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» Learning Hierarchical Models of Scenes, Objects, and Parts
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CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
15 years 11 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
NIPS
2000
14 years 11 months ago
Modelling Spatial Recall, Mental Imagery and Neglect
We present a computational model of the neural mechanisms in the parietal and temporal lobes that support spatial navigation, recall of scenes and imagery of the products of recal...
Suzanna Becker, Neil Burgess
PAMI
2012
13 years 6 days ago
Unsupervised Learning of Categorical Segments in Image Collections
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
NPAR
2010
ACM
15 years 2 months ago
Sisley the abstract painter
We present an interactive abstract painting system named Sisley. Sisley works upon the psychological principle [Berlyne 1971] that abstract arts are often characterized by their gr...
Mingtian Zhao, Song Chun Zhu
ECCV
2002
Springer
15 years 11 months ago
Learning to Parse Pictures of People
The detection of people is one of the foremost problems for indexing, browsing and retrieval of video. The main difficulty is the large appearance variations caused by action, clot...
Rémi Ronfard, Cordelia Schmid, Bill Triggs