An unsupervised method is proposed aiming at extracting rhythmic sources from commercial polyphonic music whose number of channels is limited to one. Commercial music signals are ...
We present a method for computing normals and colors from multiple sets of photometric data, that are consistent with each other and an underlying lower resolution mesh. Normals a...
We present an approach to automatically retrieve and extract lyrics of arbitrary songs from the Internet. It is intended to provide easy and convenient access to lyrics for users,...
Working with IBR/BTF data requires a complete calibration. Modern setups speed up recordings by using multiple lamps and cameras. Therefore, the calibration task gets more time co...
Alexander Neubeck, Alexey Zalesny, Luc J. Van Gool
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...