Jan P. Allebach
Physics and Astronomy · Purdue University West Lafayette
Publications
623
Citations
8,597
Est. group size
~10
Recurring co-author estimate
Active years
51
Publishing since 1975
Jan P. Allebach's research covers digital imaging and computer vision, including printing and color reproduction technologies, image enhancement and super-resolution, and machine learning methods for tasks like handwriting/text recognition, cell and nuclei segmentation, and image analysis. Work spans both fundamental imaging science (e.g., halftoning and print quality modeling) and applied deep learning systems for recognition and biomedical image analysis.
Publication output grew steadily from 2017 through a peak around 2019-2020, then has declined notably in recent years (2023-2025).
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- ZAR: Zero-shot Action Recognition with Dynamic Prompt Tuning
Electronic Imaging · 2025
- Page Classification for Print Imaging Pipeline
arXiv (Cornell University) · 2025
- RGBD Routed Blending: A 3D Reconstruction Pipeline for Video Conferencing
Electronic Imaging · 2025
- Emotion Recognition Using Convolutional Neural Networks
arXiv (Cornell University) · 2025
- Self-Attention Enhanced Recognition: A Unified Model for Handwriting and Scene-text Recognition with Improved Inference
Electronic Imaging · 2024
- Generalizing Handwriting and Scene-Text Detection in Images
Electronic Imaging · 2024
- Ensemble processing and convexity measure for abnormally shaped nuclei segmentation
2024
- A Color Image Analysis Tool to Help Users Choose a Makeup Foundation Color
arXiv (Cornell University) · 2024
- The Cell Tracking Challenge: 10 years of objective benchmarking
Nature Methods · 2023
- Ink Drop Displacement Model-Based Direct Binary Search
IEEE Transactions on Image Processing · 2023
- Dot profile model-based direct binary search
Electronic Imaging · 2023
- Light-weight recurrent network for real-time video super-resolution
Electronic Imaging · 2023
- Analysis of food processing crystal images
Electronic Imaging · 2023
- An Ensemble Method with Edge Awareness for Abnormally Shaped Nuclei Segmentation
2023
- Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2023
- Electronic Imaging×111
- arXiv (Cornell University)×20
- Technical programs and proceedings/Technical program and proceedings×8
- Microchimica Acta×3
- IEEE Transactions on Image Processing×3
- Yihui Liang
Computer Science · Purdue University West Lafayette
- George T.‐C. Chiu
Engineering · Purdue University West Lafayette
- James T. Todd
Neuroscience · The Ohio State University
- Nian Wang
Computer Science · Indiana University
- Ting Luo
Computer Science · Indiana 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 20, 2026.
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