Amy R. Reibman
Computer Science · Purdue University West Lafayette
Publications
205
Citations
6,482
Est. group size
~6
Recurring co-author estimate
Active years
43
Publishing since 1984
Amy R. Reibman works on image and video quality assessment and its use in automated recognition systems, including face detection, face and person re-identification, and animal identification (such as cattle recognition from camera-trap or farm imagery). Her research examines how image quality, lighting conditions, and video compression affect the accuracy of computer vision and analytics pipelines, and how to design systems and metrics that account for these effects. This work spans both human-centered applications (face and person recognition, privacy/obscuration) and agricultural/animal monitoring applications.
Publication output has fluctuated over the last decade without a clear upward or downward trend, with a low point in 2022 followed by a resurgence in 2023-2024.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Facial phenotyping of Holstein calves using pose estimation models with varying keypoints
JDS Communications · 2026
- Automated Camera Trap Analysis: What Makes Real-World Data Harder Than Curated Datasets?
2025
- Black-Mirror Light-Probe Cow Model For Specular Highlight Removal To Improve Holstein Cattle Identification
2025
- AutoCattlogger: Track-assisted, automatic, instant cattle identity cataloger for recognition and beyond
Smart Agricultural Technology · 2025
- Uli-Ri: A Benchmark for Person Re-Identification With Quantitative Annotations
2024
- Minimizing Human Labor for In-the-Wild Camera Trap Processing Pipeline
2024
- Image Quality Assessment in End-to-end Face Analytics Systems
2024
- Illumination Correction for Unsupervised Person Re-Identification
2024
- Task-aware image quality estimators for face detection
EURASIP Journal on Image and Video Processing · 2024
- SURABHI: Self-Training Using Rectified Annotations-Based Hard Instances for Eidetic Cattle Recognition
Sensors · 2024
- Gallery-Query Protocol for Evaluating Face Image Quality Metrics
2023
- Illumination Variation Correction Using Image Synthesis For Unsupervised Domain Adaptive Person Re-Identification
arXiv (Cornell University) · 2023
- End-to-end evaluation of practical video analytics systems for face detection and recognition
Electronic Imaging · 2023
- Video-Analytics Task-Aware Quad-Tree Partitioning and Quantization for HEVC
2022 IEEE International Conference on Image Processing (ICIP) · 2022
- Evaluating Image Quality Estimators for Face Matching
2022
- Electronic Imaging×11
- arXiv (Cornell University)×8
- Computers and Electronics in Agriculture×4
- Journal of Imaging×3
- Smart Agricultural Technology×2
- Michael Gallant
Computer Science · Indiana University
- Xiangkai Liu
Computer Science · Purdue University West Lafayette
- Mary L. Comer
Computer Science · Purdue University West Lafayette
- Sibendu Paul
Computer Science · Purdue University West Lafayette
- Yuning Huang
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.
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