W. Freeman

Publications353
h-index104
Citations57,852
Highly Influential Citations4,603
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LabelMe: A Database and Web-Based Tool for Image Annotation
TLDR
A web-based tool that allows easy image annotation and instant sharing of such annotations is developed and a large dataset that spans many object categories, often containing multiple instances over a wide variety of images is collected. Expand
The Design and Use of Steerable Filters
  • W. Freeman, E. Adelson
  • Mathematics, Computer Science
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 1 September 1991
The authors present an efficient architecture to synthesize filters of arbitrary orientations from linear combinations of basis filters, allowing one to adaptively steer a filter to any orientation,… Expand
Constructing free-energy approximations and generalized belief propagation algorithms
TLDR
This work explains how to obtain region-based free energy approximations that improve the Bethe approximation, and corresponding generalized belief propagation (GBP) algorithms, and describes empirical results showing that GBP can significantly outperform BP. Expand
Image quilting for texture synthesis and transfer
TLDR
This work uses quilting as a fast and very simple texture synthesis algorithm which produces surprisingly good results for a wide range of textures and extends the algorithm to perform texture transfer — rendering an object with a texture taken from a different object. Expand
Eulerian video magnification for revealing subtle changes in the world
TLDR
Using the Eulerian Video Magnification method, the flow of blood as it fills the face is able to be visualize and the resulting signal is amplified to reveal hidden information. Expand
Understanding belief propagation and its generalizations
TLDR
It is shown that BP can only converge to a fixed point that is also a stationary point of the Bethe approximation to the free energy, which enables connections to be made with variational approaches to approximate inference. Expand
Example-Based Super-Resolution
TLDR
This work built on another training-based super- resolution algorithm and developed a faster and simpler algorithm for one-pass super-resolution that requires only a nearest-neighbor search in the training set for a vector derived from each patch of local image data. Expand
Removing camera shake from a single photograph
TLDR
This work introduces a method to remove the effects of camera shake from seriously blurred images, which assumes a uniform camera blur over the image and negligible in-plane camera rotation. Expand
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
TLDR
For certain classes that are particularly prevalent in the dataset, such as people, this work is able to demonstrate a recognition performance comparable to class-specific Viola-Jones style detectors. Expand
Image and depth from a conventional camera with a coded aperture
TLDR
A simple modification to a conventional camera is proposed to insert a patterned occluder within the aperture of the camera lens, creating a coded aperture, and introduces a criterion for depth discriminability which is used to design the preferred aperture pattern. Expand
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