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William T. Freeman

Researcher at Massachusetts Institute of Technology

Publications -  470
Citations -  80616

William T. Freeman is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Computer science & Object (computer science). The author has an hindex of 113, co-authored 432 publications receiving 69007 citations. Previous affiliations of William T. Freeman include Google & Mitsubishi Electric.

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Journal ArticleDOI

LabelMe: A Database and Web-Based Tool for Image Annotation

TL;DR: In this article, a large collection of images with ground truth labels is built to be used for object detection and recognition research, such data is useful for supervised learning and quantitative evaluation.
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The design and use of steerable filters

TL;DR: 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, and to determine analytically the filter output as a function of orientation.
Proceedings ArticleDOI

Image quilting for texture synthesis and transfer

TL;DR: 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.
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First M87 Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole

Kazunori Akiyama, +406 more
TL;DR: In this article, the Event Horizon Telescope was used to reconstruct event-horizon-scale images of the supermassive black hole candidate in the center of the giant elliptical galaxy M87.
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Example-based super-resolution

TL;DR: 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.