Avinash C. Kak
Computer Science · Purdue University West Lafayette
Publications
139
Citations
10,843
Est. group size
—
Recurring co-author estimate
Active years
57
Publishing since 1970
Avinash C. Kak works in computer vision and image analysis, with recent projects on matching and analyzing satellite images (including 3D scene rendering and change detection), medical image translation for pathology slides, building detection in remote sensing imagery, and X-ray based baggage screening systems. Some of this work also connects to software engineering, such as retrieving relevant code to help locate bugs. Overall, the research centers on developing and evaluating algorithms, often using deep learning, for extracting useful information from images across different application domains.
Publication output has fluctuated over the last decade, rising to peaks around 2019-2021 and 2023, with a recent slowdown in 2024-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- EpiMask: Leveraging Epipolar Distance Based Masks in Cross-Attention for Satellite Image Matching
arXiv (Cornell University) · 2026
- SatDepth: A Novel Dataset for Satellite Image Matching
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2025
- Incorporating Season and Solar Specificity Into Renderings Made by a NeRF Architecture Using Satellite Images
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2024
- A Laplacian Pyramid Based Generative H&E Stain Augmentation Network
IEEE Transactions on Medical Imaging · 2023
- Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs
Lecture notes in computer science · 2023
- Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs
arXiv (Cornell University) · 2023
- An Aligned Multi-Temporal Multi-Resolution Satellite Image Dataset for Change Detection Research
arXiv (Cornell University) · 2023
- Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images
arXiv (Cornell University) · 2023
- A Laplacian Pyramid Based Generative H&E Stain Augmentation Network
arXiv (Cornell University) · 2023
- Incorporating Season and Solar Specificity into Renderings made by a NeRF Architecture using Satellite Images
arXiv (Cornell University) · 2023
- Uncertainty, Edge, and Reverse-Attention Guided Generative Adversarial Network for Automatic Building Detection in Remotely Sensed Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2022
- maskGRU: Tracking Small Objects in the Presence of Large Background Motions
arXiv (Cornell University) · 2022
- DEBISim: A simulation pipeline for dual energy CT-based baggage inspection systems
Journal of X-Ray Science and Technology · 2021
- Semantic Labeling of Large-Area Geographic Regions Using Multiview and Multidate Satellite Images and Noisy OSM Training Labels
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2021
- Retrieval from software libraries for bug localization
ACM SIGSOFT Software Engineering Notes · 2021
- arXiv (Cornell University)×16
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing×4
- Computer Vision and Image Understanding×3
- Electronic Imaging×2
- Journal of Software Evolution and Process×1
- Min Liu
Computer Science · Purdue University West Lafayette
- Qiang Qiu
Computer Science · Purdue University West Lafayette
- David Crandall
Computer Science · Indiana University
- Chenhao Zhang
Computer Science · Purdue University West Lafayette
- Le Zhang
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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