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» Learning to Recognize Objects from Unseen Modalities
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CVPR
2003
IEEE
15 years 11 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICCV
2011
IEEE
13 years 9 months ago
Learning Cross-modality Similarity for Multinomial Data
Many applications involve multiple-modalities such as text and images that describe the problem of interest. In order to leverage the information present in all the modalities, on...
Yangqing Jia, Mathieu Salzmann, Trevor Darrell
77
Voted
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
15 years 10 months ago
Generalized component analysis for text with heterogeneous attributes
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Xuerui Wang, Chris Pal, Andrew McCallum
SPIESR
2004
196views Database» more  SPIESR 2004»
14 years 11 months ago
Automatic textual annotation of video news based on semantic visual object extraction
In this paper, we present our work for automatic generation of textual metadata based on visual content analysis of video news. We present two methods for semantic object detectio...
Nozha Boujemaa, François Fleuret, Val&eacut...
84
Voted
ECCV
2006
Springer
15 years 11 months ago
Face Recognition from Video Using the Generic Shape-Illumination Manifold
Abstract. In spite of over two decades of intense research, illumination and pose invariance remain prohibitively challenging aspects of face recognition for most practical applica...
Ognjen Arandjelovic, Roberto Cipolla