PUBLICATIONS

Publications by Theme:

Google Scholar Citations

All Publications

  • Informative Sensing of Natural Images
    Hyun Sung Chang, Yair Weiss, William T. Freeman
    IEEE Int. Conf. Image Processing, Egypt, Nov. 2009
    Paper (pdf)
  • 4D Frequency Analysis of Computational Cameras for Depth of Field Extension
    Anat Levin, S. Hasinoff, P. Green, F. Durand, W. T. Freeman
    SIGGRAPH, ACM Transactions on Graphics, Aug 2009
    Paper (pdf)
    :
    Project website
  • Understanding and evaluating blind deconvolution algorithms
    A. Levin, Y. Weiss, F. Durand, and W. T. Freeman
    IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2009

    Best paper award runner up

    Paper (pdf)
  • SIFT Flow: Dense Correspondence across Different Scenes
    C. Liu, J. Yuen, A. Torralba, J. Sivic, W. T. Freeman
    European Conference on Computer Vision, ECCV 2008
    Paper (pdf)
  • Understanding camera trade-offs through a Bayesian analysis of light field projections
    A. Levin, W. T. Freeman, and F. Durand
    European Conference on Computer Vision, ECCV 2008
    Paper (pdf)
    :
    Longer technical report
  • LabelMe: a Database and Web-based Tool for Image Annotation
    B. C. Russell, A. Torralba, K. P. Murphy, and W. T. Freeman
    International Journal of Computer Vision, 77(1-3):157-173, 2008
    Paper (pdf)
    :
    Project website
  • 80 million tiny images: a large dataset for non-parametric object and scene recognition
    A. Torralba, R. Fergus, and W. T. Freeman
    IEEE Transactions on Pattern Analysis and Machine Intelligence., Volume 30 , Issue 11 (November 2008), Pages: 1958-1970
    Paper (pdf)
    :
    Project website
  • Motion-Invariant Photography
    A. Levin, P. Sand, T. S. Cho, F. Durand, W. T. Freeman
    ACM Transactions on Graphics, 27(3), (Proc. SIGGRAPH), August, 2008
    Paper (pdf)
    :
    Project website
  • Creating and exploring a large photorealistic virtual space
    J. Sivic, B. Kaneva, A. Torralba, S. Avidan and W. T. Freeman
    First IEEE Workshop on Internet Vision, associated with CVPR 2008
    Paper (pdf)
  • Human-assisted motion annotation
    C. Liu, W. T. Freeman, E. H. Adelson and Y. Weiss
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008
    Paper (pdf)
    :
    Project website
  • The patch transform and its applications to image editing
    Taeg Sang Cho, Moshe Butman, Shai Avidan, William T. Freeman
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008

    Best Poster Award, CVPR 2008

    Paper (pdf)
    :
    Project website
  • Unsupervised Discovery of Visual Object Class Hierarchies
    J. Sivic, B. C. Russell, A. Zisserman, W. T. Freeman, and A. A. Efros
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008
    Paper (pdf)
  • Describing visual scenes using transformed objects and parts
    E. Sudderth, A. Torralba, W. T. Freeman, and A. Willsky
    International Journal of Computer Vision, 77, May 2008
    Paper (pdf)
  • Signal and Image Processing with Belief Propagation
    E. Sudderth and W. T. Freeman
    DSP Application Column, IEEE Signal Processing Magazine, Mar. 2008
    Paper (pdf)
  • Automatic estimation and removal of noise from a single image
    C. Liu, R. Szeliski, S. B. Kang, C. L. Zitnick, and W. T. Freeman
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 30, No. 2, pp. 299-314, Feb., 2008
    Paper (pdf)
  • Learning Compressed Sensing
    Yair Weiss, Hyun Sung Chang and William T. Freeman
    45th Allerton Conference on Communication, Control, and Computing, 2007
    Paper (pdf)
  • Object Recognition by Scene Alignment
    B. C. Russell, A. Torralba, C. Liu, R. Fergus, W. T. Freeman
    Advances in Neural Information Processing Systems (NIPS), 2007
    Paper (pdf)
  • A reliable skin mole localization scheme
    Taeg Sang Cho, William T. Freeman, Hensin Tsao
    2007 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), in conjunction with 2007 ICCV
    Paper (pdf)
  • Image and depth from a conventional camera with a coded aperture
    A. Levin, R. Fergus, F. Durand, and W. T. Freeman
    ACM Trans. On Graphics (Proc. SIGGRAPH) 2007
    Paper (pdf)
    :
    Project website
  • Face Hallucination: theory and practice
    C. Liu, H. Y. Shum and W. T. Freeman
    International Journal of Computer Vision, Vol. 75, no. 1, pp. 115-134, October, 2007
    Paper (pdf)
    :
    Project website
  • Learning Gaussian Conditional Random Fields for Low-Level Vision
    M. F. Tappen, C. Liu, W. T. Freeman, and E. H. Adelson
    IEEE Computer Vision and Pattern Recognition (CVPR) 2007
    Paper (pdf)
  • What makes a good model of natural images?
    Y. Weiss and W. T. Freeman
    IEEE Computer Vision and Pattern Recognition (CVPR) 2007
    Paper (pdf)
  • Sharing visual features for multiclass and multiview object detection
    A. Torralba, K. P. Murphy, and W. T. Freeman
    IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 29, no. 5, pp. 854-869, May, 2007
    Paper (pdf)
  • Exploring defocus matting: non-parametric acceleration, super-resolution, and off-center matting
    N. Joshi, W. Matusik, S. Avidan, H. Pfister, and W. T. Freeman
    IEEE Computer Graphics and Applications, special issue on Computational Photography, March, 2007
    Paper (pdf)
    :
    Project website
  • Random Lens Imaging
    Rob Fergus, Antonio Torralba and William T. Freeman
    MIT CSAIL Technical Report 2006-058, 2006
    Paper (pdf)
  • Removing camera shake from a single image
    R. Fergus, B. Singh, A. Hertzmann, S. Roweis, and W. T. Freeman
    SIGGRAPH 2006
    Paper (pdf)
    :
    Project website
  • Analysis of contour motions
    C. Liu, W. T. Freeman and E. H. Adelson
    Advances in Neural Information Processing Systems (NIPS 2006)

    Received Outstanding Student Paper Award

    Paper (pdf)
  • Bayesian model of human color constancy
    D. H. Brainard, P. Longere, P. B. Delahunt, W. T. Freeman, J. M. Kraft, and B. Xiao
    Journal of Vision, 6, 1267-1281, doi:10.1167/6.11.10. 2006

    http://journalofvision.org/6/11/10/

    Paper (pdf)
  • Estimating Intrinsic Component Images using Non-Linear Regression
    M. Tappen, E. Adelson, and W. T. Freeman
    IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) New York, NY, June, 2006
    Paper (pdf)
  • Depth from familiar objects: a hierarchical model for 3d scenes
    E. Sudderth, A. Torralba, W. T. Freeman, and A. Willsky
    IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) New York, NY, June, 2006
    Paper (pdf)
  • Noise estimation from a single image
    C. Liu, W. T. Freeman, R. Szeliski, and S. B. Kang
    IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) New York, NY, June, 2006
    Paper (pdf)
  • Using multiple segmentations to discover objects and their extent in image collections
    B. C. Russell, , A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman
    IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) New York, NY, June, 2006
  • Object detection and localization using local and global features
    K. Murphy, A. Torralba, D. Eaton, W. T. Freeman
    Lecture Notes in Computer Science (unrefeered). Sicily workshop on object recognition, 2005
    Paper (pdf)
  • Shared features for multiclass object detection
    A. Torralba, K. Murphy, W. T. Freeman
    Towards Category-Level Object Recognition. Springer Lecture Notes in Computer Science (invited submission). 2005
    Paper (pdf)
  • Motion Magnification
    Ce Liu, Antonio Torralba, William Freeman, Fredo Durand, and Edward Adelson
    SIGGRAPH 2005
    Paper (pdf)
    :
    Project website
  • Describing Visual Scenes using Transformed Dirichlet
    E. Sudderth, A. Torralba, W. Freeman, and A. Willsky
    Neural Information Processing Systems (NIPS), Vancouver, B.C., Dec. 2005
  • Discovering Objects and their Location in Images
    J. Sivic, B. Russell, A. A. Efros, A. Zisserman, W. T. Freeman
    International Conference on Computer Vision (ICCV), Beijing, China, Oct. 2005

    Received 2017 Helmholtz prize, test-of-time award.

    Paper (pdf)
  • An Ensemble Prior of Image Structure for Cross-modal Inference
    S. Ravela, A. Torralba, W. T. Freeman
    International Conference on Computer Vision (ICCV), Beijing, China, vol. 1, pp. 871-876, Oct. 2005
    Paper (pdf)
  • Learning Hierarchical Models of Scenes, Objects, and Parts
    E. Sudderth, A. Torralba, W. Freeman, and A. Willsky
    International Conference on Computer Vision (ICCV), Beijing, China, Oct. 2005
    Paper (pdf)
  • Recovering Intrinsic Images from a Single Image
    M. F. Tappen, W. T. Freeman, and E. H. Adelson
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 27, Issue 9, September 2005, Pages 1459 – 1472
    Paper (pdf)
  • LabelMe: a database and web-based tool for image annotation
    B. Russell, A. Torralba, K. Murphy, W. T. Freeman
    MIT AI Lab Memo AIM-2005-025, September, 2005
    Paper (pdf)
  • Constructing Free Energy Approximations and Generalized Belief Propagation Algorithms
    J. S. Yedidia, W. T. Freeman, and Y. Weiss
    IEEE Transactions on Information Theory, ISSN; 0018-9448, Vol. 51, Issue 7, pp. 2282-2312, July 2005
    Paper (pdf)
  • Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation
    Propagation E. Sudderth, M. Mandel, W. Freeman, and A. Willsky
    Neural Information Processing Systems (NIPS) 2004
    Paper (pdf)
  • Using the forest to see the trees: a graphical model relating features, objects, and scenes
    K. Murphy, A. Torralba, and W. T. Freeman
    Advances in Neural Information Processing Systems 16 (NIPS), Vancouver, BC, MIT Press, 2004
    Paper (pdf)
  • Efficient multiscale sampling from products of Gaussian mixtures
    A. T. Ihler, E. B. Sudderth, W. T. Freeman, and A. S. Willsky
    Advances in Neural Information Processing Systems 16 (NIPS), Vancouver, BC, MIT Press, 2004
    :
    Project website
  • Contextual Models for Object Detection Using Boosted Random Fields
    Antonio Torralba, Kevin P. Murphy, William T. Freeman
    Neural Information Processing Systems (NIPS), Vancouver, B.C., Dec. 2004
    Paper (pdf)
  • Single-frame Text Super-resolution: A Bayesian Approach
    G. Dalley, W. T. Freeman, and J. Marks
    International Conference on Image Processing (ICIP), Oct. 2004
    Paper (pdf)
  • Sharing visual features for multiclass and multiview object detection
    A. Torralba, K. P. Murphy, and W. T. Freeman
    IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) Washington, DC, 2004; MIT CSAIL technical report
    Paper (pdf)
  • Efficient graphical models for processing images
    M. F. Tappen, B. C. Russell, and W. T. Freeman
    IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) Washington, DC, 2004
    Paper (pdf)
  • Visual Hand Tracking Using Nonparametric Belief Propagation
    E. Sudderth, M. Mandel, W. Freeman, and A. Willsky
    Workshop on Generative Model Based Vision, CVPR, June 2004
    :
    Project website
  • Exploiting the sparse derivative prior for super-resolution and image demosaicing
    M. F. Tappen, B. C. Russell, and W. T. Freeman
    3rd Intl. Workshop on Statistical and Computational Theories of Vision (associated with Intl. Conf. on Computer Vision), Nice, France, October, 2003
    Paper (pdf)
  • Exploiting spatial and spectral image regularities for color constancy
    B. Singh, W. T. Freeman, and D. H. Brainard
    3rd Intl. Workshop on Statistical and Computational Theories of Vision (associated with Intl. Conf. on Computer Vision), Nice, France, October, 2003
    Paper (pdf)
  • Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters
    M. F. Tappen and W. T. Freeman
    IEEE Intl. Conference on Computer Vision (ICCV), Nice, France, October, 2003
    Paper (pdf)
  • Context-based vision system for place and object recognition
    A. Torralba, K. P. Murphy, W. T. Freeman, and M. A. Rubin
    IEEE Intl. Conference on Computer Vision (ICCV), Nice, France, October, 2003
    Paper (pdf)
  • Shape-Time Photography
    W. T Freeman and H. Zhang
    IEEE Computer Vision and Pattern Recognition (CVPR), Madison, WI, June, 2003
    Paper (pdf)
  • Nonparametric Belief Propagation and Facial Appearance Estimation
    E. B. Sudderth, A. T. Ihler, W. T. Freeman and A. S. Willsky
    IEEE Computer Vision and Pattern Recognition (CVPR), Madison, WI, June, 2003
    :
    Project website
  • Properties and Applications of Shape Recipes
    A. Torralba and W. T. Freeman
    IEEE Computer Vision and Pattern Recognition (CVPR), Madison, WI, June, 2003
    Paper (pdf)
  • Learning style translation for the lines of a drawing
    W. T. Freeman, J. B. Tenenbaum, E. Pasztor
    ACM Transactions on Graphics, January, 2003
    Paper (pdf)
  • Shape-Time Photography
    W. T. Freeman and H. Zhang
    MIT Artificial Intelligence Lab Memo 2002-002
    Paper (pdf)
  • Shape Recipes: Scene Representations that Refer to the Image
    William T. Freeman, Antonio Torralba
    Neural Information Processing Systems (NIPS) 2002
    Paper (pdf)
  • Example-based super-resolution
    William T. Freeman, Thouis R. Jones, and Egon C. Pasztor
    IEEE Computer Graphics and Applications, March/April, 2002.

     Test-of-time award given in 2023 from IEEE CG&A.

    Paper (pdf)
    :
    Project website
  • Teaching applied computing without programming: a case-based introductory course for general education
    Joe Marks, William Freeman, and Henry Leitner
    Proceedings of the thirty-second SIGCSE technical symposium on Computer Science Education, Charlotte, North Carolina, 2001
    Paper (pdf)
  • Image quilting for texture synthesis and transfer
    A. Efros and W. T Freeman
    SIGGRAPH 2001
    Paper (pdf)
  • Learning local evidence for shading and reflectance
    M. Bell and W. T. Freeman
    International Conference on Computer Vision, Vancouver, BC, Canada, 2001
    Paper (pdf)
  • Understanding belief propagation and its generalizations
    J. Yedidia, W. T. Freeman and Y. Weiss
    International Joint Conference on Artificial Intelligence (IJCAI 2001), Distinguished Papers Track
    Paper (pdf)
  • Generalized Belief Propagation
    J. Yedidia, W. T. Freeman, and Y. Weiss
    Neural Information Processing Systems 13, edited by T. K. Leen, T. G. dietterich, and V. Tresp, pp. 689-695, 2001
    Paper (pdf)
  • Learning Joint Statistical Models for Audio-Visual Fusion and Segregation
    J. W. Fisher, T. Darrell, W. T. Freeman and P. Viola
    Advances in Neural Information Processing Systems 13, edited by T. K. Leen, T. G. dietterich, and V. Tresp, pp. 772-778, 2001
  • Learning Motion Analysis
    W. T. Freeman, J. A. Haddon, and E. C. Pasztor
    Statistical Theories of the Brain, edited by R. Rao, B. Olshausen, and M. Lewicki, MIT Press, 2001
    Paper (pdf)
  • On the optimality of solutions of the max-product belief propagation algorithm in arbitrary graphs
    Y. Weiss and W. T. Freeman
    IEEE Trans. Information Theory, Special Issue on Codes on Graphs and Iterative Algorithms, 47(2), pp. 723-735, 2001
    Paper (pdf)
  • Learning Low-Level Vision
    W. T. Freeman, E. C. Pasztor, O. T. Carmichael
    International Journal of Computer Vision, 40(1), pp. 25-47, 2000
    Paper (pdf)
  • Bayesian Reconstruction of 3D Human Motion from Single-Camera Video
    Nicholas R. Howe, Michael E. Leventon, William T. Freeman
    Advances in Neural Information Processing Systems 12, edited by S. A. Solla, T. K. Leen, and K-R Muller, 2000
    Paper (pdf)
  • Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology
    Y. Weiss and W. T. Freeman
    Advances in Neural Information Processing Systems 12, edited by S. A. Solla, T. K. Leen, and K-R Muller, 2000
    Paper (pdf)
  • Separating style and content with bilinear models
    Joshua B. Tenenbaum, William T. Freeman
    Neural Computation 12(6), pp. 1247-1283, 2000
    Paper (pdf)
  • Markov networks for super-resolution
    W. T. Freeman and E. C. Pasztor
    Proceedings of 34th Annual Conference on Information Sciences and Systems (CISS 2000), Dept. Electrical Engineering, Princeton University, Princeton, NJ 08544-5263, March, 2000
    Paper (pdf)
  • Review of “Biometrics: personal identification in a networked society”
    W. T. Freeman
    Pattern Analysis and Applications, March, 2000
    Paper (pdf)
  • Learning low-level vision
    William T. Freeman, Egon C. Pasztor
    Appeared in IEEE International Conference on Computer Vision, Corfu, Greece, 1999
    Paper (pdf)
  • Artificial retina chips as on-chip image processors and gesture-oriented interfaces
    H. Kage, W. T. Freeman, Y. Miyake, E. Funatsu, K. Tanaka, K. Kyuma
    Optical Engineering, Vol. 38, No. 12, December, 1999
    Paper (pdf)
  • Computer vision for computer interaction
    W. T. Freeman, P. Beardsley, H. Kage, K. Tanaka, K. Kyuma, C. Weissman
    SIGGRAPH Computer Graphics magazine, November, 1999
    Paper (pdf)
  • An Inexpensive, All Solid-state Video and Data Recorder for Accident Reconstruction
    W. S. Yerazunis, D. L. Leigh, W. T. Freeman, R. S. Bardsley
    Presented at the 1999 SAE International Congress and Exposition in Detroit, Michigan on March 3, 1999; published as SAE Technical Paper number 1999-10-1299
    Paper (pdf)
  • An example-based approach to style translation for line drawings
    W. T. Freeman, J. B. Tenenbaum, E. Pasztor
    Tech. Rep. TR99-11, Mitsubishi Electric Research Laboratories, Cambridge, MA, February 1999
    Paper (pdf)
  • Markov networks for low-level vision
    William T. Freeman, Egon C. Pasztor
    Presented at Workshop on Statistical and Computational Theories of Vision
    Paper (pdf)
  • Learning to estimate scenes from images
    William T. Freeman, Egon C. Pasztor
    Neural Information Processing Systems, volume 11, 1999
    Paper (pdf)
  • A factorization approach to grouping
    P. Perona and W. T. Freeman
    Proceedings, European Conference on Computer Vision, 1998
    Paper (pdf)
  • Bayesian model of surface perception
    W. T. Freeman and P. A. Viola
    Neural Information Processing Systems, volume 10, pp. 787-793, 1998
    Paper (pdf)
  • Bayesian Estimation of 3-D Human Motion
    Michael E. Leventon, William T. Freeman
    Tech. Rep. TR98-06, Mitsubishi Electric Research Laboratories, Cambridge, MA, July 1998
    Paper (pdf)
  • Computer vision for interactive computer graphics
    W. T. Freeman, D. Anderson, P. Beardsley, C. Dodge, H. Kage, K. Kyuma, Y. Miyake, M. Roth, K. Tanaka, C. Weissman, W. Yerazunis
    IEEE Computer Graphics and Applications, volume 18, number 3, May-June, pp. 42-53, 1998
    Paper (pdf)
  • Separating Style and Content
    J. B. Tenenbaum and W. T. Freeman
    Neural Information Processing Systems 9, M. C. Mozer, M. I. Jordan and T. Petsche, Eds., Morgan Kaufmann, San Mateo, CA., 1997
    Paper (pdf)
  • Design Galleries: A General Approach to Setting Parameters for Computer Graphics and Animation
    J. Marks, B. Andalman, P. Beardsley, W. Freeman, S. Gibson, J. Hodgins, T. Kang, B. Mirtich, H. Pfister, W. Ruml, K. Ryall, J. Seims, S. Shieber
    ACM Computer Graphics, vol. 31, no. 4, (SIGGRAPH ’97) August, 1997
    Paper (pdf)
  • Bayesian Color Constancy
    D. H. Brainard and W. T. Freeman
    Journal of the Optical Society of America, A, 14(7), pp. 1393-1411, July, 1997
    Paper (pdf)
  • Learning bilinear models for two-factor problems in vision
    W. T. Freeman and J. B. Tenenbaum
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR ’97), Puerto Rico, U. S. A., June, 1997

    Received Outstanding Paper prize, CVPR '97

    Paper (pdf)
  • Exploiting the generic viewpoint assumption
    W. T. Freeman
    International Journal Computer Vision, 20 (3), 243-261, 1996
    Paper (pdf)
  • The generic viewpoint assumption in a Bayesian framework
    W. T. Freeman
    Perception as Bayesian Inference, D. Knill and W. Richards, eds., Cambridge University Press, 365 – 390, 1996
    Paper (pdf)
  • Computer vision for computer games
    W. T. Freeman, K. Tanaka, J. Ohta, and K. Kyuma
    , 2nd International Conference on Automatic Face and Gesture Recognition, Killington, VT, USA, pp. 100-105
    Paper (pdf)
  • Example-based head tracking
    S. Niyogi and W. T. Freeman
    2nd International Conference on Automatic Face and Gesture Recognition, Killington, VT, USA.
    Paper (pdf)
  • A gesture controlled human interface using an artificial retina chip
    Y. Miyake, W. T. Freeman, J. Ohta, K. Tanaka, and K. Kyuma
    IEEE Lasers and Electro-Optics (LEOS ’96), July, 1996
  • Artificial retina chips as image input interfaces for multimedia systems
    T. Toyoda, Y. Nitta, E. Funatsu, Y. Miyake, W. Freeman, J. Ohta, and K. Kyuma
    Optoelectronics and Communications Conference, OECC’96, Chiba, Japan, July, 1996
  • The steerable pyramid: a flexible architecture for multi-scale derivative computation
    E. P. Simoncelli and W. T. Freeman
    2nd Annual IEEE International Conference on Image Processing, Washington, DC. October, 1995
    Paper (pdf)
  • Bayesian decision theory, the maximum local mass estimate, and color constancy
    W. T. Freeman and D. H. Brainard
    Fifth International Conference on Computer Vision, IEEE Computer Society, Cambridge, MA, U.S.A, June, 1995, pp. 210 – 217
    Paper (pdf)
  • Television control by hand gestures
    W. T. Freeman and C. Weissman
    International Workshop on Automatic Face- and Gesture- Recognition, IEEE Computer Society, Zurich, Switzerland, June, 1995, pp. 179-183
    Paper (pdf)
  • Orientation histograms for hand gesture recognition
    W. T. Freeman and M. Roth
    International Workshop on Automatic Face- and Gesture- Recognition, IEEE Computer Society, Zurich, Switzerland, June, 1995, pp. 296-301

    Winner, 2013 Test-of-time award from Face and Gesture Recognition conference. Here is a video prepared to accept the test-of-time award, describing the work in its context, in .mov format, or in .mpeg format.

    Paper (pdf)