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» Multiple Object Class Detection with a Generative Model
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ECCV
2010
Springer
15 years 2 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
IPCV
2007
15 years 4 months ago
Tracking Multiple Sports Players for Mobile Display
- An architecture system and a method for tracking people are presented for sports applications. The system’s input is video data from static camera and the output is the real wo...
Andreas Aristidou, Paul Pangalos, Hamid Aghvami
123
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ICCV
2007
IEEE
16 years 4 months ago
What, where and who? Classifying events by scene and object recognition
We propose a first attempt to classify events in static images by integrating scene and object categorizations. We define an event in a static image as a human activity taking pla...
Li-Jia Li, Fei-Fei Li 0002
IJCV
2008
151views more  IJCV 2008»
15 years 2 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
CCIA
2005
Springer
15 years 8 months ago
Classifying Natural Objects on Outdoor Scenes
We propose an hybrid and probabilistic classification of image regions belonging to scenes primarily containing natural objects, e.g. sky, trees, etc. as a first step in solving ...
Anna Bosch, Xavier Muñoz, Joan Martí...