LabCompass

David Crandall

Computer Science · Indiana University

Established · publishing since 1999

Publications

261

Citations

10,539

Est. group size

~2

Recurring co-author estimate

Active years

28

Publishing since 1999

Research summary
AI-generated

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.

Computer vision for images and videoVideo understanding and temporal analysisHuman-centered AI and roboticsDeep learning methods and interpretabilityApplied vision in health and dietary assessment

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

Funding
Public award records

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.

In context
Among 649 established Computer Science PIs within our index
Citations: 10,539cohort median 1,725
h-index: 47cohort median 19
Publications / year (recent): 14.2cohort median 4.2

Typically publishes in teams of ~5 · 26% small-team papers (≤3 authors) · across 48 venues

Publication cadence
Publications per year over the last 10 years — averaging 14.2/year recently
2017: 20 publications172018: 22 publications182019: 25 publications192020: 24 publications202021: 26 publications26212022: 16 publications222023: 21 publications232024: 17 publications242025: 14 publications252026: 3 publications26
Collaborators per year
Distinct co-authors at Indiana University each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.
2017: 4 collaborators at the same institution2018: 11 collaborators at the same institution2019: 4 collaborators at the same institution2020: 12 collaborators at the same institution2021: 13 collaborators at the same institution2022: 5 collaborators at the same institution2023: 5 collaborators at the same institution2024: 3 collaborators at the same institution2025: 9 collaborators at the same institution1719212325
Recent publications
Publishes in
  • 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
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By research-topic overlap
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  • Yi Jiang

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  • Min Liu

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  • Le Zhang

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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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