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CVPR
2007
IEEE
14 years 12 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
JMLR
2010
154views more  JMLR 2010»
13 years 4 months ago
Infinite Predictor Subspace Models for Multitask Learning
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Piyush Rai, Hal Daumé III
CVPR
2007
IEEE
14 years 12 months ago
Groupwise Shape Registration on Raw Edge Sequence via A Spatio-Temporal Generative Model
Groupwise shape registration of raw edge sequence is addressed. Automatically extracted edge maps are treated as noised input shape of the deformable object and their registration...
Huijun Di, Rao Naveed Iqbal, Guangyou Xu, Linmi Ta...
ICMCS
1999
IEEE
202views Multimedia» more  ICMCS 1999»
14 years 2 months ago
A Human-Assisted System to Build 3-D Models from a Single Image
We present a system at the junction between Computer Vision and Computer Graphics, to produce a 3-D model of an object as observed in a single image, with a minimum of high-level ...
Alexandre R. J. François, Gérard G. ...
ICCV
2005
IEEE
14 years 11 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman