David J Fleet

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Allan D. JepsonSamsung AIC Toronto; University of TorontoVerified email at cs.toronto.edu
Marcus A BrubakerAssistant Professor, York University; Faculty Affiliate, Vector InstituteVerified email at eecs.yorku.ca
Mohammad NorouziStaff Scientist, Google BrainVerified email at google.com
Aaron HertzmannAdobeVerified email at adobe.com
Ali PunjaniPhD Candidate, University of Toronto, Vector InstituteVerified email at cs.toronto.edu
John BarronProfessor of Computer Science, University of Western OntarioVerified email at csd.uwo.ca
Michael J. BlackMax Planck Institute for Intelligent Systems and AmazonVerified email at tuebingen.mpg.de
Jack M. WangVerified email at dgp.toronto.edu
David J HeegerProfessor of Psychology and Neural Science, New York UniversityVerified email at nyu.edu
Raquel UrtasunProfessor, University of Toronto. Chief Scientist, Uber ATGVerified email at cs.toronto.edu
Leonid SigalAssociate Professor, University of British ColumbiaVerified email at cs.ubc.ca
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
John L. RubinsteinSenior Scientist, The Hospital for Sick Children.Verified email at utoronto.ca
Fartash FaghriUniversity of Toronto, Vector InstituteVerified email at cs.toronto.edu
Sven DickinsonProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Kaleem SiddiqiProfessor of Computer Science, McGill UniversityVerified email at cim.mcgill.ca
Yair WeissProfessor of Computer Science, Hebrew UniversityVerified email at mail.huji.ac.il
Micha LivnePost-Doc, University of Toronto, and Vector Institute.Verified email at cs.toronto.edu
Yanshuai CaoSenior Research Lead @ Borealis AI (RBC Institute for Research); University of TorontoVerified email at cs.toronto.edu
Kyros KutulakosProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu

David J Fleet

Google Brain; University of Toronto; Universiity of Toronto Scarborough; Vector Institute

Verified email at cs.toronto.edu - Homepage

Computer Vision Image Processing Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Performance of optical flow techniques JL Barron, DJ Fleet, SS Beauchemin International Journal of Computer Vision 12 (1), 43-77, 1994	7261	1994
cryoSPARC: Algorithms for rapid unsupervised cryo-EM structure determination A Punjani, JL Rubinstein, DJ Fleet, MA Brubaker Nature Methods 14 (3), 290-296, 2017	1607	2017
Computation of component image velocity from local phase information DJ Fleet, AD Jepson International Journal of Computer Vision 5 (1), 77-104, 1990	1534	1990
Robust online appearance models for visual tracking AD Jepson, DJ Fleet, TF El-Maraghi IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (10), 1296 …, 2003	1487	2003
Turbopixels: Fast superpixels using geometric flows A Levinshtein, A Stere, KN Kutulakos, DJ Fleet, SJ Dickinson, K Siddiqi IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (12), 2290 …, 2009	1285	2009
Stochastic tracking of 3D human figures using 2D image motion H Sidenbladh, M Black, DJ Fleet European Conference on Computer Vision (ECCV), 702-718, 2000	1005	2000
Gaussian process dynamical models for human motion JM Wang, DJ Fleet, A Hertzmann IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (2), 283-298, 2008	922	2008
Minimal loss hashing for compact binary codes M Norouzi, DJ Fleet International Conference on Machine Learning (ICML)., 2011	808	2011
Optical flow estimation DJ Fleet, Y Weiss Handbook of Mathematical Models in Computer Vision, 237-257, 2006	600	2006
Hamming distance metric learning M Norouzi, DJ Fleet, R Salakhutdinov Advances in Neural Information Processing Systems (NIPS), 1070-1078, 2012	581	2012
3D people tracking with Gaussian process dynamical models R Urtasun, DJ Fleet, P Fua IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1, 238-245, 2006	563	2006
Gaussian process dynamical models J Wang, DJ Fleet, A Hertzmann Advances in Neural Information Processing Systems (NIPS) 18, 1441, 2006	534	2006
VSE++: Improved visual-semantic embeddings with hard negatives F Faghri, DJ Fleet, JR Kiros, S Fidler British Machine Vision Conference, 2018	481*	2018
Phase-based disparity measurement DJ Fleet, AD Jepson, MRM Jenkin CVGIP: Image Understanding 53 (2), 198-210, 1991	452	1991
Neural encoding of binocular disparity: Energy models, position shifts and phase shifts DJ Fleet, H Wagner, DJ Heeger Vision Research 36 (12), 1839-1857, 1996	408	1996
Measurement of Image Velocity DJ Fleet Kluwer Academic Publishers, 1992	380*	1992
Stability of phase information DJ Fleet, AD Jepson IEEE Transactions on Pattern Analysis and Machine Intelligence 15 (12), 1253 …, 1993	347	1993
Priors for people tracking from small training sets R Urtasun, DJ Fleet, A Hertzmann, P Fua IEEE International Conference on Computer Vision (ICCV) 1, 403-410, 2005	336	2005
Cartesian k-means M Norouzi, DJ Fleet IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013	319	2013
Computing optical flow with physical models of brightness variation HW Haussecker, DJ Fleet IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (6), 661-673, 2001	316	2001

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