2026 David J. Fleet: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	83	879	848	30	25	207	56625

Research.com Recognitions

2025 - Research.com Computer Science in Canada Leader Award
2023 - Research.com Computer Science in Canada Leader Award
2022 - Research.com Computer Science in Canada Leader Award

Overview

David J. Fleet is affiliated with the University of Toronto in Canada. Their research primarily spans the field of Computer Science, with a notable focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and Structural Biology.

The scientist's work covers various specialized topics including:

Advanced Electron Microscopy Techniques and Applications
Generative Adversarial Networks and Image Synthesis
Advanced Image Processing Techniques
Advanced Vision and Imaging
Advanced Neural Network Applications
Electron and X-Ray Spectroscopy Techniques
Multimodal Machine Learning Applications

Frequent publication venues for David J. Fleet include:

arXiv (Cornell University)
Nature Methods
Journal of Structural Biology
Acta Crystallographica Section A Foundations and Advances
bioRxiv (Cold Spring Harbor Laboratory)

The scientist has co-authored multiple papers with colleagues such as Mohammad Norouzi, Ali Punjani, Saurabh Saxena, Chitwan Saharia, and Shekoofeh Azizi, reflecting ongoing collaborative research efforts across these domains.

Recent influential papers by David J. Fleet include:

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding, 2022, arXiv (Cornell University)
Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction, 2020, Nature Methods
Image Super-Resolution Via Iterative Refinement, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
3D variability analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM, 2021, Journal of Structural Biology
Cascaded Diffusion Models for High Fidelity Image Generation, 2021, arXiv (Cornell University)

Best Publications

cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination

Ali Punjani;John L Rubinstein;David J Fleet;Marcus A Brubaker

10036
Citations
Performance of optical flow techniques

J. L. Barron;D. J. Fleet;S. S. Beauchemin

7737
Citations
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Unknown

4565
Citations
Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction.

Ali Punjani;Haowei Zhang;David J. Fleet

1729
Citations
Computation of component image velocity from local phase information

David J. Fleet;A. D. Jepson

1715
Citations
Robust online appearance models for visual tracking

A.D. Jepson;D.J. Fleet;T.F. El-Maraghi

1545
Citations
Image Super-Resolution via Iterative Refinement

Chitwan Saharia;Jonathan Ho;William Chan;Tim Salimans

1496
Citations
TurboPixels: Fast Superpixels Using Geometric Flows

A. Levinshtein;A. Stere;K.N. Kutulakos;D.J. Fleet

1485
Citations
Palette: Image-to-Image Diffusion Models

Chitwan Saharia;William Chan;Huiwen Chang;Chris A. Lee

1360
Citations
Gaussian Process Dynamical Models for Human Motion

J.M. Wang;D.J. Fleet;A. Hertzmann

1171
Citations
Stochastic Tracking of 3D Human Figures Using 2D Image Motion

Hedvig Sidenbladh;Michael J. Black;David J. Fleet

1050
Citations
Performance of optical flow techniques

J.L. Barron;D.J. Fleet;S.S. Beauchemin;T.A. Burkitt

1049
Citations
3D Variability Analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM.

Ali Punjani;David J. Fleet

1001
Citations
Imagen Video: High Definition Video Generation with Diffusion Models

Unknown

885
Citations
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives.

Fartash Faghri;David J. Fleet;Jamie Ryan Kiros;Sanja Fidler

871
Citations
Optical Flow Estimation

David J. Fleet;Yair Weiss

699
Citations
Hamming Distance Metric Learning

Mohammad Norouzi;David Fleet;Ruslan R Salakhutdinov

683
Citations
3D People Tracking with Gaussian Process Dynamical Models

R. Urtasun;D.J. Fleet;P. Fua

592
Citations
Phase-based disparity measurement

David J. Fleet;Allan D. Jepson;Michael R. M. Jenkin

471
Citations
Cascaded Diffusion Models for High Fidelity Image Generation

Jonathan Ho;Chitwan Saharia;William Chan;David James Fleet

451
Citations
Neural encoding of binocular disparity: energy models, position shifts and phase shifts.

David J. Fleet;Hermann Wagner;David J. Heeger

437
Citations
Cartesian K-Means

Mohammad Norouzi;David J. Fleet

378
Citations
Measurement of Image Velocity

David J. Fleet

377
Citations

Frequent Co-Authors

Allan D. Jepson University of Toronto

Michael J. Black Max Planck Institute for Intelligent Systems

Aaron Hertzmann Adobe Systems (United States)

Mohammad Norouzi Google (United States)

Leonid Sigal University of British Columbia

Keith Langley University College London

Eric Saund IEEE-USA

Roland Memisevic University of Montreal

David J. Heeger New York University

Raquel Urtasun University of Toronto

External Links

Personal website of David J. Fleet Google Scholar page

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