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» Learning Hierarchical Models of Scenes, Objects, and Parts
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ICRA
2009
IEEE
167views Robotics» more  ICRA 2009»
15 years 4 months ago
Articulated object tracking by rendering consistent appearance parts
— We describe a general methodology for tracking 3-dimensional objects in monocular and stereo video that makes use of GPU-accelerated filtering and rendering in combination wit...
Zachary A. Pezzementi, Sandrine Voros, Gregory D. ...
ICCV
2011
IEEE
13 years 9 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
CLOR
2006
15 years 1 months ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams
RT
2000
Springer
15 years 1 months ago
Hierarchical Instantiation for Radiosity
We present the concept of hierarchical instantiation for radiosity. This new method enables an efficient, yet accurate determination of the illumination in very large scenes, wher...
Cyril Soler, François X. Sillion
ICIAP
2007
ACM
15 years 9 months ago
Natural scenes categorization by hierarchical extraction of typicality patterns
Natural scene categorization of images represents a very useful task for automatic image analysis systems in a wide variety of applications. In the literature, several methods hav...
Alessandro Perina, Marco Cristani, Vittorio Murino