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219
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CVPR
2012
IEEE
13 years 9 months ago
Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to learn the collective behavior patterns of pedestrians in crowded scenes. Collective behaviors ...
Bolei Zhou, Xiaogang Wang, Xiaoou Tang
CVPR
2007
IEEE
16 years 9 months ago
Stereo Matching via Disparity Estimation and Surface Modeling
Two new techniques are proposed to improve stereo matching performance in this work. First, to address the disparity discontinuity problem in occluded regions, we present a dispar...
Jong Dae Oh, Siwei Ma, C. C. Jay Kuo
CVPR
2008
IEEE
16 years 9 months ago
Discriminative modeling by Boosting on Multilevel Aggregates
This paper presents a new approach to discriminative modeling for classi cation and labeling. Our method, called Boosting on Multilevel Aggregates (BMA), adds a new class of hiera...
Jason J. Corso
193
Voted
ICCV
2007
IEEE
16 years 8 months ago
From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle
Reliable segmentation of the left ventricle is a long sought objective in medical imaging for automatic retrieval of anatomical and pathological measurements and detection of malf...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
MICCAI
2009
Springer
16 years 8 months ago
A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI
We present a novel fuzzy region-based hidden Markov model (frbHMM) for unsupervised partial-volume classification in brain magnetic resonance images (MRIs). The primary contributio...
Albert Huang, Rafeef Abugharbieh, Roger Tam