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ECCV
2010
Springer
13 years 6 months ago
Voting by Grouping Dependent Parts
Hough voting methods efficiently handle the high complexity of multiscale, category-level object detection in cluttered scenes. The primary weakness of this approach is however t...
Pradeep Yarlagadda, Antonio Monroy and Bjorn Ommer
121
Voted
ICCV
2011
IEEE
13 years 6 months ago
Video Parsing for Abnormality Detection
Detecting abnormalities in video is a challenging problem since the class of all irregular objects and behaviors is infinite and thus no (or by far not enough) abnormal training sa...
Borislav Antic, Bjorn Ommer
148
Voted
TOG
2012
265views Communications» more  TOG 2012»
13 years 3 months ago
Tailored displays to compensate for visual aberrations
We introduce tailored displays that enhance visual acuity by decomposing virtual objects and placing the resulting anisotropic pieces into the subject’s focal range. The goal is...
Vitor F. Pamplona, Manuel M. Oliveira, Daniel G. A...
SIGIR
2012
ACM
13 years 3 months ago
Evaluating aggregated search pages
Aggregating search results from a variety of heterogeneous sources or verticals such as news, image and video into a single interface is a popular paradigm in web search. Although...
Ke Zhou, Ronan Cummins, Mounia Lalmas, Joemon M. J...
148
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CVPR
2009
IEEE
16 years 7 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...