LabCompass

Kristina Schaefer

Engineering · Indiana University

OpenAlex
Advanced Numerical Analysis TechniquesGenerative Adversarial Networks and Image Synthesis3D Shape Modeling and AnalysisAdvanced Image Processing TechniquesModel Reduction and Neural Networks

Publications

13

Citations

34

Est. group size

—

Recurring co-author estimate

Active years

61

Publishing since 1966

Research summary
AI-generated

Kristina Schaefer works on mathematical methods for image processing, developing techniques that use partial differential equations (mathematical rules describing how quantities change and spread) to restore, sharpen, and reconstruct images. A recurring focus is 'diffusion-shock' methods, which combine smoothing and edge-enhancing effects, including approaches that fill in missing parts of images (inpainting) and connect these tools to deep learning.

Image inpainting and restorationDiffusion-shock partial differential equationsMathematical image processingImage sharpening and enhancementPDE-based deep learning

Publication activity began appearing around 2022 and has continued at a steady pace of roughly two papers per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
17181920212022: 2 publications222023: 4 publications4232024: 1 publication242025: 2 publications252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×3
  • Lecture notes in computer science×2
  • Journal of Mathematical Imaging and Vision×2
  • PLANT PHYSIOLOGY×1
  • bioRxiv (Cold Spring Harbor Laboratory)×1

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 11, 2026.

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