Jackson Cothren Data-verified
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Biography and Research Information
OverviewAI-generated summary
Jackson Cothren's research focuses on the application of advanced computational techniques, particularly deep learning and artificial intelligence, to diverse fields. He has investigated methods for aerial image segmentation using multi-resolution transformers, as seen in his work on AerialFormer. His research also extends to semantic scene understanding through fairness domain adaptation, as demonstrated by FREDOM. Cothren has explored direct aerial visual geolocalization with deep neural networks and the use of UAV and ground-based geophysical imagery for evaluating soil heterogeneity's influence on soybean development.
His work includes developing and applying machine learning models for tasks such as video scene graph generation and anticipation (HyperGLM) and simultaneous referring remote sensing segmentation and detection (RSSep). Cothren has also contributed to the broader research landscape by addressing challenges in geospatial data analysis, particularly in the context of COVID-19, and by exploring community-building and infrastructure design for transdisciplinary research, as noted in his publication on dataARC.
Cothren holds an h-index of 13 and has authored 71 publications with 797 citations. He has been a principal investigator or co-principal investigator on six federal grants totaling over $7.7 million, including a significant NSF grant for the Arkansas Smart Transportation Research Incubator. His collaborations include researchers from the University of Arkansas at Fayetteville, such as Pha Nguyen, Thanh-Dat Truong, Trong-Thuan Nguyen, and Chase Rainwater.
Metrics
- h-index: 13
- Publications: 71
- Citations: 809
Selected Publications
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Data from: Detecting altimetric changes in Arctic landscapes using historical aerial imagery-derived digital elevation models (hDEMs): Case study of the Black Mountain Alluvial Fan Complex, Canada (2025)
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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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FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding (2025)
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HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation (2025)
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RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection (2025)
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S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling (2025)
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AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation (2024)
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Improving InSAR Accuracy for Slow Deformation and Change Detection with Lidar and GPS (2024)
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FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding (2023)
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Absolute Accuracy Assessment of Maxar's Worldwide 3D Textured Mesh (2022)
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Direct Aerial Visual Geolocalization Using Deep Neural Networks (2021)
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Challenges and Limitations of Geospatial Data and Analyses in the Context of COVID-19 (2021)
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Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery (2021)
Federal Grants 6 $7,782,453 total
CC* CIRA: Shared Arkansas Research Plan for Community Cyber Infrastructure (SHARP CCI)
E-RISE Rll: Arkansas Smart Transportation Research Incubator through Data Engineering and Science
Collaboration Network
Top Collaborators
- FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
- CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation
- FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
- DINTR: Tracking via Diffusion-based Interpolation
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
Showing 5 of 13 shared publications
- DINTR: Tracking via Diffusion-based Interpolation
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- THYME: Temporal Hierarchical-Cyclic Interactivity Modeling for Video Scene Graphs in Aerial Footage
Showing 5 of 7 shared publications
- DINTR: Tracking via Diffusion-based Interpolation
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- THYME: Temporal Hierarchical-Cyclic Interactivity Modeling for Video Scene Graphs in Aerial Footage
Showing 5 of 7 shared publications
- FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
- CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation
- FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
- FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
- ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models
Showing 5 of 6 shared publications
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
- FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
Showing 5 of 6 shared publications
- 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
- FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
- FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
- FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
- ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models
- FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- THYME: Temporal Hierarchical-Cyclic Interactivity Modeling for Video Scene Graphs in Aerial Footage
- CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Challenges and Limitations of Geospatial Data and Analyses in the Context of COVID-19
- Challenges and Limitations of Geospatial Data and Analyses in the Context of COVID-19
- Geoprocessing, Workflows, and Provenance
- Challenges and Limitations of Geospatial Data and Analyses in the Context of COVID-19
- Geoprocessing, Workflows, and Provenance
- FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
- FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
- CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
- CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- Land8Fire: A Complete Study on Wildfire Segmentation Through Comprehensive Review, Human-Annotated Multispectral Dataset, and Extensive Benchmarking
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation
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