Charles V. Stewart
Computer Science · The Ohio State University
Publications
197
Citations
5,515
Est. group size
~11
Recurring co-author estimate
Active years
56
Publishing since 1971
Charles V. Stewart works in computer vision, with a current focus on identifying and tracking individual animals (such as zebras, primates, and beetles) from photos, camera-trap images, and drone video. His research combines deep learning techniques—like vision transformers, diffusion models, and feature-matching algorithms—with practical applications in wildlife monitoring and animal behavior studies.
Publication output has grown noticeably in recent years, rising from a slower period around 2020-2022 to a peak of 18 publications in 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- On Combining Animal Re-Identification Models to Address Small Datasets
International Journal of Computer Vision · 2026
- Adapting the Re‐ID Challenge for Static Sensors
IET Computer Vision · 2025
- Re‐identification of patterned animals by multi‐image feature aggregation and geometric similarity
IET Computer Vision · 2025
- BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
International Journal of Computer Vision · 2025
- Darwin's hostile forces shape social scaling in equids: a comparison of group size dynamics in Grevy's and plains zebras
Animal Behaviour · 2025
- Correction: BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
International Journal of Computer Vision · 2025
- Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis
2025
- Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis
arXiv (Cornell University) · 2025
- Fine-Grained Beetle Taxonomy with Vision Models: A Benchmark on Long-Tailed and Domain-Adaptive Classification
2025
- Unsupervised Pelage Pattern Unwrapping for Animal Re-identification
arXiv (Cornell University) · 2025
- Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation
arXiv (Cornell University) · 2025
- Species-Agnostic Patterned Animal Re-identification by Aggregating Deep Local Features
International Journal of Computer Vision · 2024
- Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs
2024
- Multispecies Animal Re-ID Using a Large Community-Curated Dataset
arXiv (Cornell University) · 2024
- Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution
Lecture notes in computer science · 2024
- arXiv (Cornell University)×20
- SSRN Electronic Journal×13
- International Journal of Computer Vision×4
- Harvard Dataverse×4
- Methods in Ecology and Evolution×3
- Chenhao Zhang
Computer Science · Purdue University West Lafayette
- Mostafa Elhashash
Computer Science · The Ohio State University
- Yawen Lu
Computer Science · Purdue University West Lafayette
- Yezhi Shen
Computer Science · Purdue University West Lafayette
- Debao Huang
Computer Science · The Ohio State University
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 19, 2026.
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