David Crandall
Computer Science · Indiana University
Publications
261
Citations
10,539
Est. group size
~2
Recurring co-author estimate
Active years
28
Publishing since 1999
David Crandall works in computer vision and machine learning, developing methods for analyzing images and videos and connecting these techniques to real-world applications. His recent work spans video understanding, first-person (wearable camera) analysis, medical and dietary image assessment, and human-centered studies including robots that interact with older adults. Some projects also explore how AI systems can be made more interpretable and how they intersect with human perception and design.
Publication output was steady at roughly 20-26 papers per year through 2021 and has gradually declined to around 14 per year more recently.
Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026
No award with a current end date on record.
4 earlier awards
- NSF 2020194Sep 2020 – Aug 2025 · $500k awarded
AI Institute: Planning: AI Institute for Rural Health, Wellness, and Resilience
- NSF 1253549Mar 2013 – Feb 2020 · $500k awarded
CAREER: Observing the world through the lenses of social media
- NSF 1834899Jun 2018 – May 2019 · $10k awarded
Student Travel Grants for the Second International Workshop on The Bright and Dark Side of Computer Vision: Challenges and Opportunities for Privacy and Security
- NSF 1744748Aug 2017 – Jul 2018 · $15k awarded
A Workshop on Computer Vision Challenges and Opportunities for Privacy and Security
Matched to public NIH RePORTER and NSF records by name and institution. Awards from other agencies are not shown, and a match is not always found — this list may be incomplete.
Typically publishes in teams of ~5 · 26% small-team papers (≤3 authors) · across 48 venues
- PSegGAN: Pseudo-Segmentation-Guided GANs for Brain Tissue Inpainting
Lecture notes in computer science · 2026
- TimeRefine: Temporal Grounding with Time Refining Video LLM
2026
- A solution to generalized learning from small training sets found in infants’ repeated visual experiences of individual objects
Proceedings of the National Academy of Sciences · 2026
- Reconstructing High Quality Raw Video Using Temporal Affinity and Diffusion Prior
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2025
- Bittersweet Snapshots of Life: Designing to Address Complex Emotions in a Reminiscence Interaction between Older Adults and a Robot
2025
- Research as Care: A Reflection on Incorporating the Ethics of Care in Design Research with People Living with Dementia
2025
- Geometric Constraints in Deep Learning Frameworks: A Survey
ACM Computing Surveys · 2025
- Let's make up a story: design and evaluation of an improvisational storytelling robot to foster older adults' meaning and purpose in life
Frontiers in Dementia · 2025
- Stable versus Temporally Sensitive Optical Security Tags from Metal Nanoparticles
Nano Letters · 2025
- Guest Editorial Introduction to the Special Issue on Segment Anything for Videos and Beyond
IEEE Transactions on Circuits and Systems for Video Technology · 2025
- Bridging Human Intuition and AI in Colorful Food Assessment
2025
- Human-Centered Evaluation of Aesthetic Quality Assessment Models Using a Smartphone Camera Application
2025
- Run Like a Neural Network, Explain Like k-Nearest Neighbor
2025
- Sequence-Based Identification of First-Person Camera Wearers in Third-Person Views
arXiv (Cornell University) · 2025
- Investigating medical YouTubers’ parasocial visual cues in their COVID-related videos: a computer vision approach
Research Square · 2025
- arXiv (Cornell University)×54
- Lecture notes in computer science×15
- IEEE Transactions on Pattern Analysis and Machine Intelligence×9
- eScholarship (California Digital Library)×5
- Clinical Chemistry×5
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Sep 1, 2026.
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