CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Given a multi-exposure sequence of a scene, our aim is to recover the absolute irradiance falling onto a linear camera sensor. The established approach is to perform a weighted av...
CVPR
2010
IEEE
2010
IEEE
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition
14 years 5 months ago
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Optical character recognition (OCR) remains a difficult problem for noisy documents or documents not scanned at high resolution. Many current approaches rely on stored font models...
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I am a fourth year Ph.D. student in Computer Science Department of UCLA, member of VisionLab and my advisor is Prof. Stefano Soatto.
Previously, I did my undergraduate studies at ...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Objects are usually embedded into context. Visual context has been successfully used in object detection tasks, however, it is often ignored in object tracking. We propose a metho...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...