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Researcher · University of Toronto · Canada

David J. Fleet

David J. Fleet publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, on topics such as Advanced Vision and Imaging, Human Pose and Action Recognition and Generative Adversarial Networks and Image Synthesis.

World rank
#23,408
of 1,633,909 ranked researchers
Rank in Canada
#660
of 38,960
Works
53
Citations
805
Citations per work
15.2

What does David J. Fleet research?

Computer Vision and Pattern Recognition: 42.9%Artificial Intelligence: 10.7%Control and Systems Engineering: 3.6%Computer Networks and Communications: 2.4%other fields: 40.4%43%top field
Computer Vision and Pattern Recognition42.9%Artificial Intelligence10.7%Control and Systems Engineering3.6%Computer Networks and Communications2.4%other fields40.4%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Computer Vision and Pattern Recognition43% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Control and Systems Engineering4% of their works
  4. 4Computer Networks and Communications2% of their works
  5. 5General Health Professions2% of their works
  6. 6Structural Biology2% of their works

Research topics

Which keywords describe David J. Fleet's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Convolutional Networks, Pose Estimation, Depth Estimation, Neural Networks, Representation Learning and Stereo Vision.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 22 words, with their numbers
  1. Deep Learning185 topics
  2. Unsupervised Learning143 topics
  3. Convolutional Networks122 topics
  4. Pose Estimation82 topics
  5. Depth Estimation71 topic
  6. Neural Networks72 topics
  7. Representation Learning72 topics
  8. Stereo Vision71 topic
  9. Action Recognition51 topic
  10. Spatiotemporal Features51 topic
  11. Content-Based Retrieval41 topic
  12. Generative Adversarial Networks41 topic
  13. Image Synthesis41 topic
  14. Video Summarization41 topic
  15. Character Animation31 topic
  16. Domain Adaptation31 topic
  17. Face Recognition31 topic
  18. Facial Landmark Detection31 topic
  19. Image Captioning31 topic
  20. Motion Synthesis31 topic
  21. Transfer Learning31 topic
  22. Visual Question Answering31 topic

Where does David J. Fleet work?

David J. Fleet's main affiliation in the publication record is University of Toronto, Canada.

How many publications and citations does David J. Fleet have?

Science Explorer counts 53 works and 805 citations for David J. Fleet, ranking #23,408 of 1,633,909 researchers worldwide on the composite score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.