All Publications

Refraction Wiggles for Measuring Fluid Depth and Velocity from Video

Tianfan Xue, Michael Rubinstein , Neal Wadhwa , Anat Levin, Frédo Durand, William T. Freeman
European Conference on Computer Vision (ECCV 2014)
Paper (pdf)  :  Project page

Style Transfer for Headshot Portraits

YiChang Shih, Sylvain Paris, Connelly Barnes, William T. Freeman, Frédo Durand
ACM Transactions on Graphics (SIGGRAPH) 2014
Paper (pdf)  :  Project page

The Visual Microphone: Passive Recovery of Sound from Video

Abe Davis, Michael Rubinstein, Neal Wadhwa, Gautham Mysore, Fredo Durand, William T. Freeman
ACM Transactions on Graphics, Volume 33, Number 4 (Proc. SIGGRAPH), 2014.
Paper (pdf)  :  Project web page  :  Wait, Wait Don't Tell Me segment (starts at minute 3:28)  :  Chinese television (CCTV)

Camouflaging an Object from Many Viewpoints

Andrew Owens, Connelly Barnes, Alex Flint, Hanumant Singh, William T. Freeman
IEEE Computer Vision and Pattern Recognition (CVPR) 2014
Paper (pdf)  :  Project page

Seeing the Arrow of Time

Lyndsey Pickup, Zheng Pan, Donglai Wei, Yichang Shih, Andrew Zisserman, William T. Freeman, Bernhard Schoelkopf
IEEE Computer Vision and Pattern Recognition (CVPR) 2014
Paper (pdf)  :  Project page (and data)

A Compositional Model for Low-Dimensional Image Set Representation

Hossein Mobahi, Ce Liu, and William T. Freeman
IEEE Computer Vision and Pattern Recognition (CVPR) 2014
Paper (pdf)

Rethinking color cameras

Ayan Chakrabarti, William T. Freeman, Todd Zickler
IEEE International Conference on Computational Photography (ICCP), 2014.
Paper (pdf)

Riesz Pyramids for Fast Phase-Based Video Magnification

Neal Wadhwa, Michael Rubinstein, Frédo Durand, William T. Freeman
International Conference on Computational Photography (ICCP), 2014.
Paper (pdf)  :  Project page

Structural modal identification through high speed camera video

Justin G Chen, Neal Wadhwa, Young-Jin Cha, Frédo Durand, William T. Freeman, Oral Buyukozturk
Topics in Modal Analysis I, Volume 7, pages 191-197, Springer International Publishing, 2014.
Paper (pdf)

Fabricating BRDFs at High Spatial Resolution Using Wave Optics

A. Levin, D. Glasner, Y. Xiong, F. Durand, W. Freeman, W. Matusik, T. Zickler
ACM Transactions on Graphics, Volume 32, Number 4 (Proc. SIGGRAPH) 2013
Paper (pdf)  :  Project website

Phase-based Video Motion Processing

Neal Wadhwa, Michael Rubinstein, Fredo Durand, William T. Freeman
ACM Transactions on Graphics, Volume 32, Number 4 (Proc. SIGGRAPH) 2013
Paper (pdf)  :  Project website

Estimating the Material Properties of Fabric from Video

Katherine L. Bouman, Bei Xiao, Peter Battaglia, William T. Freeman
2013 IEEE International Conference on Computer Vision (ICCV)
Paper (pdf)  :  Project page

Group Norm for Learning Structured SVMs with Unstructured Latent Variables

Daowen Chen, Dhruv Batra, William T. Freeman
2013 IEEE International Conference on Computer Vision (ICCV)
Paper (pdf)

Shape Anchors for Data-Driven Multi-view Reconstruction

Andrew Owens, Jianxiong Xiao, Antonio Torralba, William Freeman
International Conference on Computer Vision (ICCV), 2013
Paper (pdf)  :  Project page

Data-driven Hallucination of Different Times of Day from a Single Outdoor Photo

YiChang Shih, Sylvain Paris, Frédo Durand, William T. Freeman
ACM Transactions on Graphics (SIGGRAPH Asia) 2013
Paper (pdf)  :  project page  :  video demo

How To Do Research

William T. Freeman
(Informal note written for new graduate students), March 6, 2013
Paper (pdf)

Eulerian Video Magnification for Revealing Subtle Changes in the World

Hao-Yu Wu, Michael Rubinstein, Eugene Shih, John Guttag, Fredo Durand, William T. Freeman
ACM Transactions on Graphics, Volume 31, Number 4 (Proc. SIGGRAPH) 2012
Paper (pdf)  :  Project website

Towards Longer Long-Range Motion Trajectories

Michael Rubinstein, Ce Liu, William T. Freeman
British Machine Vision Conference (BMVC) 2012
Paper (pdf)

Annotation Propagation in Large Image Databases via Dense Image Correspondence

Michael Rubinstein, Ce Liu, William T. Freeman
European Conference on Computer Vision (ECCV), October 2012
Paper (pdf)

Patch Complexity, Finite Pixel Correlations and Optimal Denoising

Anat Levin, Boaz Nadler, Fredo Durand, William T. Freeman
European Conference on Computer Vision (ECCV), October 2012
Paper (pdf)

Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation

Forrester Cole, Phillip Isola, William T. Freeman, Fredo Durand, Edward Adelson
European Conference on Computer Vision (ECCV), October 2012
Paper (pdf)  :  Project website

Exploiting compositionality to explore a large space of model structures

Roger B. Grosse, Ruslan Salakhutdinov, William T. Freeman, and Joshua B. Tenenbaum
Conf. on Uncertainty in Artificial Intelligence (UAI), August 2012

Best Student Paper Prize

Paper (pdf)

Accidental pinhole and pinspeck cameras: revealing the scene outside the picture

Antonio Torralba and William T. Freeman
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2012
Paper (pdf)  :  Project website

Laser Speckle Photography for Surface Tampering Detection

YiChang Shih, Abe Davis, Sam Hasinoff, Fredo Durand, William T. Freeman
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2012
Paper (pdf)  :  Project website

CG2Real: Improving the Realism of Computer Generated Images using a Large Collection of Photographs

Micah K. Johnson, Kevin Dale, Shai Avidan, Hanspeter Pfister, William T. Freeman, Wojciech Matusik
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) 2011
Paper (pdf)  :  Project website

Diffuse Reflectance Imaging with Astronomical Applications

Sam Hasinoff, Anat Levin, Philip Goode and William T. Freeman
IEEE Intl. Conf. on Computer Vision (ICCV), 2011
Paper (pdf)  :  Project website

Evaluation of Image Features Using a Photorealistic Virtual World

Biliana Kaneva, Antonio Torralba, William Freeman
IEEE Intl. Conf. on Computer Vision (ICCV), 2011
Paper (pdf)  :  Project website  :  Video

A Perfect Match (technical perspective)

William T. Freeman
Communications of the ACM, November, 2011, vol. 54, no. 11
Paper (pdf)

Blur Kernel Estimation Using the Radon Transform

Taeg Sang Cho, Sylvain Paris, Bill Freeman, Berthold Horn
Proc. 23rd IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011
Paper (pdf)

Efficient Marginal Likelihood Optimization in Blind Deconvolution

A. Levin, Y. Weiss, F. Durand, and W. T. Freeman
IEEE Conf. on Computer Vision and Pattern Recognition, June 2011
Paper (pdf)

Motion Denoising with Application to Time-lapse Photography

Michael Rubinstein, Ce Liu, Peter Sand, Fredo Durand, Bill Freeman
Proc. 23rd IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011
Paper (pdf)  :  Project website

Where computer vision needs help from computer science

W. T. Freeman
ACM-SIAM Symposium on Discrete Algorithms, January, 2011
Paper (pdf)

Infinite Images: Creating and Exploring a Large Photorealistic Virtual Space

Biliana Kaneva, Josef Sivic, Antonio Torralba, Shai Avidan and William T. Freeman
Proceedings of the IEEE, volume 98, issue 8, pages 1391 - 1407, 2010
Paper (pdf)  :  Project website

Matching and Predicting Street Level Images

Biliana Kaneva, Josef Sivic, Antonio Torralba, Shai Avidan and William T. Freeman
Workshop for Vision on Cognitive Tasks, European Conf. on Computer Vision (ECCV) 2010
Paper (pdf)

Motion blur removal with orthogonal parabolic exposures

Taeg Sang Cho, Anat Levin, Fredo Durand, and William T. Freeman
Proc. IEEE Intl. Conf. on Computational Photography (ICCP), 2010
Paper (pdf)  :  Project website

Search-and-Replace Editing for Personal Photo Collections

Samuel W. Hasinoff, Martyna Jozwiak, Fredo Durand, and William T. Freeman
Proc. 2nd IEEE International Conference on Computational Photography, ICCP 2010, 8 pp.
Paper (pdf)  :  Project website

Nonparametric Belief Propagation

Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, and Alan S. Willsky
Communications of the ACM, October, 2010
Paper (pdf)

The Patch Transform

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

A Content-Aware Image Prior

T. S. Cho, N. Joshi, C. L. Zitnick, S. B. Kang, R. Szeliski and W. T. Freeman
Conf. on Computer Vision and Pattern Recognition (CVPR), June 2010
Paper (pdf)  :  Project website

A Probabilistic Image Jigsaw Puzzle Solver

T. S. Cho, S. Avidan and W. T. Freeman
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2010
Paper (pdf)  :  Project website

Analyzing Spatially-varying Blur

A. Chakrabarti, Todd Zickler and William T. Freeman
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2010
Paper (pdf)  :  Source code

Latent Hierarchical Structural Learning for Object Detection

L. Zhu, Y. Chen, A. Torralba, A. Yuille and W. T. Freeman
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2010
Paper (pdf)

Noise-Optimal Capture for High Dynamic Range Photography

Samuel W. Hasinoff, Fredo Durand, and William T. Freeman
Proc. 23rd IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2010
Paper (pdf)  :  Project website

Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection

L. Zhu, Y. Chen, A. Torralba, W. T. Freeman, and A. Yuille
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2010
Paper (pdf)

Using the Forest to See the Trees: Exploiting Context for Visual Object Detection and Localization

Antonio Torralba, Kevin Murphy and William T. Freeman
Communications of the ACM, March 2010, Vol. 53, No. 3
Paper (pdf)

Ground-truth dataset and baseline evaluations for intrinsic image algorithms

R. Grosse, M.K. Johnson, E.H. Adelson, and W.T. Freeman
International Conference on Computer Vision, 2009
Paper (pdf)  :  Project website

Nonparametric Bayesian Texture Learning and Synthesis

Long Zhu, Yuanhao Chen, William Freeman, Antonio Torralba
Neural Information Processing Systems (NIPS) 2009
Paper (pdf)

Segmenting Scenes by Matching Image Composites

B. C. Russell, A. A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman
Neural Information Processing Systems (NIPS) 2009
Paper (pdf)

Time-constrained Photography

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

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)

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

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

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
2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

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)

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

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)

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
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)

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)

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

Motion Magnification

Ce Liu, Antonio Torralba, William Freeman, Fredo Durand, and Edward Adelson
SIGGRAPH 2005
Paper (pdf)  :  Project website

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)

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

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)

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
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)

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)

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)

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)

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

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)

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)

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)

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)

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

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)

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)

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)

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)

Shape-Time Photography

W. T Freeman and H. Zhang
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)

Example-based super-resolution

William T. Freeman, Thouis R. Jones, and Egon C. Pasztor
IEEE Computer Graphics and Applications, March/April, 2002
Paper (pdf)  :  Project website

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)

Image quilting for texture synthesis and transfer

A. Efros and W. T Freeman
SIGGRAPH 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 local evidence for shading and reflectance

M. Bell and W. T. Freeman
International Conference on Computer Vision, Vancouver, BC, Canada, 2001
Paper (pdf)

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)

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)

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)

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)

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)

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)

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)

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)

Bayesian method for recovering surface and illuminant properties from photosensor responses

D. H. Brainard and W. T. Freeman
Human Vision, Visual Processing and Digital Display V, SPIE Proceedings Series, vol. 2179, 1994

Computer vision for computer graphics

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

Demonstration of an interactive environment for collaboration and learning

C. Rich, R. C. Waters, C. Strohecker, Y. Schabes, W. T. Freeman, M. C. Torrance, A. R. Golding, and M. Roth
IEEE Computer, Vol. 27, No. 12, Dec. 1994

The generic viewpoint assumption in a framework for visual perception

W. T. Freeman
Nature, vol. 368, p. 542 - 545, April 7, 1994
Paper (pdf)

Exploiting the generic view assumption to estimate scene parameters

W. T. Freeman
IEEE International Conference on Computer Vision, Berlin, Germany, 1993

Building and using catalogs of grey-level junctions

E. H. Adelson, P. Sinha, and W. T. Freeman
Proc. 15th European Conference on Visual Perception, Edinburgh, Scotland. August, 1993

Steerable Filters and Local Analysis of Image Structure

W. T. Freeman
Ph.D. Thesis, Massachusetts Institute of Technology, 1992
Paper (pdf)

Shiftable Multi-Scale Transforms

E. P. Simoncelli, W. T. Freeman, E. H. Adelson and D. J. Heeger
IEEE Trans. Information Theory, Special Issue on Wavelets. Vol. 38, No. 2, pp. 587-607, March 1992
Paper (pdf)

The design and use of steerable filters

W. T. Freeman and E. H. Adelson
IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 13, no. 9, pp. 891 - 906, September, 1991
Paper (pdf)

Motion without movement

W. T. Freeman, E. H. Adelson, and D. J. Heeger
ACM Computer Graphics, vol. 25, no. 4, (SIGGRAPH '91), pp. 27 - 30, July, 1991

A neural network for image noise removal

J. G. Chen, Q. Tian, and W. T. Freeman
1st National Conference on Neural Networks and their Applications, Beijing, 1990

(in Chinese)

Pyramids and multiscale representations

E. H. Adelson, E. P. Simoncelli, and W. T. Freeman
Proc. 13th European Conference on Visual Perception, Paris, 1990
Paper (pdf)

Steerable filters for early vision, image analysis, and wavelet decomposition

W. T. Freeman and E. H. Adelson
IEEE International Conference on Computer Vision, Osaka, Japan, 1990

Applications of neural networks in image processing

W. T. Freeman, J. G. Chen, and Q. Tian
Automation Soc. of China Symp. on Neural Networks, pp. 46 - 55, Beijing, 1989

(in Chinese)

Steerable filters

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

Image processing to remove grain from photographs

W. T. Freeman
Society of Photographic Scientists and Engineers 42nd Annual Conference, pp. 457 - 460, May, 1989

Computer Image Processing of STEM Images of Tobacco Mosaic Virus

E. J. Kirkland, W. T. Freeman, M. Ohtsuki, M. S. Isaacson, and B. S. Siegal
Ultramicroscopy 6, 367-76 (1981)

Deep Radio Occultations and 'Evolute Flashes': Their Characteristics and Utility for Planetary Studies

V. R. Eschleman, G. L. Tyler and W. T. Freeman
Icarus 37, 612-26 (1979)