CVPR
2012
IEEE
12 years 4 months ago
2012
IEEE
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
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Homepage ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
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...
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172
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172
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WACV
2012
IEEE
12 years 7 months ago
2012
IEEE
We present a novel method to upsample mobile LiDAR data using panoramic images collected in urban environments. Our method differs from existing methods in the following aspects: ...
WACV
2012
IEEE
12 years 7 months ago
2012
IEEE
Crowd-sourcing tools such as Mechanical Turk are popular for annotation of large scale image data sets. Typically, these annotations consist of bounding boxes or coarse outlines o...
WACV
2012
IEEE
12 years 7 months ago
2012
IEEE
The use of depth is becoming increasingly popular in real-time computer vision applications. However, when using real-time stereo for depth, the quality of the disparity image is ...
WACV
2012
IEEE
12 years 7 months ago
2012
IEEE
We present a novel algorithm that takes as input an uncalibrated unordered set of spherical panoramic images and outputs their relative pose up to a global scale. The panoramas co...
WACV
2012
IEEE
12 years 7 months ago
2012
IEEE
The growing ubiquity of cameras in hand-held devices and the prevalence of electronic displays in signage creates a novel framework for wireless communications. Traditionally, the...
WACV
2012
IEEE
12 years 7 months ago
2012
IEEE
We present a novel algorithm, Compact Kd-Trees (CompactKdt), that achieves state-of-the-art performance in searching large scale object image collections. The algorithm uses an or...