David J Fleet
David J Fleet
Google Brain; University of Toronto; Universiity of Toronto Scarborough; Vector Institute
Dirección de correo verificada de cs.toronto.edu - Página principal
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Performance of optical flow techniques
JL Barron, DJ Fleet, SS Beauchemin
International Journal of Computer Vision 12 (1), 43-77, 1994
73661994
cryoSPARC: Algorithms for rapid unsupervised cryo-EM structure determination
A Punjani, JL Rubinstein, DJ Fleet, MA Brubaker
Nature Methods 14 (3), 290-296, 2017
20502017
Computation of component image velocity from local phase information
DJ Fleet, AD Jepson
International Journal of Computer Vision 5 (1), 77-104, 1990
15611990
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
14982003
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
13212009
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
10162000
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
9632008
Minimal loss hashing for compact binary codes
M Norouzi, DJ Fleet
International Conference on Machine Learning (ICML)., 2011
8312011
Hamming distance metric learning
M Norouzi, DJ Fleet, R Salakhutdinov
Advances in Neural Information Processing Systems (NIPS), 1070-1078, 2012
6322012
Optical flow estimation
DJ Fleet, Y Weiss
Handbook of Mathematical Models in Computer Vision, 237-257, 2006
6232006
VSE++: Improved visual-semantic embeddings with hard negatives
F Faghri, DJ Fleet, JR Kiros, S Fidler
British Machine Vision Conference, 2018
606*2018
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
5722006
Gaussian process dynamical models
J Wang, DJ Fleet, A Hertzmann
Advances in Neural Information Processing Systems (NIPS) 18, 1441, 2006
553*2006
Phase-based disparity measurement
DJ Fleet, AD Jepson, MRM Jenkin
CVGIP: Image Understanding 53 (2), 198-210, 1991
4541991
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
4131996
Measurement of Image Velocity
DJ Fleet
Kluwer Academic Publishers, 1992
383*1992
Stability of phase information
DJ Fleet, AD Jepson
IEEE Transactions on Pattern Analysis and Machine Intelligence 15 (12), 1253 …, 1993
3521993
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
3372005
Cartesian k-means
M Norouzi, DJ Fleet
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
3332013
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
3212001
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