Books / Book Chapters

• Motion Models for People Tracking (draft)
  Fleet, D.J.
  in Guide to Visual Analysis of Humans: Looking at People.
  T. Moeslund, A. Hilton, V. Krueger, L. Sigal (eds.), Springer, pp. 171-198, 2011.
  
  
• Video-Based People Tracking (pdf)
  Brubaker, M.A., Sigal, L. and Fleet, D.J.,
  in Handbook of Ambient Intelligence and Smart Environments.
  H. Nakashima, H. Aghajan, J.C. Augusto (eds.), Springer, pp. 57-88, 2009.
  
  
• Optical flow estimation (pdf)
  Fleet, D.J. and Weiss, Y.,
  in Mathematical models for Computer Vision: The Handbook.
  N. Paragios, Y. Chen, and O. Faugeras (eds.), Springer, pp. 239-257, 2005.
  
  
• Bayesian inference of visual motion boundaries (pdf)
  Fleet, D.J., Black, M.J. and Nestares O.,
  in Exploring Artificial Intelligence in the New Millennium,
  G. Lakemeyer and B. Nebel (eds.), Morgan Kaufmann Press, pp. 139-173, 2002.
  
  
• Velocity likelihoods in biological and machine vision (pdf)
  Weiss, Y. and Fleet, D.J.,
  in Probabilistic Models of the Brain: Perception and Neural Function ,
  R.P.N. Rao, B.A. Olshausen and M.S. Lewicki (eds.), MIT Press, pp. 81-100, 2001.
  
  
• Modeling binocular neurons in primary visual cortex (pdf)
  Fleet, D.J., Heeger, D.J. and Wagner, H.,
  in Computational and Biological Mechanisms of Visual Coding,
  M. Jenkin and L. Harris (eds.), Cambridge University Press, pp. 103-130, 1996.
  
  
• Measurement of Image Velocity.
  Fleet, D.J.,
  Kluwer Academic Press, Norwell, MA, 1992.

• 3D Variability Analysis: Directly resolving continuous flexibility and discreteheterogeneity from single particle cryo-EM images (pdf)
  Punjani, A. and Fleet, DJ.
  Journal of Structural Bioilogy, 213 (2021) 107702
  
  
• cryoSPARC: Algorithms for rapid unsupervised cryo-EM structure determination (preprint) (supplementary note 1) (supplementary note 2) (paper)
  Punjani, A., Rubinstein, J., Fleet, D.J. and Brubaker, M.
  Nature Methods 14 (3): 290-296, 2017.
  
  
• Building proteins in a day: Efficient 3D molecular structure estimation with electron cryomicroscopy (pdf) © IEEE
  Punjani, A., Brubaker, M., and Fleet, D.J.
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(4):706-718, 2017.
  
  
• Efficient optimization for sparse Gaussian process regression (pdf) © IEEE (code)
  Cao, Y., Brubaker, M., Fleet, D.J. and Hertzmann, A.
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(12):2415-2427, 2015.
  
  
• Spinal cord segmentation by one dimensional normalized template matching: A novel, quantitative technique to analyze advanced magnetic resonance imaging data (pdf)
  Cadotte, A., Cadotte, D.W., Livne, M., Cohen-Adad, J., Fleet, D.J., Mikulis, D. and Fehlings, M.G.
  PLoS ONE, 10(10): e0139323. doi: 10.1371/journal.pone.0139323, 2015.
  
  
• Fast exact search in Hamming space with multi-index hashing (pdf) © IEEE
  Norouzi, M., Punjani, A. and Fleet, D.J.
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 36 (6): 1107-1119, 2014.
  
  
• Characterizing the location of spinal and vertebral levels in the human cervical spinal cord (pdf)
  Cadotte, D.W. Cadotte, A., Cohen-Adad, J., Fleet, D.J., Livne, M., Wilson, J.R., Mikulis, D., Nugaeva, N. and Fehlings, M.G.
  American Journal of Neuroradiology, December, 2014, A4192.
  
  
• Shared kernel information embedding for discriminative inference (pdf) © IEEE
  Memisevic, R., Sigal, L. and Fleet, D.J.
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(4):778-790, 2012.
  
  
• Human attributes from 3D pose tracking (pdf)
  Livne, M., Sigal, L., Troje, N., and Fleet, D.J.
  Computer Vision and Image Understanding 116:648-660, 2012.
  
  
• Shape categorization using bone graphs (pdf)
  Macrini, D., Dickinson, S., Fleet, D.J. and Siddiqi, K.
  Computer Vision and Image Understanding, 115(8):1187--1206, 2011.
  
  
• Bone Graphs: Medial shape parsing and abstraction (pdf)
  Macrini, D., Dickinson, S., Fleet, D.J. and Siddiqi, K.
  Computer Vision and Image Understanding, 115(7):1044--1061, 2011.
  
  
• Model-based 3D hand pose estimation from monocular video (pdf) (video)
  de La Gorce, M., Fleet, D.J. and Paragios, N.
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(9):1793-1805, 2011.
  
  
• Optimizing walking controllers with uncertain user inputs and environments (pdf) (videos)
  Wang, J., Fleet, D.J. and Hertzmann, A.
  ACM Transactions on Graphics (Proc. SIGGRAPH), 29(4), Article 73, 2010.
  
  
• Physics-based person tracking using the Anthropomorphic Walker (abstract) (pdf)
  Brubaker, M.A., Fleet, D.J. and Hertzmann, A.
  International Journal of Computer Vision 87(1):140--155, 2010. [Demo code for simulation]
  
  
• Optimizing walking controllers (pdf) (videos)
  Wang, J., Fleet, D.J. and Hertzmann, A.
  ACM Transactions on Graphics (Proc. SIGGRAPH Asia), 28(5), Article 168, 2009.
  
  
• TurboPixels: Fast superpixels using geometric flows (abstract) (pdf) © IEEE
  Levinshtein, A., Stere, A., Kutulakos, K., Fleet, D.J., Dickinson, S. and Sidiqqi, K.
  IEEE Transactions on Pattern Analysis and Machine Intelligence 31(12):2290--2297, 2009.
  
  
• Gaussian process dynamical models (abstract) (pdf) (errata) © IEEE
  Wang, J., Fleet, D.J. and Hertzmann, A.
  IEEE Transactions on Pattern Analysis and Machine Intelligence 30(2):283--298, 2008.
  
  
• Motion models for 3D people tracking (abstract) (pdf)
  Urtasun, R., Fleet, D.J. and Fua, P.
  Computer Vision and Image Understanding 104(2-3):157-177, 2006.
  
  
• Synaptic Vesicle Mobility and Presynaptic F-Actin Are Disrupted in an NSF Allele of Drosophila (abstract) (pdf)
  Nunes, P., Haines, N., Kuppuswamy, V., Fleet, D.J. and Stewart, B.,
  Molecular Biology of the Cell 17:4709-4719, 2006
  
  
• Robust online appearance models for visual tracking (abstract) (pdf) © IEEE
  Jepson, A.D., Fleet, D.J., El-Maraghi, T.,
  IEEE Transactions on Pattern Analysis and Machine Intelligence 25(10):1296-1311, 2003.
  
  
• Human cortical activity correlates with stereoscopic depth perception (abstract) (pdf)
  Backus, B., Fleet, D.J., Parker, A.J. and Heeger, D.J.,
  Journal of Neurophysiology 86(10):2054-2068, 2001.
  
  
• Estimating optical flow with physical models of brightness variation (abstract) (pdf) © IEEE
  Haussecker, H.W. and Fleet, D.J.,
  IEEE Transactions on Pattern Analysis and Machine Intelligence 23(6):661-673, 2001.
  
  
• Texture space (abstract) (pdf)
  Gurnsey, R., and Fleet, D.J.,
  Vision Research 41(3):745-757, 2001.
  
  
• Probabilistic detection and tracking of motion boundaries (abstract) (pdf)
  Black, M.J. and Fleet, D.J.,
  International Journal of Computer Vision 38(3):231-245, 2000.
  
  
• Disparity tuning as simulated by a neural net (abstract) (pdf)
  Lippert, J, Fleet, D.J., and Wagner, H.,
  Biological Cybernetics 83(1):61-72, 2000.
  
  
• Design and use of linear models for image motion analysis (abstract) (pdf)
  Fleet, D.J., Black, M.J., Yacoob, Y., and Jepson, A.D.,
  International Journal of Computer Vision 36(3):171-193, 2000.
  
  
• Robustly estimating changes in image appearance (abstract) (pdf)
  Black, M.J., Fleet, D.J., and Yacoob, Y.,
  Computer Vision and Image Understanding 78(1):8-31, 2000.
  
  
• Stereopsis from contrast envelopes (abstract) (pdf)
  Langley, K., Fleet, D.J., and Hibbard, P.,
  Vision Research 39(14): 2313-2324, 1999.
  
  
• Linear and nonlinear transparency in binocular vision (abstract) (pdf)
  Langley, K., Fleet, D.J., and Hibbard, P.,
  Proceedings of the Royal Society (London) B, 265: 1837-1845, 1998.
  
  
• Second-order motions contribute to vection (abstract) (pdf)
  Gurnsey, R., Fleet, D.J. and Potechin, C.,
  Vision Research, 38(18) 2801-2816, 1998.
  
  
• Neural encoding of binocular disparity: Energy model, position shifts and phase shifts (abstract) (pdf)
  Fleet, D.J., Wagner, H. and Heeger, D.J.,
  Vision Research, 36(12) 1839-1857, 1996.
  
  
• Linear filtering precedes nonlinear processing in early vision (abstract) (pdf)
  Langley, K., Fleet, D.J., and Hibbard, P.,
  Current Biology, 6(7) 891-896, 1996
  
  
• Recursive filters for optical flow (abstract) (pdf) © IEEE
  Fleet, D.J. and Langley, K.,
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(1):61-67, 1995.
  
  
• Computational analysis of non-Fourier motion (abstract) (pdf)
  Fleet, D.J. and Langley, K.,
  Vision Research, 34(22):3057-3079, 1994.
  
  
• Performance of optical flow techniques (abstract) (pdf)
  Barron, J.L., Fleet, D.J., and Beauchemin, S.,
  International Journal of Computer Vision, 12(1):43-77, 1994.
  
  
• Stability of phase information (abstract) (pdf) © IEEE
  Fleet, D.J. and Jepson, A.D.,
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(12):1253-1268, 1993.
  
  
• Phase singularities in scale-space (abstract) (pdf)
  Jepson, A.D. and Fleet, D.J.,
  Image and Vision Computing Journal, 9(5): 338-343, 1991.
  
  
• Phase-based disparity measurement (abstract) (pdf)
  Fleet, D.J., Jepson, A.D., and Jenkin, M.,
  CVGIP: Image Understanding, 53(2): 198-210, 1991.
  
  
• Computation of component image velocity from local phase information (abstract) (pdf)
  Fleet, D.J. and Jepson, A.D.,
  International Journal of Computer Vision, 5(1): 77-104, 1990.
  
  
• Hierarchical construction of orientation and velocity selective filters
  Fleet, D.J. and Jepson, A.D.,
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(3): 315-325, 1989.
  
  
• Spatiotemporal inseparability in early vision: centre-surround models and velocity selectivity
  Fleet, D.J., and Jepson, A.D.,
  Computational Intelligence, 1(3): 89-102, 1985.
  
  
• Spatiotemporal inseparability in early visual processing
  Fleet, D.J., Hallett, P.E., and Jepson, A.D.,
  Biological Cybernetics, 52(2): 153-164, 1985.

• Walking on thin air: Environment-free physics-based markerless motion capture (pdf)
  Livne, M., Sigal, L., Brubaker, M., and Fleet, D.J.
  Computer and Robot Vision, June, Toronto, 2018.
  
  
• VSE++: Improved visual-semantic embeddings with hard negatives (pdf)
  Faghri, F., Fleet, D.J., Kiros, J.R., and Fidler, D.
  British Machine Vision Conference, September, Newcastle on Tyne, 2018.
  
  
• Subspace selection to suppress confounding source domain information in AAM transfer learning (pdf)
  Asgarian, A., Ashraf, AB., Fleet, D.J. and Taati, B.
  International Joint Conference on Biometrics, August, Denver, 2017.
  
  
• Adversarial manipulation of deep representations (pdf) (pdf on arxiv)
  Sabour, S., Cao, Y., Faghri, F. and Fleet, D.J.
  International Conference on Learning Representations (ICLR), Puerto Rico, 2016.
  
  
• Efficient non-greedy optimization of decision trees (pdf on arxiv)
  Norouzi, M., Collins, M.D., Johnson, M., Fleet, D.J. and Kohli, P.
  Advances in Neural Information Processing Systems (NIPS), Montreal, 2015.
  
  
• Transductive log opinion pool of Gaussian process experts (pdf on arxiv)
  Cao, Y. and Fleet, D.J.
  NIPS Workshop on Nonparametric Methods for Large Scale Representation Learning Montreal, 2015.
  
  
• Building Proteins in a Day: Efficient 3D Molecular Reconstruction (pdf) © IEEE (arXiv)
  Brubaker, M.A., Punjani, A. and Fleet, D.J.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, 2015.
  
  
• Efficient 3D macromolecular reconstruction with electron cryo-microscopy (extended abstract)
  Brubaker, M.A., Punjani, A. and Fleet, D.J.
  BioImage Computing Workshop (BIC), Boston, 2015. (Best Poster Award)
  
  
• Posebits for monocular human pose estimation (pdf)
  Pons-Moll, G., Fleet, D.J. and Rosenhahn, B.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, 2014.
  
  
• Efficient optimization for sparse Gaussian process regression (pdf) (code)
  Cao, Y., Brubaker, M., Fleet, D.J. and Hertzmann, A.
  Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, 2013.
  
  
• Generalized product of experts for automatic and principled fusion of Gaussian process predictions (pdf)
  Cao, Y. and Fleet, D.J.
  Modern Nonparametrics 3: Automating the Learning Pipeline, NIPS Workshop, Montreal, 2014.
  
  
• Cartesian k-means (pdf)
  Norouzi, M. and Fleet, D.J.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, 2013.
  
  
• Hamming distance metric learning (pdf)
  Norouzi, M., Fleet, D.J. and Salakhudinov, R.
  Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, 2012.
  
  
• Fast search in Hamming space with multi-index hashing (pdf) © IEEE
  Norouzi, M., Punjani, A. and Fleet, D.J.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, 2012.
  
  
• Minimal loss hashing for compact binary codes (pdf) (code)
  Norouzi, M. and Fleet, D.J.
  International Conference on Machine Learning (ICML), Bellevue, 2011.
  
  
• Simultaneous tracking and activity recognition (pdf)
  Manfredotti, C., Fleet, D.J., Hamilton, H.J. and Zilles, S.
  International Conference on Tools with Artificial Intelligence (ICTAI), Boca Raton, 2011.
  
  
• Human attributes from 3D pose tracking (pdf)
  Sigal, L., Fleet, D.J., Troje, N. and Livne, M.
  European Conference on Computer Vision (ECCV), Heraklion, Greece, 2010.
  
  
• Dynamical binary latent variable models for 3D human pose tracking (pdf) © IEEE
  Taylor, G.W., Sigal, L., Fleet, D.J. and Hinton, G.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, 2010.
  
  
• Estimating contact dynamics (pdf) © IEEE
  Brubaker, M.A., Sigal, L. and Fleet, D.J.
  IEEE International Conference on Computer Vision (ICCV), Kyoto, 2009.
  
  
• Relations to improve multi-target tracking in an activity recognition system (pdf)
  Manfredotti, C., Messina, E. and Fleet, D.J.
  International Conference on Imaging for Crime Detection and Prevention, London, 2009.
  
  
• Stochastic image denoising (pdf)
  Estrada, F., Fleet, D.J. and Jepson, A.D.
  British Machine Vision Conference (BMVC), London, 2009
  [* Best Paper Award *]
  
  
• Backing Off: Hierarchical decomposition of activity for 3D novel pose recovery (pdf)
  Darby, J., Li, B., Costens, N., Fleet, D.J. and Lawrence, N.,
  British Machine Vision Conference (BMVC), London, 2009.
  
  
• Shared kernel information embedding for discriminative inference (pdf) © IEEE
  Sigal, L., Memisevic, R. and Fleet, D.J.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, 2009.
  
  
• Topologically constrained latent variable models (pdf)
  Urtasun, R., Fleet, D.J., Geiger, A., Popovic, J., Darrell, T. and Lawrence, N.
  International Conference on Machine Learning (ICML), Helsinki, pp. 96-103, 2008.
  
  
• Model-based hand tracking with texture, shading and self-occlusions (pdf) © IEEE
  De la Gorce, M., Paragos, N. and Fleet, D.J.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, 2008.
  
  
• The Kneed Walker for human pose tracking (pdf) © IEEE
  Brubaker, M.A. and Fleet, D.J.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, 2008.
  
  
• Modeling human locomotion with topologically constrained latent variable models
  Urtasun, R., Fleet, D.J., and Lawrence, N.
  Workshop on Human Motion: Understanding, Modeling, Capture and Animation, Rio de Janeiro, pp. 104-118, 2007.
  
  
• Higher-order autoregressive models for dynamic textures (pdf)
  Hyndman, M., Jepson, A.D. and Fleet, D.J.
  British Machine Vision Conference (BMVC), Warwick, 2007.
  
  
• Physics-based person tracking using simplified lower-body dynamics (pdf) © IEEE
  Brubaker, M.A., Fleet, D.J., and Hertzmann, A.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, pp. 1-8, 2007.
  
  
• Multifactor Gaussian Process models for style-content separation (pdf)
  Wang, J., Fleet, D.J., and Hertzmann, A.
  International Conference on Machine Learning (ICML), Oregon, pp. 975-982, 2007.
  
  
• 3D people tracking with Gaussian process dynamical models (pdf) © IEEE
  Urtasun, R., Fleet, D.J., and Fua, P.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York, Vol. II, pp. 238-245, 2006.
  
  
• Gaussian Process dynamical models (pdf)
  Wang, J., Fleet, D.J., and Hertzmann, A.
  Advances in Neural Information Processing Systems (NIPS), Vancouver, pp. 1441-1448, 2005.
  
  
• Priors for people tracking from small training sets (pdf) © IEEE
  Urtasun, R., Fleet, D.J., Hertzmann, A. and Fua, P.
  IEEE International Conference on Computer Vision (ICCV), Beijing, Vol.I, pp. 403-410, 2005.
  
  
• Monocular 3D tracking of the golf swing (pdf) © IEEE
  Urtasun, R., Fleet, D.J. and Fua, P.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, Vol. II, pp. 932-938, 2005.
  
  
• Learning sensor network topology through Monte Carlo expectation maximization (pdf) © IEEE
  Marinak, D., Dudek, G. and Fleet, D.J.
  IEEE Intenational Conference on Robotics and Automation (ICRA), Barcelona, 2005.
  
  
• Perceptually-supported image editing of text and graphics (pdf)
  Saund, E., Fleet, D.J., Larner, D., and Mahoney, J.V.
  ACM Symposium on User Interface Software and Technology (UIST '03), Vancouver, 2003. (also see ACM CHI Letters 5(2):183-192 )
  [* Best Paper Award *]
  
  
• Error-in-variables likelihood functions for motion estimation (pdf) © IEEE
  Nestares, O. and Fleet, D.J.
  IEEE Intenational Conference on Image Processing (ICIP), Barcelona, vol. III, pp. 77-80, 2003.
  
  
• Hybrid Monte Carlo filtering: Edge-based people tracking (pdf) © IEEE
  Poon, E. and Fleet, D.J.
  IEEE Workshop on Motion and Video Computing, Orlando, pp. 151-158, 2002.
  
  
• A layered motion representation with occlusion and compact spatial support (pdf)
  Jepson, A.D., Fleet, D.J. and Black, M.J. (2002)
  European Conference on Computer Vision (ECCV), Copenhagen, Vol. I, pp. 692-706, 2002.
  
  
• A probabilistic theory of occupancy and emptiness (pdf)
  Bhotika, R., Fleet, D.J., and Kutulakos, K.
  European Conference on Computer Vision (ECCV), Copenhagen, Vol. III, pp. 112-130, 2002.
  
  
• Perceptual organization as a foundation for intelligent sketch editing (pdf)
  Saund, E., Mahoney, J., Fleet, D.J., Larner, D. and Lank, E. (2002)
  AAAI Spring Symp. on Sketch Understanding, Stanford University, 2002
  
  
• Robust, on-line appearance models for vision tracking (pdf) © IEEE
  Jepson, A.D., Fleet, D.J. and El-Maraghi, T.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Kauai, Vol. I, pp. 415-422, 2001.
  [* Best Paper Runner-up *]
  
  
• Detection and tracking of motion boundaries (pdf) © IEEE
  Nestares, O. and Fleet, D.J.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Kauai, Vol. II. pp. 358-365, 2001.
  
  
• Perceptual organization as a foundation for graphics recognition
  Saund, E., Mahoney, J., Larner, D., and Fleet, D.J.
  IAPR International Workshop on Graphics Recognition, Kingston, Canada, 2001.
  
  
• Lattice particle filters (pdf)
  Ormoneit, D., Lemieux, C., and Fleet, D.J.
  Conference on Uncertainty in Artifical Intelligence (UAI), August 2001, Morgan Kaufmann Press, pp. 395-402, 2001.
  
  
• People tracking using hybrid Monte Carlo filtering (pdf) © IEEE
  Choo, K. and Fleet, D.J.
  IEEE International Conference on Computer Vision (ICCV), Vancouver, Vol II, pp. 321-328, 2001
  
  
• Stochastic tracking of 3D human figures using 2d image motion (pdf)
  Sidenbladh, H., Black, M.J., and Fleet, D.J.
  European Conference on Computer Vision (ECCV), Dublin, Vol. II, pp. 702-718, 2000
  [* Koenderink Prize Paper *]
  
  
• Computing optical flow with physical models of brightness variation (pdf) © IEEE
  Haussecker, H. and Fleet, D.J.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hilton Head, South Carolina, Vol. II, pp. 760-767, 2000.
  
  
• Likelihood functions and confidence bounds for total-least-squares problems (pdf) © IEEE
  Nestares, O., Fleet, D.J., and Heeger, D.J.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hilton Head, South Carolina, Vol. I, pp. 523-530, 2000.
  
  
• Learning and tracking human motion using functional analysis (pdf) © IEEE
  Ormoneit, D., Sidenbladh, H., Black, M.J., Hastie, T., and Fleet, D.J.
  IEEE Workshop on Human Modeling, Analysis and Synthesis, Hilton Head, South Carolina, 2000.
  
  
• A robust method for surface-based registration
  Ma, B., Ellis, R.E. and Fleet, D.J.
  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Cambridge, UK, September, Spring Verlag, pp. 936-944, 1999.
  
  
• Probabilistic detection and tracking of motion discontinuities (pdf) © IEEE
  Black, M.J. and Fleet, D.J.
  IEEE International Conference on Computer Vision (ICCV), Corfu, Greece, September, pp. 551-558, 1999.
  [* Marr Prize Honorable Mention (runner up for best paper) *]
  
  
• Motion feature detection using steerable flow fields (pdf) © IEEE
  Fleet, D.J., Black, M.J. and Jepson, A.D.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Santa Barbara, June, pp. 274-281, 1998.
  
  
• A framework for modeling appearance change in image sequences (pdf) © IEEE
  Black, M.J., Fleet, D.J., and Yacoob, Y.
  IEEE International Conference on Computer Vision (ICCV), Mumbai, India, January, pp. 660-667, 1998.
  
  
• Embedding invisible information in color images. (colour pdf) (b&w pdf) © IEEE
  Fleet, D.J. and Heeger, D.J.
  IEEE International Conference on Image Processing (ICIP), Santa Barbara, October, Vol. I, pp. 532-535, 1997.
  
  
• Learning parameterized models of image motion (pdf) © IEEE
  Black, M.J., Yacoob, Y., Jepson, A.D., and Fleet, D.J.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Puerto Rico, June, pp. 561-567, 1997.
  
  
• Modelling appearance change in image sequences
  Black, M.J., Yacoob, Y., and Fleet, D.J.
  International Workshop on Visual Form, Capri, Italy, May. World Scientific Pub., C. Arcelli, L.P. Cordella, and G.S. di Baja, Eds., pp. 11-20, 1997.
  
  
• A method for evaluating CT-based surgical registration
  Ellis, R., Fleet, D., Bryant, T., Rudan, J., and Fenton, P.
  International Conference on Medical Robotics and Computer Assisted Surgery, Grenoble, March, pp. 141-150, 1997.
  
  
• Centre-frequency adaptive IIR temporal filters for phase-based image velocity estimation (pdf)
  Clifford, C., Langley, K. and Fleet, D.J.
  IEE International Conference on Image Processing and Applications, Edinburgh, July, pp. 173-178, 1995.
  
  
• Stable estimation of image orientation (pdf) © IEEE
  Haglund, L. and Fleet, D.J.
  IEEE International Conference on Image Processing (ICIP), Austin, November Vol. III, pp. 68-72, 1994
  
  
• Disparity from local weighted phase-correlation (pdf) © IEEE
  Fleet, D.J.
  IEEE International Conf. on SMC, San Antonio, October, pp. 48-56, 1994.
  
  
• Toward real-time optical flow
  Fleet, D.J. and Langley, K.
  Vision Interface,, Toronto, May, pp. 116-124, 1993.
  
  
• Recursive filters for phase-based optical flow
  Langley, K. and Fleet, D.J.
  Isreali Conference on Vision and AI, Ramat Gan, Isreal, December, pp. 255-264, 1992.
  
  
• Multiple binaural time delay estimation
  Langley, K. and Fleet, D.J.
  ESCA Workshop on Speech Processing in Adverse Conditions, Cannes, November, pp. 159-162 (ISSN 1018-4554), 1992.
  
  
• On transparent motion computation
  Langley, K., Fleet, D.J., and Atherton, T.J.
  British Machine Vision Conference (BMVC), Leeds, Springer-Verlag, pp. 245-255, 1992.
  
  
• Performance of optical flow techniques
  Barron, J.L., Fleet, D.J., Beauchemin, S., and Burkitt, T.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Champaign, June, pp. 236-242, 1992.
  
  
• Multiple motions from instantaneous frequency
  Langley, K., Fleet, D.J., and Atherton, T.J.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Champaign, June, pp. 846-849, 1992.
  
  
• Stability of phase information
  Fleet, D.J. and Jepson, A.D.
  IEEE Workshop on Visual Motion, Princeton, October 1991, pp. 52-60, 1991.
  
  
• Scale-space singularities
  Jepson, A.D., and Fleet, D.J.
  European Conference on Computer Vision (ECCV), Antibes, April, Springer-Verlag, pp. 50-55, 1990.
  
  
• Computation of normal velocity from local phase information
  Fleet, D.J. and Jepson, A.D.
  IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), San Diego, pp. 379-386, 1989.
  
  
• Computation of normal velocity from local phase information.
  Fleet, D.J. and Jepson, A.D.
  Optical Society of America Meeting on Image Understanding and Machine Vision, Cape Cod, pp. 58-61, 1989.