corresponding local text features, we achieved a higher-performance
classification compared to existing models for action recognition with missing data.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Action Recognition / Skeleton / Occlusion / / / /  
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Conference Information
Committee KANSAI  
Conference Date 2025-11-30 - 2025-11-30 
Place (in Japanese) (See Japanese page) 
Place (in English) OMU I-site Namba 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Institute of Image Information and Television Engineers, Kansai chapter, Workshop for young researchers 
Paper Information
Registration To KANSAI 
Conference Code 2025-11-KANSAI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Robust Skeleton-Based Action Recognition through Contrastive Language-Skeleton Feature Alignment 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Action Recognition  
Keyword(3) Skeleton  
Keyword(4) Occlusion  
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1st Author's Name Motohiro Isaka  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
2nd Author's Name Yen Wei Chen  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
3rd Author's Name Jiaqing Liu  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
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Speaker Author-1 
Date Time 2025-11-30 14:15:00 
Presentation Time 15 minutes 
Registration for KANSAI 
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