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» Multiple Component Learning for Object Detection
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205
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FIMH
2009
Springer
15 years 4 months ago
Discriminative Joint Context for Automatic Landmark Set Detection from a Single Cardiac MR Long Axis Slice
Cardiac magnetic resonance (MR) imaging has advanced to become a powerful diagnostic tool in clinical practice. Automatic detection of anatomic landmarks from MR images is importan...
Xiaoguang Lu, Bogdan Georgescu, Arne Littmann, Edg...
169
Voted
MLDM
2005
Springer
15 years 12 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
201
Voted
CVPR
2006
IEEE
16 years 13 days ago
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
CVPR
2010
IEEE
15 years 11 months ago
Object Recognition as Ranking Holistic Figure-Ground Hypotheses
We present an approach to visual object-class recognition and segmentation based on a pipeline that combines multiple, holistic figure-ground hypotheses generated in a bottom-up,...
Fuxin Li, JoãCarreira, Cristian Sminchisescu
163
Voted
CCECE
2006
IEEE
16 years 13 days ago
A Modular Distributed Video Surveillance System Over IP
We present an automated and distributed real-time video surveillance system which can be used for the detection of objects and events in a wide range of applications. Video feeds ...
Drew Ostheimer, Sebastien Lemay, Mohammed Ghazal, ...