- A probabilistic image jigsaw puzzle solver Taeg Sang Cho
- Noise-Optimal Capture for High Dynamic Range Photography Samuel W. Hasinoff Fredo Durand William T. Freeman
- Object Recognition by Scene Alignment Bryan C. Russell Antonio Torralba Ce Liu Rob Fergus William T. Freeman
- Recovering Intrinsic Images from a Single Image
- A Content-Aware Image Prior Taeg Sang Cho
- Shared features for multiclass object detection Antonio Torralba1
- Contextual models for object detection using boosted random fields
- Understanding camera trade-offs through a Bayesian analysis of light field projections
- Search-and-Replace Editing for Personal Photo Collections Samuel W. Hasinoff Martyna Jozwiak Fredo Durand William T. Freeman
- Understanding camera trade-offs through a Bayesian analysis of light field projections
- LabelMe: a database and web-based tool for image Bryan C. Russell, Antonio Torralba,
- Analysis of Contour Motions Ce Liu William T. Freeman Edward H. Adelson
- Removing Camera Shake from a Single Photograph Rob Fergus1 Barun Singh1 Aaron Hertzmann2 Sam T. Roweis2 William T. Freeman1
- An Ensemble Prior of Image Structure for Cross-modal Inference S. Ravela A. Torralba
- Learning Hierarchical Models of Scenes, Objects, and Parts Erik B. Sudderth, Antonio Torralba, William T. Freeman, and Alan S. Willsky
- Sharing Visual Features for Multiclass and Multiview
- DRAFT To appear with revisions in CVPR 2004 Efficient Graphical Models for Processing Images
- Shape-Time Photography William T. Freeman and Hao Zhang
- MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com
- Signal and Image Processing with Belief Propagation Erik B. Sudderth and William T. Freeman
- Learning Style Translation for the Lines of a Drawing WILLIAM T. FREEMAN
- Motion blur removal with orthogonal parabolic exposures Taeg Sang Cho, Anat Levin, Fredo Durand, William T. Freeman
- LabelMe: a database and web-based tool for image annotation
- Estimating Intrinsic Component Images using Non-Linear Regression Marshall F. Tappen Edward H. Adelson William T. Freeman
- Automatic Estimation and Removal of Noise from a Single Image
- A reliable skin mole localization scheme Taeg Sang Cho, William T Freeman
- SINGLE-FRAME TEXT SUPER-RESOLUTION: A BAYESIAN APPROACH Gerald Dalley1,2
- IN PRESS, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Sharing visual features for multiclass and multiview
- Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes
- Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
- Describing Visual Scenes using Transformed Dirichlet Processes
- Shape Recipes: Scene Representations that Refer
- Ground truth dataset and baseline evaluations for intrinsic image algorithms Roger Grosse Micah K. Johnson Edward H. Adelson William T. Freeman
- Motion Magnification Ce Liu Antonio Torralba William T. Freeman Fredo Durand Edward H. Adelson
- Steerable Filters and Local Analysis of Image Structure William Tafel Freeman
- Segmenting Scenes by Matching Image Composites Bryan C. Russell1
- Latent Hierarchical Structural Learning for Object Detection Long (Leo) Zhu1
- Unsupervised Discovery of Visual Object Class Hierarchies Josef Sivic1
- Published by the IEEE Computer Society 0272-1716/07/$25.00 2007 IEEE IEEE Computer Graphics and Applications 43 Computational Photography
- SIFT Flow: Dense Correspondence across Different Scenes
- The patch transform Taeg Sang Cho, Student Member, IEEE, Shai Avidan, Member, IEEE,
- Besag, J. (1986). On the statistical analysis of dirty pictures. J. R. Statist. Soc. B, 48(3):259302. Bishop, C. M. (1995). Neural networks for pattern recognition. Oxford.
- Nonparametric Belief Propagation and Facial
- To appear in the Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2010. c 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or prom
- ARTICLE Communicated by John Platt Separating Style and Content with Bilinear Models
- Computer Science and Artificial Intelligence Laboratory Technical Report
- Understanding and evaluating blind deconvolution algorithms Anat Levin1,2
- Exploiting the Sparse Derivative Prior for Super-Resolution and Image Demosaicing
- Discovering objects and their location in images Josef Sivic1
- Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection
- Learning Gaussian Conditional Random Fields for Low-Level Vision Marshall F. Tappen
- The patch transform and its applications to image editing Taeg Sang Cho
- Noise Estimation from a Single Image Ce Liu William T. Freeman
- Where computer vision needs help from computer science William T Freeman
