William T. Freeman

Publications

(last updated: August, 2013.) See other page for an edited and selected set of publications.
A. Levin, D. Glasner, Y. Xiong, F. Durand, W. Freeman, W. Matusik, T. Zickler Fabricating BRDFs at High Spatial Resolution Using Wave Optics ACM Transactions on Graphics, Volume 32, Number 4 (Proc. SIGGRAPH) 2013 pdf, [Project web page, with presentations and videos]

Neal Wadhwa, Michael Rubinstein, Fredo Durand, William T. Freeman Phase-based Video Motion Processing ACM Transactions on Graphics, Volume 32, Number 4 (Proc. SIGGRAPH) 2013 pdf, [Project web page, with presentations and videos]

William T. Freeman How To Do Research (Informal note written for new graduate students), March 6, 2013. pdf

William T. Freeman A Perfect Match (technical perspective) Communications of the ACM, November, 2011, vol. 54, no. 11. pdf

Forrester Cole, Phillip Isola, William T. Freeman, Fredo Durand, Edward Adelson Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation European Conference on Computer Vision (ECCV), October 2012. [Project page], pdf

Anat Levin, Boaz Nadler, Fredo Durand, William T. Freeman Patch Complexity, Finite Pixel Correlations and Optimal Denoising European Conference on Computer Vision (ECCV), October 2012. pdf

Michael Rubinstein, Ce Liu, William T. Freeman Annotation Propagation in Large Image Databases via Dense Image European Conference on Computer Vision (ECCV), October 2012. pdf

Roger B. Grosse, Ruslan Salakhutdinov, William T. Freeman, and Joshua B. Tenenbaum, Exploiting compositionality to explore a large space of model structures, Conf. on Uncertainty in Artificial Intelligence (UAI), August 2012. Best Student Paper Prize. pdf

YiChang Shih, Abe Davis, Sam Hasinoff, Fredo Durand, William T. Freeman Laser Speckle Photography for Surface Tampering Detection IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2012. pdf, [Project web page]

Antonio Torralba and William T. Freeman, Accidental pinhole and pinspeck cameras: revealing the scene outside the picture IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2012. pdf, [Project page]

Hao-Yu Wu, Michael Rubinstein, Eugene Shih, John Guttag, Fredo Durand, William T. Freeman Eulerian Video Magnification for Revealing Subtle Changes in the World ACM Transactions on Graphics, Volume 31, Number 4 (Proc. SIGGRAPH) 2012 pdf, [Project web page]

Michael Rubinstein, Ce Liu, William T. Freeman, Towards Longer Long-Range Motion Trajectories, British Machine Vision Conference (BMVC) 2012. pdf,

Sam Hasinoff, Anat Levin, Philip Goode and William T. Freeman, Diffuse Reflectance Imaging with Astronomical Applications IEEE Intl. Conf. on Computer Vision (ICCV), 2011. pdf [Project page]

Biliana Kaneva, Antonio Torralba, William Freeman, Evaluation of Image Features Using a Photorealistic Virtual World IEEE Intl. Conf. on Computer Vision (ICCV), 2011. pdf [Project page] [video]

A. Levin, Y. Weiss, F. Durand, and W. T. Freeman, Efficient Marginal Likelihood Optimization in Blind Deconvolution, IEEE Conf. on Computer Vision and Pattern Recognition (CVdeconvLevinEtalCVPR11.pdfPR), June 2011. pdf [extended TR] Code by Anat Levin

Taeg Sang Cho, Sylvain Paris, Bill Freeman, Berthold Horn Blur kernel estimation using the Radon Transform Proc. 23rd IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011. [pdf], [Matlab code],

Michael Rubinstein, Ce Liu, Peter Sand, Fredo Durand, Bill Freeman Motion Denoising with Application to Time-lapse Photography Proc. 23rd IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011. [pdf], [project page]

W. T. Freeman, Where computer vision needs help from computer science, ACM-SIAM Symposium on Discrete Algorithms, January, 2011 [pdf],

Micah K. Johnson, Kevin Dale, Shai Avidan, Hanspeter Pfister, William T. Freeman, Wojciech Matusik. CG2Real: Improving the Realism of Computer Generated Images using a Large Collection of Photographs IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) 2011 pdf, [Project web page]

Samuel W. Hasinoff, Frédo Durand, and William T. Freeman, Noise-Optimal Capture for High Dynamic Range Photography, Proc. 23rd IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2010. [pdf], [Project Page]

Samuel W. Hasinoff, Martyna Jóźwiak, Frédo Durand, and William T. Freeman, Search-and-Replace Editing for Personal Photo Collections, Proc. 2nd IEEE International Conference on Computational Photography, ICCP 2010, 8 pp. [pdf], [Project Page]

Biliana Kaneva, Josef Sivic, Antonio Torralba, Shai Avidan and William T. Freeman, Infinite Images: Creating and Exploring a Large Photorealistic Virtual Space, Proceedings of the IEEE, volume 98, issue 8, pages 1391 - 1407, 2010. [pdf] [Project Page]

Antonio Torralba, Kevin Murphy and William T. Freeman Using the Forest to See the Trees: Exploiting Context for Visual Object Detection and Localization, Communications of the ACM, march 2010, Vol. 53, No. 3. [pdf]

Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, and Alan S. Willsky, Nonparametric Belief Propagation, Communications of the ACM, October, 2010.

Taeg Sang Cho, Anat Levin, Frédo Durand, and William T. Freeman, Motion blur removal with orthogonal parabolic exposures, Proc. IEEE Intl. Conf. on Computational Photography (ICCP), 2010. [pdf], [Project Page]

A. Chakrabarti, Todd Zickler and William T. Freeman, Analyzing Spatially-varying blur, Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2010. [pdf], [Source code]

L. Zhu, Y. Chen, A. Torralba, A. Yuille and W. T. Freeman, Latent Hierarchical Structural Learning for Object Detection, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2010. [pdf],

L. Zhu, Y. Chen, A. Torralba, W. T. Freeman, and A. Yuille, Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2010. [pdf],

T. S. Cho, S. Avidan and W. T. Freeman, A Probabilistic Image Jigsaw Puzzle Solver , IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2010. [pdf], [project page].

T. S. Cho, N. Joshi, C. L. Zitnick, S. B. Kang, R. Szeliski and W. T. Freeman, A Content-Aware Image Prior, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2010. [pdf], [project page]

B. C. Russell, A. A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman Segmenting Scenes by Matching Image Composites Neural Information Processing Systems (NIPS) 2009. [pdf]

Long Zhu, Yuanhao Chen, William Freeman, Antonio Torralba. Nonparametric Bayesian Texture Learning and Synthesis Neural Information Processing Systems (NIPS) 2009. [pdf]

Hyun Sung Chang, Yair Weiss, William T. Freeman Informative Sensing of Natural Images IEEE Int. Conf. Image Processing, Egypt, Nov. 2009. [pdf]

R. Grosse, M.K. Johnson, E.H. Adelson, and W.T. Freeman Ground-truth dataset and baseline evaluations for intrinsic image algorithms International Conference on Computer Vision, 2009. [pdf] [MIT intrinsic images web page].

Biliana Kaneva, Josef Sivic, Antonio Torralba, Shai Avidan and William T. Freeman, Matching and Predicting Street Level Images, Workshop for Vision on Cognitive Tasks, European Conf. on Computer Vision (ECCV) 2010. [pdf]

T. S. Cho, S. Avidan, and W. T. Freeman, The Patch Transform, EEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 32, issue 8, pages 1489 - 1501, August, 2010 [pdf]

A. Levin, Y. Weiss, F. Durand, and W. T. Freeman, Understanding and evaluating blind deconvolution algorithms, Best paper award runner up. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2009. pdf extended TR Motion blur data slides

A. Levin, S. Hasinoff, P. Green, F. Durand, W. T. Freeman, 4D Frequency Analysis of Computational Cameras for Depth of Field Extension, SIGGRAPH, ACM Transactions on Graphics, Aug 2009. pdf project page

S. W. Hasinoff, K. N. Kutulakos, F. Durand and W. T. Freeman, Time-constrained Photography, Proc. 12th IEEE International Conference on Computer Vision (ICCV 2009, oral presentation). software.

J. Sivic, B. Kaneva, A. Torralba, S. Avidan and W. T. Freeman, Creating and exploring a large photorealistic virtual space, First IEEE Workshop on Internet Vision, associated with CVPR 2008. [pdf] [Workshop web page].

C. Liu, J. Yuen, A. Torralba, J. Sivic, W. T. Freeman SIFT Flow: Dense Correspondence across Different Scenes European Conference on Computer Vision, ECCV 2008 pdf file.

A. Levin, W. T. Freeman, and F. Durand Understanding camera trade-offs through a Bayesian analysis of light field projections European Conference on Computer Vision, ECCV 2008 pdf file. , Longer Technical Report. , Code.

C. Liu, W. T. Freeman, E. H. Adelson and Y. Weiss, Human-assisted motion annotation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2008. pdf file. , Project page.

Taeg Sang Cho, Moshe Butman, Shai Avidan, William T. Freeman, "The patch transform and its applications to image editing" 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pdf file. , project web page. Best Poster Award, CVPR 2008.

C. Liu, R. Szeliski, S. B. Kang, C. L. Zitnick, and W. T. Freeman, Automatic estimation and removal of noise from a single image, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 30, No. 2, pp. 299-314, Feb., 2008. pdf file.

A. Levin, P. Sand, T. S. Cho, F. Durand, W. T. Freeman, Motion-Invariant Photography, ACM Transactions on Graphics, 27(3), (Proc. SIGGRAPH), August, 2008. pdf file. , Project page.

B. C. Russell, A. Torralba, K. P. Murphy, and W. T. Freeman, LabelMe: a Database and Web-based Tool for Image Annotation International Journal of Computer Vision, 77(1-3):157-173, 2008. pdf file. , Project page.

J. Sivic, B. C. Russell, A. Zisserman, W. T. Freeman, and A. A. Efros, Unsupervised Discovery of Visual Object Class Hierarchies IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. pdf file.

Rob Fergus, Antonio Torralba and William T. Freeman, Random Lens Imaging, MIT CSAIL Technical Report 2006-058, 2006. [pdf file].

Yair Weiss, Hyun Sung Chang and William T. Freeman, Learning Compressed Sensing, 45th Allerton Conference on Communication, Control, and Computing, 2007 [pdf file].

B. C. Russell, A. Torralba, C. Liu, R. Fergus, W. T. Freeman, Object Recognition by Scene Alignment, Advances in Neural Information Processing Systems (NIPS), 2007. pdf file. , project page.

A. Torralba, R. Fergus, and W. T. Freeman, 80 million tiny images: a large dataset for non-parametric object and scene recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence., Volume 30 , Issue 11 (November 2008), Pages: 1958-1970. [pdf file]. [project page].

E. Sudderth, A. Torralba, W. T. Freeman, and A. Willsky, Describing visual scenes using transformed objects and parts, International Journal of Computer Vision, 77, May 2008. pdf file.

E. Sudderth and W. T. Freeman, Signal and Image Processing with Belief Propagation, DSP Application Column, IEEE Signal Processing Magazine, Mar. 2008. pdf file.

M. F. Tappen, C. Liu, W. T. Freeman, and E. H. Adelson, Learning Gaussian Conditional Random Fields for Low-Level Vision, IEEE Computer Vision and Pattern Recognition (CVPR) 2007. pdf file. A sample training implementation is also available [.ZIP]

M. Tappen, E. Adelson, and W. T. Freeman, Estimating Intrinsic Component Images using Non-Linear Regression. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) New York, NY, June, 2006. (pdf file). The training and test data from this paper is also available as a .MAT file [.ZIP (10 MB)]

Taeg Sang Cho, William T. Freeman, Hensin Tsao, A reliable skin mole localization scheme 2007 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), in conjunction with 2007 ICCV (pdf file).

N. Joshi, W. Matusik, S. Avidan, H. Pfister, and W. T. Freeman, Exploring defocus matting: non-parametric acceleration, super-resolution, and off-center matting, IEEE Computer Graphics and Applications, special issue on Computational Photography, March, 2007. pdf file. See also project page.

Y. Weiss and W. T. Freeman, What makes a good model of natural images?, IEEE Computer Vision and Pattern Recognition (CVPR) 2007 pdf file. See also MATLAB code from Y.W. and training data.

T. S. Cho, W. T. Freeman and H. Tsao, A reliable skin mole localization scheme, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, In the Proceedings of International Conference of Computer Vision Oct. 14-17, 2007 pdf file.

C. Liu, H. Y. Shum and W. T. Freeman, Face Hallucination: theory and practice, International Journal of Computer Vision, Vol. 75, no. 1, pp. 115-134, October, 2007. pdf file. See also web page.

A. Levin, R. Fergus, F. Durand, and W. T. Freeman, Image and depth from a conventional camera with a coded aperture, ACM Trans. On Graphics (Proc. SIGGRAPH 2007) pdf file. See also web page.

A. Torralba, K. P. Murphy, and W. T. Freeman Sharing visual features for multiclass and multiview object detection IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 29, no. 5, pp. 854-869, May, 2007. (pdf file).

C. Liu, W. T. Freeman and E. H. Adelson, Analysis of contour motions, Advances in Neural Information Processing Systems (NIPS 2006). Received Outstanding Student Paper Award. pdf file. December, 2006.

D. H. Brainard, P. Longere, P. B. Delahunt, W. T. Freeman, J. M. Kraft, and B. Xiao, Bayesian model of human color constancy, Journal of Vision, 6, 1267-1281, http://journalofvision.org/6/11/10/, doi:10.1167/6.11.10. 2006.

K. Murphy, A. Torralba, D. Eaton, W. T. Freeman, Object detection and localization using local and global features, Lecture Notes in Computer Science (unrefeered). Sicily workshop on object recognition, 2005. pdf file.

M. F. Tappen, W. T. Freeman, and E. H. Adelson, Recovering Intrinsic Images from a Single Image, In IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 27, Issue 9, September 2005, Pages 1459 - 1472 pdf file.

A. Torralba, K. Murphy, W. T. Freeman, Shared features for multiclass object detection, Towards Category-Level Object Recognition. Springer Lecture Notes in Computer Science (invited submission). pdf file. 2005.

K. Murphy, A. Torralba, D. Eaton, W. T. Freeman, Object detection and localization using local and global features Lecture Notes in Computer Science (unrefeered). Sicily workshop on object recognition, 2005. pdf file. 2005.

B. Russell, A. Torralba, K. Murphy, W. T. Freeman, LabelMe: a database and web-based tool for image annotation MIT AI Lab Memo AIM-2005-025, pdf file. September, 2005.

A. Torralba, K. P. Murphy and W. T. Freeman, Sharing visual features for multiclass and multiview object detection, In press, IEEE Transactions On Pattern Analysis and Machine Intelligence.

R. Fergus, B. Singh, A. Hertzmann, S. Roweis, and W. T. Freeman, Removing camera shake from a single image, SIGGRAPH 2006. pdf file. See also web page.

E. Sudderth, A. Torralba, W. T. Freeman, and A. Willsky, Depth from familiar objects: a hierarchical model for 3d scenes, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) New York, NY, June, 2006. (pdf file).

C. Liu, W. T. Freeman, R. Szeliski, and S. B. Kang, Noise estimation from a single image, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) New York, NY, June, 2006. (pdf file).

B. C. Russell, , A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman, Using multiple segmentations to discover objects and their extent in image collections, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) New York, NY, June, 2006. (pdf file) (web page).

E. Sudderth, A. Torralba, W. Freeman, and A. Willsky Describing Visual Scenes using Transformed Dirichlet Processes. Neural Information Processing Systems (NIPS), Vancouver, B.C., Dec. 2005. (pdf file).

J. Sivic, B. Russell, A. A. Efros, A. Zisserman, W. T. Freeman, Discovering Objects and their Location in Images International Conference on Computer Vision (ICCV), Beijing, China, Oct. 2005. (pdf file).

S. Ravela, A. Torralba, W. T. Freeman An Ensemble Prior of Image Structure for Cross-modal Inference, International Conference on Computer Vision (ICCV), Beijing, China, vol. 1, pp. 871-876, Oct. 2005. (pdf file).

E. Sudderth, A. Torralba, W. Freeman, and A. Willsky Learning Hierarchical Models of Scenes, Objects, and Parts International Conference on Computer Vision (ICCV), Beijing, China, Oct. 2005. (pdf file).

Ce Liu, Antonio Torralba, William Freeman, Fredo Durand, and Edward Adelson, Motion Magnification, SIGGRAPH 2005. pdf file. See also web page.

Antonio Torralba, Kevin P. Murphy, William T. Freeman Contextual Models for Object Detection Using Boosted Random Fields Neural Information Processing Systems (NIPS), Vancouver, B.C., Dec. 2004. (pdf file).

A. Torralba, K. P. Murphy, and W. T. Freeman Sharing visual features for multiclass and multiview object detection IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) Washington, DC, 2004. And MIT CSAIL technical report (pdf file).

G. Dalley, W. T. Freeman, and J. Marks Single-frame Text Super-resolution: A Bayesian Approach International Conference on Image Processing (ICIP), Oct. 2004. (pdf file).

M. F. Tappen, B. C. Russell, and W. T. Freeman, Efficient graphical models for processing images IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) Washington, DC, 2004. (pdf file).

E. Sudderth, M. Mandel, W. Freeman, and A. Willsky, Visual Hand Tracking Using Nonparametric Belief Propagation. Workshop on Generative Model Based Vision, CVPR, June 2004. (pdf file). Web page and code are here.

E. Sudderth, M. Mandel, W. Freeman, and A. Willsky, Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation. in Advances in Neural Information Processing Systems 17 (NIPS), Vancouver, BC, MIT Press, 2005. (pdf file). Web page and code are here.

K. Murphy, A. Torralba, and W. T. Freeman, Using the forest to see the trees: a graphical model relating features, objects, and scenes, in Advances in Neural Information Processing Systems 16 (NIPS), Vancouver, BC, MIT Press, 2004. (pdf file).

A. T. Ihler, E. B. Sudderth, W. T. Freeman, and A. S. Willsky, Efficient multiscale sampling from products of Gaussian mixtures, in Advances in Neural Information Processing Systems 16 (NIPS), Vancouver, BC, MIT Press, 2004. Web page and code are here.

M. F. Tappen, B. C. Russell, and W. T. Freeman, Exploiting the sparse derivative prior for super-resolution and image demosaicing, 3rd Intl. Workshop on Statistical and Computational Theories of Vision (associated with Intl. Conf. on Computer Vision), Nice, France, October, 2003. (pdf file).

B. Singh, W. T. Freeman, and D. H. Brainard, Exploiting spatial and spectral image regularities for color constancy, 3rd Intl. Workshop on Statistical and Computational Theories of Vision (associated with Intl. Conf. on Computer Vision), Nice, France, October, 2003. (pdf file).

M. F. Tappen and W. T. Freeman, Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters, IEEE Intl. Conference on Computer Vision (ICCV), Nice, France, October, 2003. (pdf file).

A. Torralba, K. P. Murphy, W. T. Freeman, and M. A. Rubin, Context-based vision system for place and object recognition, IEEE Intl. Conference on Computer Vision (ICCV), Nice, France, October, 2003. (pdf file).

W. T Freeman and H. Zhang, Shapetime photography, IEEE Computer Vision and Pattern Recognition (CVPR), Madison, WI, June, 2003. (pdf file).

E. B. Sudderth, A. T. Ihler, W. T. Freeman and A. S. Willsky Nonparametric Belief Propagation and Facial Appearance Estimation, IEEE Computer Vision and Pattern Recognition (CVPR), Madison, WI, June, 2003. (pdf file). Web page and code are here.

A. Torralba and W. T. Freeman, Properties and Applications of Shape Recipes, IEEE Computer Vision and Pattern Recognition (CVPR), Madison, WI, June, 2003. (pdf file).

W. T. Freeman and A. Torralba, Shape recipes: scene representations that refer to the image in Vision Sciences Society Annual Meeting, May, 2003.

A. Torralba, A. Oliva, and W. T. Freeman, Object Recognition by Scene Alignment, in Vision Sciences Society Annual Meeting, May, 2003.

Marshall F. Tappen, William T. Freeman and Edward H. Adelson Recovering Intrinsic Images from a Single Image in Advances in Neural Information Processing Systems 15 (NIPS), MIT Press, 2003 (pdf file).

William T. Freeman and Antonio Torralba Shape Recipes: Scene Representations that Refer to the Image in Advances in Neural Information Processing Systems 15 (NIPS), MIT Press, 2003 (pdf file).

Antonio Torralba and William T. Freeman Properties and Applications of Shape Recipes MIT Artificial Intelligence Lab Memo 2002-019 (pdf file).

Erik B. Sudderth, Alexander T. Ihler, William T. Freeman and Alan S. Willsky Nonparametric Belief Propagation and Facial Appearance Estimation MIT Artificial Intelligence Lab Memo 2002-020 (pdf file). Web page and code are here.

W. T. Freeman, J. B. Tenenbaum, E. Pasztor, Learning style translation for the lines of a drawing. ACM Transactions on Graphics, January, 2003 (pdf file).

J. S. Yedidia, W. T. Freeman, and Y. Weiss, Constructing Free Energy Approximations and Generalized Belief Propagation Algorithms IEEE Transactions on Information Theory, ISSN; 0018-9448, Vol. 51, Issue 7, pp. 2282-2312, July 2005. (pdf file).

W. T Freeman and H. Zhang, Shape-time photography, MIT Artificial Intelligence Lab Memo 2002-002, (pdf file).

Joe Marks, William Freeman, and Henry Leitner, Teaching applied computing without programming: a case-based introductory course for general education, Proceedings of the thirty-second SIGCSE technical symposium on Computer Science Education, Charlotte, North Carolina, 2001. pdf file.

A. Efros and W. T Freeman, Image quilting for texture synthesis and transfer, SIGGRAPH 2001. pdf file.

M. Bell and W. T. Freeman, Learning local evidence for shading and reflectance, , International Conference on Computer Vision, Vancouver, BC, CANADA, 2001. MERL-TR2001-04.

J. Yedidia, W. T. Freeman and Y. Weiss, Understanding belief propagation and its generalizations International Joint Conference on Artificial Intelligence (IJCAI 2001), Distinguished Papers Track. pdf file.

William T. Freeman, Thouis R. Jones, and Egon C. Pasztor, Example-based super-resolution, IEEE Computer Graphics and Applications, March/April, 2002. (pdf);
MERL technical report: software and images

J. Yedidia, W. T. Freeman, and Y. Weiss Generalized Belief Propagation in Advances in Neural Information Processing Systems 13, edited by T. K. Leen, T. G. dietterich, and V. Tresp, pp. 689-695, 2001. MERL-TR2000-26.

J. W. Fisher, T. Darrell, W. T. Freeman and P. Viola, Learning Joint Statistical Models for Audio-Visual Fusion and Segregation in Advances in Neural Information Processing Systems 13, edited by T. K. Leen, T. G. dietterich, and V. Tresp, pp. 772-778, 2001.

W. T. Freeman, J. A. Haddon, and E. C. Pasztor Learning Motion Analysis To appear in "Statistical Theories of the Brain", edited by R. Rao, B. Olshausen, and M. Lewicki, MIT Press, 2001. MERL-TR2000-32.

W. T. Freeman and E. C. Pasztor Markov networks for super-resolution. Published in Proceedings of 34th Annual Conference on Information Sciences and Systems (CISS 2000), Dept. Electrical Engineering, Princeton University, Princeton, NJ 08544-5263, March, 2000. MERL-TR2000-08. software and images

W. T. Freeman Review of "Biometrics: personal identification in a networked society. Pattern Analysis and Applications, March, 2000 MERL-TR2000-07.

W. T. Freeman, E. C. Pasztor, O. T. Carmichael Learning Low-Level Vision International Journal of Computer Vision, 40(1), pp. 25-47, 2000. MERL-TR2000-05.

Y. Weiss and W. T. Freeman On the optimality of solutions of the max-product belief propagation algorithm in arbitrary graphs. IEEE Trans. Information Theory, Special Issue on Codes on Graphs and Iterative Algorithms, 47(2), pp. 723-735, 2001. MERL-TR99-39.

H. Kage, W. T. Freeman, Y. Miyake, E. Funatsu, K. Tanaka, K. Kyuma. Artificial retina chips as on-chip image processors and gesture-oriented interfaces , in Optical Engineering, Vol. 38, No. 12, December, 1999. MERL-TR2000-06.

Nicholas R. Howe, Michael E. Leventon, William T. Freeman, Bayesian Reconstruction of 3D Human Motion from Single-Camera Video To appear in: Advances in Neural Information Processing Systems 12, edited by S. A. Solla, T. K. Leen, and K-R Muller, 2000. MERL-TR99-37.

Y. Weiss and W. T. Freeman Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology. Neural Computation, Vol. 13, No. 10, Oct., 2001, pp. 2173--2200.

Y. Weiss and W. T. Freeman Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology. in: Advances in Neural Information Processing Systems 12, edited by S. A. Solla, T. K. Leen, and K-R Muller, 2000. MERL-TR99-38.

W. T. Freeman, P. Beardsley, H. Kage, K. Tanaka, K. Kyuma, C. Weissman. Computer vision for computer interaction , in SIGGRAPH Computer Graphics magazine, November, 1999. MERL-TR99-36.

Y. Weiss and W. T. Freeman Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology. Also published as UC Berkeley CS Department TR UCB//CSD-99-1046. MERL-TR99-33.

W. S. Yerazunis, D. L. Leigh, W. T. Freeman, R. S. Bardsley, An Inexpensive, All Solid-state Video and Data Recorder for Accident Reconstruction. Presented at the 1999 SAE International Congress and Exposition in Detroit, Michigan on March 3, 1999. P ublished as SAE Technical Paper number 1999-10-1299. MERL-TR99-29.

William T. Freeman, Egon C. Pasztor, Learning low-level vision. Appeared in IEEE International Conference on Computer Vision, Corfu, Greece, 1999. MERL-TR99-12.

W. T. Freeman, J. B. Tenenbaum, E. Pasztor, An example-based approach to style translation for line drawings. MERL-TR99-11.

William T. Freeman, Egon C. Pasztor, Markov networks for low-level vision. Presented at Workshop on Statistical and Computational Theories of Vision. MERL-TR99-08.

William T. Freeman, Egon C. Pasztor, Learning to estimate scenes from images. Neural Information Processing Systems, volume 11, 1999. MERL-TR99-05.

Joshua B. Tenenbaum, William T. Freeman Separating style and content with bilinear models Neural Computation 12(6), pp. 1247-1283, 2000. (pdf file).

P. Perona and W. T. Freeman, A factorization approach to grouping , in Proceedings, European Conference on Computer Vision, 1998. MERL-TR99-03.

W. T. Freeman, D. Anderson, P. Beardsley, C. Dodge, H. Kage, K. Kyuma, Y. Miyake, M. Roth, K. Tanaka, C. Weissman, W. Yerazunis, Computer vision for interactive computer graphics , in IEEE Computer Graphics and Applications, volume 18, number 3, May--June, pp. 42-53, 1998. (pdf);
MERL-TR99-02.

W. T. Freeman and P. A. Viola, Bayesian model of surface perception, Neural Information Processing Systems, volume 10, pp. 787-793, 1998. MERL-TR98-05.

Michael E. Leventon, William T. Freeman, Bayesian Estimation of 3-D Human Motion MERL-TR98-06.

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, Design Galleries: A General Approach to Setting Parameters for Computer Graphics and Animation , ACM Computer Graphics, vol. 31, no. 4, (SIGGRAPH '97) August, 1997. MERL-TR97-14.

D. H. Brainard and W. T. Freeman, Bayesian Color Constancy, Journal of the Optical Society of America, A, 14(7), pp. 1393-1411, July, 1997. pdf file.

W. T. Freeman and J. B. Tenenbaum, Learning bilinear models for two-factor problems in vision , IEEE Conference on Computer Vision and Pattern Recognition (CVPR '97), Puerto Rico, U. S. A., June, 1997. Received Outstanding Paper prize, CVPR '97 MERL-TR96-37.

J. B. Tenenbaum and W. T. Freeman, Separating Style and Content, in Advances in Neural Information Processing Systems 9, M. C. Mozer, M. I. Jordan and T. Petsche, Eds., Morgan Kaufmann, San Mateo, CA., 1997. MERL-TR96-36.

W. T. Freeman, Exploiting the generic viewpoint assumption, International Journal Computer Vision, 20 (3), 243-261, 1996. MERL-TR93-15a.

W. T. Freeman, The generic viewpoint assumption in a Bayesian framework, in Perception as Bayesian Inference, D. Knill and W. Richards, eds., Cambridge University Press, 365 - 390, 1996. MERL-TR93-11a.

W. T. Freeman, K. Tanaka, J. Ohta, and K. Kyuma, Computer vision for computer games, 2nd International Conference on Automatic Face and Gesture Recognition, Killington, VT, USA, pp. 100--105. MERL-TR96-35.

S. Niyogi and W. T. Freeman, Example-based head tracking, 2nd International Conference on Automatic Face and Gesture Recognition, Killington, VT, USA. MERL-TR96-34.

Y. Miyake, W. T. Freeman, J. Ohta, K. Tanaka, and K. Kyuma, A gesture controlled human interface using an artificial retina chip , IEEE Lasers and Electro-Optics (LEOS '96), July, 1996. MERL-TR96-32.

T. Toyoda, Y. Nitta, E. Funatsu, Y. Miyake, W. Freeman, J. Ohta, and K. Kyuma Artificial retina chips as image input interfaces for multimedia systems , Optoelectronics and Communications Conference, OECC'96, Chiba, Japan, July, 1996. MERL-TR96-33.

E. P. Simoncelli and W. T. Freeman, The steerable pyramid: a flexible architecture for multi-scale derivative computation, 2nd Annual IEEE International Conference on Image Processing, Washington, DC. October, 1995. MERL-TR95-15.

W. T. Freeman and D. H. Brainard, Bayesian decision theory, the maximum local mass estimate, and color constancy, Fifth International Conference on Computer Vision, IEEE Computer Society, Cambridge, MA, U.S.A, June, 1995, pp. 210 - 217. MERL-TR94-23.

W. T. Freeman and C. Weissman, Television control by hand gestures, International Workshop on Automatic Face- and Gesture- Recognition, IEEE Computer Society, Zurich, Switzerland, June, 1995, pp. 179--183. MERL-TR94-24.

W. T. Freeman and M. Roth, Orientation histograms for hand gesture recognition, 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. MERL-TR94-03. 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.

C. Rich, R. C. Waters, C. Strohecker, Y. Schabes, W. T. Freeman, M. C. Torrance, A. R. Golding, and M. Roth, Demonstration of an interactive environment for collaboration and learning, IEEE Computer, Vol. 27, No. 12, Dec. 1994. MERL-TR94-06.

C. Rich, R. C. Waters, Y. Schabes, W. T. Freeman, M. C. Torrance, A. R. Golding, and M. Roth, An animated online community with artificial agents and spoken interaction, IEEE MultiMedia, Vol. 1, No. 4, Dec. 1994. MERL-TR94-06.

I. Carlbom (course organizer) and W. Freeman, G. Klinker, W. Lorensen, R. Szeliski, D. Terzopoulos, and K. Waters, Computer vision for computer graphics, SIGGRAPH '94 and '95 course notes.

W. T. Freeman, The generic viewpoint assumption in a framework for visual perception, Nature, vol. 368, p. 542 - 545, April 7, 1994. reprint.

D. H. Brainard and W. T. Freeman, Bayesian method for recovering surface and illuminant properties from photosensor responses, in Human Vision, Visual Processing and Digital Display V, SPIE Proceedings Series, vol. 2179, 1994.

E. H. Adelson, P. Sinha, and W. T. Freeman, Building and using catalogs of grey-level junctions, Proc. 15th European Conference on Visual Perception, Edinburgh, Scotland. August, 1993.

W. T. Freeman, Exploiting the generic view assumption to estimate scene parameters, IEEE International Conference on Computer Vision, Berlin, Germany, 1993.

W. T. Freeman, Steerable Filters and Local Analysis of Image Structure, Ph.D. Thesis, Massachusetts Institute of Technology, 1992. Abstract , pdf file of thesis (2.3 Mbytes). Also available as Vision and Modeling Technical Report 190, MIT Media Laboratory.

E. P. Simoncelli, W. T. Freeman, E. H. Adelson and D. J. Heeger. Shiftable Multi-Scale Transforms. IEEE Trans. Information Theory, Special Issue on Wavelets. Vol. 38, No. 2, pp. 587-607, March 1992. Abstract / Full (1.1M) pdf (2.1M)

W. T. Freeman and E. H. Adelson, The design and use of steerable filters, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 13, no. 9, pp. 891 - 906, September, 1991. MIT Vision and Modeling Group TR 126. Also available as pdf file.

W. T. Freeman, E. H. Adelson, and D. J. Heeger, Motion without movement, ACM Computer Graphics, vol. 25, no. 4, (SIGGRAPH '91), pp. 27 - 30, July, 1991.

W. T. Freeman and E. H. Adelson, Steerable filters for early vision, image analysis, and wavelet decomposition, IEEE International Conference on Computer Vision, Osaka, Japan, 1990.

E. H. Adelson, E. P. Simoncelli, and W. T. Freeman, Pyramids and multiscale representations, Proc. 13th European Conference on Visual Perception, Paris, 1990. pdf

J. G. Chen, Q. Tian, and W. T. Freeman, A neural network for image noise removal (in Chinese), 1st National Conference on Neural Networks and their Applications, Beijing, 1990.

W. T. Freeman, J. G. Chen, and Q. Tian, Applications of neural networks in image processing (in Chinese), Automation Soc. of China Symp. on Neural Networks, pp. 46 - 55, Beijing, 1989.

W. T. Freeman and E. H. Adelson, Steerable filters, OSA Topical Meeting on Image Understanding and Machine Vision, Technical Digest Series Volume 14, June, 1989.

W. T. Freeman, Image processing to remove grain from photographs, Society of Photographic Scientists and Engineers 42nd Annual Conference, pp. 457 - 460, May, 1989.

E. J. Kirkland, W. T. Freeman, M. Ohtsuki, M. S. Isaacson, and B. S. Siegal, Computer Image Processing of STEM Images of Tobacco Mosaic Virus, Ultramicroscopy 6, 367-76 (1981).

V. R. Eschleman, G. L. Tyler and W. T. Freeman, Deep Radio Occultations and 'Evolute Flashes': Their Characteristics and Utility for Planetary Studies, Icarus 37, 612-26 (1979).