Publications and Conference Presentations
2024 |
2023 |
2022 |
2021 |
2020 |
2019 |
2018 |
2017 |
2016 |
2015 |
2014 |
2013 |
2012 |
2011 |
2010
2009 |
2008 |
2007 |
2006 |
2005 |
2004 |
2003 |
2002 |
2001 |
2000 |
1999 |
1998 |
1997 |
1996 |
1995 |
1994 |
1993 |
1992 |
1991 |
1990 |
pre 1990
-
Greedy growing enables high-resolution pixel-based diffusion models
(pdf)
Vasconcelos, C.N., Waters, A.R.A., Walker, T., Xu, K., Yan, J., Qian, R., Luo, S., ...
Parekh, Z., Bunner, A., Fei, H., Garg, R., Guo, M., Kajic, I., Li, Y., Nandwani, H., Pont-Tuset, J., Onoe, Y., Rosston, S., Wang, S., Zhou, W., Swersky, K., Fleet, D.J., Baldridge, J.M., Wang, O.
Transactions on Machine Learning Research (to appear)
-
CryoSPIN: Improving ab-initio Cryo-EM reconstruction with semi-amortized pose inference
(website,
pdf)
Shekarforoush, S., Lindell, D.B., Brubaker, M.A., Fleet, D.J.
Neural Information Processinng Systsmes (NeurIPS)
-
SpotlessSplats: Ignoring distractors in 3D Gaussian splatting
(website ,
pdf)
Sabour, S., Goli, L., Kopanas, G., Matthews, M., Lagun, D., Guibas, L., Jacobson, A., Fleet, D.J., Tagliasacchi, A.
ArXiv:2406.20055
-
Controlling space and time with diffusion models
(website ,
pdf)
Watson, D., Saxena, S., Li, L., Tagliasacchi, A., Fleet, D.J.
ArXiv:2407.07860
-
Tx-LLM: A large language model for therapeutics
(pdf)
JMZ Chaves, J.M.Z., Wang, E., Tu, T., Vaishnav, E.D., Lee, B., Mahdavi, S.S., Semturs, C., Fleet, D.J., Natarajan, V., Azizi, S.
ArXiv:2406.06316
-
A personalized video-based hand taxonomy: Application for individuals with spinal cord injury
pdf)
Dousty, M., Fleet, D.J., Zariffa, J.
ArXiv:2403.18094
-
Directly fine-tuning diffusion models on differentiable rewards
(pdf)
Clark, K., Vicol, P., Swersky, K., and Fleet, D.J.
International Conference on Learning Representations (ICLR; preprint arXiv:2309.17400)
-
Towards generalist biomedical AI
(pdf)
Tu, T., Azizi, S., Driess, D., Schaekermann, M., Amin, M., Chang, P.-C., Carroll, A., Lau, C., Tanno, R., Ktena, I., Mustafa, B., Chowdhery, A., Liu, Y., Kornblith, S., Fleet, D.J., Mansfield, P., Prakash, S., Wong, R., Virmani, S., Semturs, C., Mahdavi, S., Green, B., Dominowska, E., Barral, J., Webster, D., Corrado, G.S., Matias, Y., Singhal, K., Florence, P., Karthikesalingam, A., Natarajan, V.
NEJM AI 1(3)
-
Deep generative priors for biomolecular 3D heterogeneous reconstruction from cryo-EM projections
(pdf)
Shi, B., Zhang, K., Fleet, D.J., McLeod, R.A., Miller, R.J.D. and Howe, J.Y.
Journal of Structural Biology, 108073
-
Zero-shot metric depth with a field-of-view conditioned diffusion model
(pdf,
website)
Saxena, S., Hur, J., Herrmann, C., Sun, D., Fleet, D.J.
arxiv preprint arxiv:2312.13252
-
The surprising effectiveness of diffusion models for optical flow and monocular depth estimation
(pdf,
website)
Saxena, S., Herrmann, C., Hur, J., Kar, A., Norouzi, M., Sun, D., Fleet, D.J.
Neural Information Processinng Systsmes (NeurIPS)
-
Synthetic data from diffusion models improves ImageNet classification
(pdf)
Azizi, S., Kornblith, S., Saharia, C., Norouzi, M., Fleet, D.J.
Transactions on Machine Learning Research (TMLR)
-
Generalist framework for panoptic segmentation of images and videos
(pdf,
website)
Chen, T., Li, L., Saxena, S., Hinton, G.E., Fleet, D.J.
International Conference on Computer Vision (ICCV)
-
3DFlex: Determining structure and motion of flexible proteins from cryo-EM
(pdf)
Punjani, A., Fleet, D.J.
Nature Methods, 20:860-870
-
Mapping the motion and structure of flexible proteins from cryo-EM data
(pdf)
Punjani, A., Fleet, D.J.
Nature Methods, 20:797-798
-
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
(pdf,
preprint)
Azizi, S., Culp, L., Freyberg, J., Mustafa, B., Baur, S., Kornblith, S., Chen, T., Tomasev, N., Mitrovic, J., Strachan, P., Mahdavi, S.S., Wulczyn, E., Babenko, B., Walker, M., Loh, A., Chen, P-H., Liu, Y., Bavishi, P., McKinney, S., Winkens, J., Roy, A., Beaver, Z., Ryan, F., Krogue, J., Etemadi, M., Telang, U., Liu, Y., Peng, L., Corrado, G., Webster, D., Fleet, DJ., Hinton, G., Houlsby, N., Karthikesalingam, A., Norouzi, M., Natarajan, V.
Nature Biomedical Engineering, 1-24
-
RobustNeRF: Ignoring Distractors with Robust Losses
(pdf,
website)
Sabour, S., Vora, S., Duckworth, D., Krasin, I., Fleet, D.J., Tagliasacchi, A.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
[* Highlight Paper *]
-
Imagen Editor and EditBench: Advancing and evaluating text-guided image inpainting
(pdf,
website)
Wang, S., Saharia, C., Montgomery, C., Pont-Tuset, J., Noy, S., Pellegrini, S., Onoe, Y., Laszlo, S., Fleet, D.J., Soricut, R., Baldridge, J., Norouzi, M., Aanderson, P., Chan, W.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
[* Highlight Paper *]
-
Scalable adaptive computation for iterative generation
(pdf)
Jabri, A., Fleet, D.J., Chen, T.
International Conference on Machine Learning (ICML)
-
Grasp analysis in the home environment as a measure of hand function after cervical spinal cord injury
(pdf)
Dousty, M., Bandini, A., Eftekhar,a P., Fleet, D.J., Zariffa J.
Neurorehabilitation and Neural Repair, 15459683231177601
-
Monocular depth estimation using diffusion models
(pdf)
Saxena, S., Kar, A., Norouzi, M. and Fleet, D.J.
arXiv preprint arXiv:2302.14816
-
Gaussian-Bernoulli RBMs without tears
(pdf)
Liao, R., Kornblith, S., Ren, M., Fleet, D.J. and Hinton, G.
arXiv preprint arXiv:2210.10318
-
Imagen Video: High definition video generation with diffusion models
(pdf,
website)
Ho, J., Chan, W., Saharia, C., Whang, J., Gao, R., Gritsenko, A., Kingma, D.P., Poole, B., Norouzi, M., Fleet, D.J. and Salimans, T.
arXiv preprint arXiv:2210.02303
-
Photorealistic text-to-Image diffusion models with deep language understanding
(pdf,
website)
Saharia, C., Chan, W., Saxenaa, S., Li, L., Whang, J., Denton, E., Ghasemipour, K., Ayan, B.K., Mahdavi, S.S., Lopes, R., Salimans, T., Ho, J., Fleet, D.J. and Norouzi, N.
Neural Information Processing Systems (NeurIPS)
[* Outstanding Paper Award *]
-
A unified sequence interface for vision tasks
(pdf,
website)
Chen, T., Saxena, S., Li, L., Lin, T-Y., Fleet, D.J., and Hinton, G.E.
Neural Information Processing Systems (NeurIPS)
-
Residual multiplicative filter networks for multiscale reconstruction
(pdf)
Shekarforoush, S., Lindell, D.B., Fleet, D.J., Brubaker, M.A.
Neural Information Processing Systems (NeurIPS)
-
Video diffusion models
(pdf,
website)
Ho, J., Salimans, T., Gritsenko, A., Chan, W., Norouzi, M. and Fleet, D.J.
Neural Information Processing Systems (NeurIPS)
-
Disentangling architecture and training for optical flow
(pdf,
website)
Sun, D., Herrmann, C., Reda, F., Rubinstein, M., Fleet, D.J. and Freeman, W.T.
European Conference onn Computer Vision (ECCV)
-
Cascaded diffusion models for high fidelity image generation
(pdf,
website)
Ho, J., Saharia, C., Chan, W., Fleet, D.J., Norouzi, M and Salimans, T.
Journal of Machine Learning Research, 23(47):1-33
-
Pix2Seq: A language modeling framework for object detection
(pdf,
website)
Chen, T., Saxena, S., Li, L., Fleet, D.J., and Hinton, G.E.
International Conference on Learning Representations (ICLR)
-
Kubric: A scalable dataset generator
(pdf,
website)
Greff, K. et al.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
Palette: Image-to-image diffusion models
(pdf,
website)
Saharia, C., Chan, W., Chang, H., Lee, C.A., Ho, J., Salimans, T., Fleet, D.J. and Norouzi M.
SIGGRAPH (also arXiv 2111.05826)
-
Image super-resolution via iterative refinement
(pdf,
website)
Saharia, C., Ho, J., Chan, W., Salimans, T., Fleet, D.J. and Norouzi, M.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4):4713-4726
-
3D Flexible Refinement: Structure and motion of flexible proteins from cryo-EM
(pdf)
Punjani, A. and Fleet, D.J.
bioRxiv
-
Unsupervised part representation by Flow Capsules
(pdf)
Sabour, S., Tagliasacchi, A., Yazdani, S., Hinton, G.E. and Fleet, D.J.
International Conference on Machine Learning (ICML)
-
3D Variability Analysis: Directly resolving continuous flexibility
and discreteheterogeneity from single particle cryo-EM images
(pdf)
Punjani, A. and Fleet, D.J.
Journal of Structural Biology, 213 (2021) 107702
[* JSB Paper of the Year Award *]
-
Bridging the gap between adversarial robustness and optimization bias
(pdf)
Faghri, F., Gowal, S., Vasconcelos, C., Fleet, D.J.,
Pedregosa, F. and Le Roux, N.
arXiv 2102.08868
-
Non-Uniform Refinement: Adaptive regularization improves single
particle cryo-EM reconstruction
(preprint)
Punjani, A., Zhang, H., and Fleet, D.J.
Nature Methods 17 (12), 1214-1221
-
Exemplar VAE: Linking generative models, nearest neighbor retrieval,
and data augmentation
(pdf)
Norouzi, S., Fleet, D.J. and Norouzi, M.
Advances in Neural Information Processing Systems (NeurIPS), Vancouver.
-
SentenceMIM: A latent variable language model
(pdf)
Livne, M., Swersky, K., and Fleet, D.J.
arXiv:2003.02645.
-
A study of gradient variance in deep learning
(pdf)
Faghri, F., Duvenaud, D., Fleet, D.J. and Ba, J.
arXiv 2007.04532
-
Differentiable probabilistic models of scientific imaging with the
Fourier slice theorem
(pdf)
Ullrich, K., Berg, R., Brubaker, M., Fleet, D.J., and Welling, M.
Conference on Uncertainty in Artificial Inteligence (UAI)
-
MIM: Mutual Information Machine
(pdf)
Livne, M., Swersky, K., and Fleet, D.J.
arXiv preprint arXiv:1910.03175
-
TzK: Flow-based conditional generative model
(pdf)
Livne, M. and Fleet, D.J.
arXiv preprint arXiv:1902.01893
-
Algorithmic advances in single particle cryo-EM data processing
(preprint)
Punjani, A., Zhang, H., Rubinstein, J., Brubaker, A, and Fleet D.J.
Microscopy and Microanalysis 24 (S1), 868-869.
-
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
-
VSE++: Improved visual-semantic embeddings with hard negatives
(pdf)
Faghri, F., Fleet, D.J., Kiros, J.R., and Fidler, S.
British Machine Vision Conference,
September, Newcastle on Tyne
-
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.
-
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.
-
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
-
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.
-
CO2 Forest: Improved random forest by continuous optimization of oblique splits
(arxiv pdf)
Norouzi, M., Collins, M.D., Fleet, D.J. and Kohli, P.
arXiv 1506.06155 .
-
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.
-
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)
-
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.
-
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.
-
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.
-
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.
-
Cartesian k-means
(pdf)
© IEEE
Norouzi, M. and Fleet, D.J.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
Portland, 2013.
-
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.
-
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.
-
Hamming distance metric learning
(pdf)
Norouzi, M., Fleet, D.J. and Salakhudinov, R.
Advances in Neural Information Processing Systems (NIPS),
Lake Tahoe, 2012.
-
Motion models for people tracking
(pdf)
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.
-
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.
-
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.
-
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
-
Minimal loss hashing for compact binary codes
(pdf)
(code)
Norouzi, M. and Fleet, D.J.
International Conference on Machine Learning (ICML),
Bellevue, 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
-
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.
-
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.
-
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]
-
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.
-
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.
-
Estimating contact dynamics
(pdf)
© IEEE
Brubaker, M.A., Sigal, L. and Fleet, D.J.
IEEE International Conference on Computer Vision (ICCV),
Kyoto, 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
-
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.
-
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.
-
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.
-
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.
-
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
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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
-
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.
-
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.
-
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
-
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.
-
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, 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, 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, 2000.
-
Stereopsis from contrast envelopes
(abstract)
(pdf)
Langley, K., Fleet, D.J., and Hibbard, P.,
Vision Research 39(14): 2313-2324, 1999.
-
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) *]
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
Toward real-time optical flow.
Fleet, D.J. and Langley, K.
Vision Interface,, Toronto, May, pp. 116-124, 1993.
-
Measurement of Image Velocity.
Fleet, D.J.,
Kluwer Academic Press, Norwell, MA, 1992.
-
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.
-
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.
-
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 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.
-
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.
-
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.
Return to David Fleet's home page.