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» Direct Sparse Deblurring
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211
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ICCV
2011
IEEE
14 years 25 days ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
127
Voted
AAAI
2011
14 years 25 days ago
Using Semantic Cues to Learn Syntax
We present a method for dependency grammar induction that utilizes sparse annotations of semantic relations. This induction set-up is attractive because such annotations provide u...
Tahira Naseem, Regina Barzilay
116
Voted
CVPR
2012
IEEE
13 years 3 months ago
D-Nets: Beyond patch-based image descriptors
Despite much research on patch-based descriptors, SIFT remains the gold standard for finding correspondences across images and recent descriptors focus primarily on improving spe...
Felix von Hundelshausen, Rahul Sukthankar
101
Voted
ICNP
2006
IEEE
15 years 6 months ago
Orthogonal Rendezvous Routing Protocol for Wireless Mesh Networks
— Routing in multi-hop wireless networks involves the indirection from a persistent name (or ID) to a locator. Concepts such as coordinate space embedding help reduce the number ...
Bow-Nan Cheng, Murat Yuksel, Shivkumar Kalyanarama...
114
Voted
RT
2004
Springer
15 years 6 months ago
A Spectral-particle hybrid method for rendering falling snow
Falling snow has the visual property that it is simultaneously a set of discrete moving particles as well as a dynamic texture. To capture the dynamic texture properties of fallin...
Michael S. Langer, Linqiao Zhang, Allison W. Klein...