Taiga Yamane

According to our database1, Taiga Yamane authored at least 11 papers between 2023 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Joint Modeling of Big Five and HEXACO for Multimodal Apparent Personality-trait Recognition.
CoRR, October, 2025

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost.
CoRR, September, 2025

MSMVD: Exploiting Multi-scale Image Features via Multi-scale BEV Features for Multi-view Pedestrian Detection.
CoRR, August, 2025

SOMSRED-SVC: Sequential Output Modeling with Speaker Vector Constraints for Joint Multi-Talker Overlapped ASR and Speaker Diarization.
Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

Unified Audio-Visual Modeling for Recognizing Which Face Spoke When and What in Multi-Talker Overlapped Speech and Video.
Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

2024
Unified Multi-Talker ASR with and without Target-speaker Enrollment.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

MVAFormer: RGB-Based Multi-View Spatio-Temporal Action Recognition with Transformer.
Proceedings of the IEEE International Conference on Image Processing, 2024

Block Refinement Learning for Improving Early Exit in Autoregressive ASR.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024

2023
End-to-End Joint Target and Non-Target Speakers ASR.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

OnDA-DETR: Online Domain Adaptation for Detection Transformers with Self-Training Framework.
Proceedings of the IEEE International Conference on Image Processing, 2023

Leveraging Language Embeddings for Cross-Lingual Self-Supervised Speech Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023


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