Question 1

What does David J. Fleet research?

Accepted Answer

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

Question 2

Which keywords describe David J. Fleet's research?

Accepted Answer

The keywords of their largest research topics: Convolutional Networks, Deep Learning, Unsupervised Learning, Depth Estimation, Stereo Vision, Generative Adversarial Networks, Neural Networks and Action Recognition.

Question 3

Where does David J. Fleet work?

Accepted Answer

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

Question 4

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

Accepted Answer

OpenAlex counts 260 works and 44,146 citations for David J. Fleet, an h-index of 72, ranking #27,839 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is David J. Fleet's h-index high?

Accepted Answer

An h-index of 72 is at or above that of 99.7% of the 89,309 ranked researchers whose main subfield is Computer Vision and Pattern Recognition, which is in the top 0.3%.