Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
Ashish Kapoor, Chris Mario Christoudias, Raquel Ur...
Recognizing object classes and their 3D viewpoints is an
important problem in computer vision. Based on a partbased
probabilistic representation [31], we propose a new
3D object...
Atmospheric conditions induced by suspended particles,
such as fog and haze, severely degrade image quality.
Restoring the true scene colors (clear day image) from a
single imag...
In recent years the Markov Random Field (MRF) has
become the de facto probabilistic model for low-level vision
applications. However, in a maximum a posteriori
(MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...
We consider the problem of determining functions of an image of an object that are insensitive to illumination changes. We rst show that for an object with Lambertian r e e ctanc ...
Hansen F. Chen, Peter N. Belhumeur, David W. Jacob...