User profiles for Yair Weiss
Yair WeissProfessor of Computer Science, Hebrew University Verified email at mail.huji.ac.il Cited by 53785 |
[PDF][PDF] Understanding belief propagation and its generalizations
“Inference” problems arise in statistical physics, computer vision, error-correcting coding
theory, and AI. We explain the principles behind the belief propagation (BP) algorithm, which is …
theory, and AI. We explain the principles behind the belief propagation (BP) algorithm, which is …
From learning models of natural image patches to whole image restoration
Learning good image priors is of utmost importance for the study of vision, computer vision
and image processing applications. Learning priors and optimizing over whole images can …
and image processing applications. Learning priors and optimizing over whole images can …
On spectral clustering: Analysis and an algorithm
Despite many empirical successes of spectral clustering methods (cid: 173) algorithms that
cluster points using eigenvectors of matrices de (cid: 173) rived from the data-there are …
cluster points using eigenvectors of matrices de (cid: 173) rived from the data-there are …
Seamless image stitching in the gradient domain
Image stitching is used to combine several individual images having some overlap into a
composite image. The quality of image stitching is measured by the similarity of the stitched …
composite image. The quality of image stitching is measured by the similarity of the stitched …
Spectral hashing
Semantic hashing seeks compact binary codes of datapoints so that the Hamming distance
between codewords correlates with semantic similarity. Hinton et al. used a clever …
between codewords correlates with semantic similarity. Hinton et al. used a clever …
A closed-form solution to natural image matting
Interactive digital matting, the process of extracting a foreground object from an image based
on limited user input, is an important task in image and video editing. From a computer …
on limited user input, is an important task in image and video editing. From a computer …
Loopy belief propagation for approximate inference: An empirical study
Recently, researchers have demonstrated that loopy belief propagation - the use of Pearls
polytree algorithm IN a Bayesian network WITH loops OF error- correcting codes.The most …
polytree algorithm IN a Bayesian network WITH loops OF error- correcting codes.The most …
Colorization using optimization
Colorization is a computer-assisted process of adding color to a monochrome image or
movie. The process typically involves segmenting images into regions and tracking these …
movie. The process typically involves segmenting images into regions and tracking these …
Constructing free-energy approximations and generalized belief propagation algorithms
…, WT Freeman, Y Weiss - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
Important inference problems in statistical physics, computer vision, error-correcting coding
theory, and artificial intelligence can all be reformulated as the computation of marginal …
theory, and artificial intelligence can all be reformulated as the computation of marginal …
Understanding and evaluating blind deconvolution algorithms
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel
is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of the …
is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of the …