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» Structured Learning and Prediction in Computer Vision
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CVPR
2006
IEEE
14 years 2 months ago
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
ICCV
2003
IEEE
14 years 1 months ago
Modeling Textured Motion : Particle, Wave and Sketch
In this paper, we present a generative model for textured motion phenomena, such as falling snow, wavy river and dancing grass, etc. Firstly, we represent an image as a linear sup...
Yizhou Wang, Song Chun Zhu
CLOR
2006
13 years 11 months ago
Visual Classification by a Hierarchy of Extended Fragments
The chapter describes visual classification by a hierarchy of semantic fragments. In fragment-based classification, objects within a class are represented by common sub-structures ...
Shimon Ullman, Boris Epshtein
ICPR
2010
IEEE
13 years 11 months ago
Detecting Faint Compact Sources Using Local Features and a Boosting Approach
Several techniques have been proposed so far in order to perform faint compact source detection in wide field interferometric radio images. However, all these methods can easily mi...
Albert Torrent, Marta Peracaula, Xavier Llado, Jor...
ICCV
2009
IEEE
13 years 5 months ago
Realtime background subtraction from dynamic scenes
This paper examines the problem of moving object detection. More precisely, it addresses the difficult scenarios where background scene textures in the video might change over tim...
Li Cheng, Minglun Gong