Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
I am a postdoctoral research associate at Computer Science & Engineering at the University of Washington and Intel Labs Seattle, working on Machine Learning and Computer Vision. Fr...
Camera networks have gained increased importance in
recent years. Previous approaches mostly used point correspondences
between different camera views to calibrate
such systems....
I am currently a 3rd year Ph.D. student and a research assistant working in the Computer Vision & Geometry Group of the Institut für Visual Computing at the Swiss Federal Institut...
Color is a powerful visual cue for many computer vision
applications such as image segmentation and object recognition.
However, most of the existing color models depend on the i...
Computer Vision Center and Autonomous University of Barcelona,
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José M. Álvarez received his B.Sc. degree in Telecommunications (2000), as well as his M.Sc. degree in Telecommunications (2005) from La Salle School of Engineering at Ramon Llu...
Recognizing multiple interleaved activities in a video requires implicitly partitioning the detections for each activity. Furthermore, constraints between activities are important ...
Central to many problems in scene understanding based on using a network of tens, hundreds or even thousands of randomly distributed cameras with on-board processing and wireless c...
Shubao Liu, Kongbin Kang, Jean-Philippe Tarel and ...
One source of difficulties when processing outdoor images is the presence of haze, fog or smoke which
fades the colors and reduces the contrast of the observed objects. We introdu...