PeopleofSuperintelligence

Researcher

David Harwood

David Harwood is a computer vision researcher whose work spans texture classification, human and vehicle detection, and people tracking. He coauthored early papers on texture measures and center-symmetric auto-correlation, then applied partial least squares to human and vehicle detection. In 2013, he coauthored a paper on tracking people's hands and feet. He is a Faculty Research Assistant at the University of Maryland's Computer Vision Laboratory.

Works
72
Citations
19,900
h-index
30
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1994

    Texture measures with Kullback

    In 1994, he coauthors a paper with Timo Ojala and Matti Pietikäinen that evaluates texture measures through Kullback discrimination of distributions.

  2. 1995

    Center-symmetric texture classification

    He coauthors a 1995 texture-classification paper with Timo Ojala, Matti Pietikäinen, Shalom Kelman and Larry S. Davis, using center-symmetric auto-correlation and Kullback discrimination.

  3. 1996

    Comparing texture measures

    In 1996, he coauthors a comparative study of texture measures with Timo Ojala and Matti Pietikäinen.

  4. 2009

    Human detection with PLS

    In 2009, he coauthors a human-detection paper with William Robson Schwartz, Aniruddha Kembhavi and Larry S. Davis that uses partial least squares analysis.

  5. 2011

    Vehicle detection with PLS

    In 2011, he coauthors a vehicle-detection paper with Aniruddha Kembhavi and Larry S. Davis that uses partial least squares.

  6. May 2013

    Tracking hands and feet

    In May 2013, he coauthors a paper with Vlad I. Morariu and Larry S. Davis on tracking people's hands and feet with mixed network AND/OR search.

  7. As of October 2026

    Faculty Research Assistant

    As of October 2026, he is a Faculty Research Assistant at the University of Maryland's Computer Vision Laboratory. His work includes computer image analysis, parallel computation, multispectral satellite image segmentation and classification, and object recognition in images and videos.

  1. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes University of Maryland. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes University of Maryland. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Maryland. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Maryland. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. David Harwood csauthors.net. Checked 21 October 2026.
  2. Timo Ojala csauthors.net. Checked 21 October 2026.
  3. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE) 2011 abs-club.ricoh. Checked 21 October 2026.
  4. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE) 2013 abs-club.ricoh. Checked 21 October 2026.
  5. MAVRIC mavric.umd.edu. Checked 21 October 2026.
  6. Computer Vision Laboratory — One of 16 Centers and Labs in the University of Maryland Institute for Advanced Computer Studies cfar.umd.edu. Checked 21 October 2026.