James Davis
Computer Science · Purdue University West Lafayette
Publications
152
Citations
8,388
Est. group size
—
Recurring co-author estimate
Active years
60
Publishing since 1966
James Davis works in computer graphics, computer vision, and imaging, with recent projects spanning 3D scanning and modeling of people and objects, machine learning tools for detecting rip currents from drone and mobile camera footage, and mobile/citizen-science software for data collection in areas like public health and education. The work combines image and video analysis techniques with practical applications such as beach safety, low-resource health surveys, and accessible tools for students and citizen scientists.
Publication output was low and sporadic before 2021 but has been steady at roughly 5-9 papers per year from 2021 through 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- RipScout: Realtime ML-Assisted Rip Current Detection and Automated Data Collection Using UAVs
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2025
- RipFinder: real-time rip current detection on mobile devices
Frontiers in Marine Science · 2025
- Use of Mobile Forms in Low-Resource Areas for Population Health Surveys: Interview and Field Test Study
JMIRx Med · 2025
- Controllable Biophysical Human Faces
Computer Graphics Forum · 2025
- Digital Imprints and Mitigating Persistent Ai Biases Through Federated Learning
SSRN Electronic Journal · 2025
- Authors’ Response to Peer Review of “Use of Mobile Forms in Low-Resource Areas for Population Health Surveys: Interview and Field Test Study”
JMIRx Med · 2025
- Enhancing Complex Light Beam Propagation in Turbulent Atmosphere with Active Convolved Illumination
ACS Photonics · 2024
- SmartCS: Enabling the Creation of Machine Learning–Powered Computer Vision Mobile Apps for Citizen Science Applications without Coding
Citizen Science Theory and Practice · 2024
- SmartCS: Enabling the Creation of ML-Powered Computer Vision Mobile Apps for Citizen Science Applications without Coding
arXiv (Cornell University) · 2024
- MDD-Net: Medical Segmentation with Parallel Denoising Transformation
Preprints.org · 2024
- WIP: Citizen Science Tools with Machine Learning as a Pathway to Engage High School Students in Research
2024
- The Digital Michelangelo Project: 3D Scanning of Large Statues
ACM eBooks · 2023
- SCAPE: Shape Completion and Animation of People
ACM eBooks · 2023
- RipViz: Finding Rip Currents by Learning Pathline Behavior
IEEE Transactions on Visualization and Computer Graphics · 2023
- Multiple Reflections and the Near-Field Effects on a Metamaterial Quarter-Wave Plate
Applied Sciences · 2023
- arXiv (Cornell University)×3
- ACM eBooks×2
- Applied Sciences×2
- JMIRx Med×2
- 2021 IEEE Frontiers in Education Conference (FIE)×2
- Andrew Jones
Computer Science · Indiana University
- Voicu Popescu
Computer Science · Purdue University West Lafayette
- Skylar W. Wurster
Computer Science · The Ohio State University
- Jia‐Bin Huang
Computer Science · Purdue University West Lafayette
- Yezhi Shen
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile