C
Chase Rainwater Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor / Department Chairperson
faculty
15 h-index
59 pubs
940 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Chase Rainwater's research group focuses on the application of advanced machine learning techniques, particularly deep neural networks and transformer models, to complex data analysis and prediction tasks. His recent publications demonstrate work in areas such as aerial image segmentation, semantic scene segmentation with domain adaptation, and video paragraph captioning. He has also investigated vision-language models for video understanding and direct aerial visual geolocalization using deep neural networks.
Rainwater is a Co-Principal Investigator on two significant National Science Foundation (NSF) Convergence Accelerator grants totaling over $5.7 million. One grant, for nearly $5 million, supports the "Cultivate IQ - Empowering Regional Food Systems" project. The other, for over $740,000, focuses on "Data-driven Agriculture to Bridge Small Farms to Regional Food Supply Chains." These projects highlight a commitment to leveraging data science for agricultural and food system improvements.
His academic contributions are reflected in a scholarly record of 57 publications, which have garnered 918 citations, and an h-index of 15. He collaborates with several researchers at the University of Arkansas at Fayetteville, including Taisei Hanyu and Jackson Cothren.
Metrics
- h-index: 15
- Publications: 59
- Citations: 940
Selected Publications
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Land8Fire: A Complete Study on Wildfire Segmentation Through Comprehensive Review, Human-Annotated Multispectral Dataset, and Extensive Benchmarking (2025)
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RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection (2025)
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A Bi-Modular Auto Encoder-Based Unsupervised Degradation Detection Methodology for Remaining Useful Life Prediction (2024)
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AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation (2024)
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A Bi-Modular Auto Encoder-Based Unsupervised Degradation Detection Methodology for Remaining Useful Life Prediction (2024)
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VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning (2022)
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EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring (2022)
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Direct Aerial Visual Geolocalization Using Deep Neural Networks (2021)
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BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation (2021)
Federal Grants 2 $5,742,469 total
NSF
Co-PI
Dec 2023 - Nov 2026
NSF Convergence Accelerator Track J Phase 2: Cultivate IQ - Empowering Regional Food Systems
Collaboration Network
Top Collaborators
Ngan Le
University of Arkansas at Fayetteville (US)
9 shared publications
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
- VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
- VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
Showing 5 of 9 shared publications
Khoa Luu
University of Arkansas at Fayetteville
6 shared publications
In database
- BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
- VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
- EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
- VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
- BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
Showing 5 of 6 shared publications
Kashu Yamazaki
6 shared publications
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
- AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
- VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
- SlotVLA: Towards Modeling of Object-Relation Representations in Robotic Manipulation
Showing 5 of 6 shared publications
Taisei Hanyu
6 shared publications
In database
- AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- SlotVLA: Towards Modeling of Object-Relation Representations in Robotic Manipulation
- Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective
- Clutter-Resistant Vision-Language-Action Models through Object-Centric and Geometry Grounding
Showing 5 of 6 shared publications
Jackson Cothren
University of Arkansas at Fayetteville
5 shared publications
In database
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- Direct Aerial Visual Geolocalization Using Deep Neural Networks
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
- Land8Fire: A Complete Study on Wildfire Segmentation Through Comprehensive Review, Human-Annotated Multispectral Dataset, and Extensive Benchmarking
Thanh-Dat Truong
University of Arkansas at Fayetteville
4 shared publications
In database
- BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
- EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
- BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
- BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in\n Semantic Scene Segmentation
Chi Nhan Duong
3 shared publications
- BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
- BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
- BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in\n Semantic Scene Segmentation
Son Lam Phung
3 shared publications
- BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
- BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
- BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in\n Semantic Scene Segmentation
Khoa Vo
3 shared publications
- VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
- SlotVLA: Towards Modeling of Object-Relation Representations in Robotic Manipulation
- Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective
Haitao Liao
Fayetteville Public Library
3 shared publications
In database
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
Anthony L. Gunderman
3 shared publications
In database
- SlotVLA: Towards Modeling of Object-Relation Representations in Robotic Manipulation
- Clutter-Resistant Vision-Language-Action Models through Object-Centric and Geometry Grounding
- Clutter-Resistant Vision-Language-Action Models through Object-Centric and Geometry Grounding
Ngan Le
3 shared publications
- SlotVLA: Towards Modeling of Object-Relation Representations in Robotic Manipulation
- Clutter-Resistant Vision-Language-Action Models through Object-Centric and Geometry Grounding
- Clutter-Resistant Vision-Language-Action Models through Object-Centric and Geometry Grounding
Sang Truong
University of Arkansas at Fayetteville (US)
2 shared publications
- VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
- VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
Minh Trần
University of Arkansas at Fayetteville (US)
2 shared publications
- AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
Anh Tran
University of Arkansas at Fayetteville
2 shared publications
In database
- AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
Similar Researchers
Based on overlapping research topics
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