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ICCV
2007
IEEE
16 years 8 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
ECCV
2004
Springer
16 years 8 months ago
Recognition by Probabilistic Hypothesis Construction
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Pierre Moreels, Michael Maire, Pietro Perona
IJCV
2006
112views more  IJCV 2006»
15 years 6 months ago
Non-Single Viewpoint Catadioptric Cameras: Geometry and Analysis
Conventional vision systems and algorithms assume the imaging system to have a single viewpoint. However, these imaging systems need not always maintain a single viewpoint. For ins...
Rahul Swaminathan, Michael D. Grossberg, Shree K. ...
TIP
2011
156views more  TIP 2011»
15 years 1 months ago
Geodesic Active Fields - A Geometric Framework for Image Registration
In this paper we present a novel geometric framework called geodesic active fields for general image registration. In image registration, one looks for the underlying deformation ...
Dominique Zosso, Xavier Bresson, Jean-Philippe Thi...
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang