Taisei Hanyu
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Researcher
Faculty Researcher
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Biography and Research Information
OverviewAI-generated summary
Taisei Hanyu's research focuses on developing and applying advanced machine learning techniques, particularly transformer models, for complex data analysis and representation. His recent work includes the development of AerialFormer for multi-resolution aerial image segmentation and SolarFormer for solar photovoltaic profiling. Hanyu has also contributed to research on open-vocabulary 3D mapping and scene representation with Open-Fusion, and vision-language-action models with CodeGraphVLP.
His scholarly output includes 13 publications with 34 citations and an h-index of 3. Hanyu actively collaborates with researchers at the University of Arkansas at Fayetteville, including Chase Rainwater, Minh Quan Tran, Minh Trần, and Anh Tran, with whom he has co-authored multiple publications. His recent activity indicates ongoing engagement in his research areas.
Metrics
- h-index: 3
- Publications: 13
- Citations: 36
Selected Publications
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Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective (2026)
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SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation (2025)
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AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation (2024)
Collaboration Network
Top Collaborators
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective
- Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective
- Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective
- Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective
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