Papers
Publications from our lab related to the ub-MOJI dataset, covering fingerspelling recognition, temporal localization, and sign language modeling.
Point-Supervised Japanese Fingerspelling Localization via HR-Pro and Contrastive Learning
Ryota Murai, Naoto Tsuta, Duk Shin, Yousun Kang
2025 IEEE/CVF International Conference on Computer Vision Workshops
Recognition of Japanese Finger-Spelled Characters Based on Finger Angle Features and Their Continuous Motion Analysis
Tamon Kondo, Ryota Murai, Zixun He, Duk Shin, Yousun Kang
Electronics 2025, 14(15), 3052
Temporal Localization and Recognition of Japanese Fingerspelling Using Hierarchical Reliability Propagation
Ryota Murai, Duk Shin, Yousun Kang
The 40th International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC 2025)
Point-Supervised Temporal Localization for Sign Language Recognition using Hierarchical Reliability Propagation
Ryota Murai, Tamon Kondo, Duk Shin, Yousun Kang
International Conference on Electronics, Information, and Communication (ICEIC2025)
Segmentation and Recognition of Japanese Sign Language Syllables Using Frame Clustering in Video
Tamon Kondo, Ryota Murai, Yousun Kang
International Conference on Electronics, Information, and Communication (ICEIC2025)
Evaluating the Accuracy of Real-Time Japanese Sign Language Word Recognition with Vision Transformer Models Trained on Angular Features
Tamon Kondo, Ryota Murai, Duk Shin and Yousun Kang
39th International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC 2024)
A Performance Comparison of Japanese Sign Language Recognition with ViT and CNN Using Angular Features
Tamon Kondo, Sakura Narumi, Zixun He, Duk Shin, Yousun Kang
Appl. Sci. 2024, 14(8), 3228