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CVPR
2012
IEEE
13 years 5 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
230
Voted

Publication
336views
13 years 8 months ago
Feature Mining for Localised Crowd Counting
This paper presents a multi-output regression model for crowd counting in public scenes. Existing counting by regression methods either learn a single model for global counting, or...
Ke Chen, Chen Change Loy, Shaogang Gong, Tao Xiang...
135
Voted
ICCV
2007
IEEE
15 years 9 months ago
Dense Multiscale Motion Extraction from Cardiac Cine MR Tagging using HARP Technology
We propose an operational method to extract the left ventricle (LV) systole dynamics using HARmonic Phase (HARP) images extracted from tagged cardiac MR sequences. Established tec...
Luc Florack, Hans C. van Assen, Avan Suinesiaputra
149
Voted
VMV
2008
117views Visualization» more  VMV 2008»
15 years 4 months ago
High-speed Motion Analysis with Multi-Exposure Images
We propose a method to estimate dense motion vector fields from multi-exposure images. Our approach relies on finding a sparse set of correspondences between features in a single-...
Christian Linz, Timo Stich, Marcus A. Magnor
119
Voted
ICCV
1999
IEEE
16 years 5 months ago
Euclidean Reconstruction and Reprojection up to Subgroups
The necessary and sufficient conditions for being able to estimate scene structure, motion and camera calibration from a sequence of images are very rarely satisfied in practice. ...
Yi Ma, Stefano Soatto, Jana Kosecka, Shankar Sastr...