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ICCV
2011
IEEE
12 years 7 months 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
ICCV
2011
IEEE
12 years 7 months ago
Video Primal Sketch: A Generic Middle-Level Representation of Video
This paper presents a middle-level video representation named Video Primal Sketch (VPS), which integrates two regimes of models: i) sparse coding model using static or moving prim...
Zhi Han, Zongben Xu, Song-Chun Zhu
CVPR
2012
IEEE
11 years 10 months ago
Beyond spatial pyramids: Receptive field learning for pooled image features
In this paper we examine the effect of receptive field designs on classification accuracy in the commonly adopted pipeline of image classification. While existing algorithms us...
Yangqing Jia, Chang Huang, Trevor Darrell
CVPR
2012
IEEE
11 years 10 months ago
Online continuous stereo extrinsic parameter estimation
Stereo visual odometry and dense scene reconstruction depend critically on accurate calibration of the extrinsic (relative) stereo camera poses. We present an algorithm for contin...
Peter Hansen, Hatem Alismail, Peter Rander, Brett ...
GG
2008
Springer
13 years 8 months ago
Transformation-Based Operationalization of Graph Languages
Graph Languages1 emerged during the seventies from the necessity to process data structures with complex interrelations. Nowadays, various variants of these languages can be found...
Erhard Weinell