Convolutional Filter Learning

A. Sironi; B. Tekin; R. Rigamonti; V. Lepetit; P. Fua : Learning Separable Filters; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2015. DOI : 10.1109/Tpami.2014.2343229.
R. Rigamonti; V. Lepetit; G. González; E. Türetken; F. Benmansour et al. : On the Relevance of Sparsity for Image Classification; Computer Vision and Image Understanding. 2014. DOI : 10.1016/j.cviu.2014.03.009.
R. Rigamonti; V. Lepetit : Accurate and Efficient Linear Structure Segmentation by Leveraging Ad Hoc Features with Learned Filters. 2012. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, October 1-5, 2012.
R. Rigamonti; M. Brown; V. Lepetit : Are Sparse Representations Really Relevant for Image Classification?. 2011. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs. p. 1545-1552.
R. Rigamonti; E. Türetken; G. González Serrano; P. Fua; V. Lepetit : Filter Learning for Linear Structure Segmentation. 2011.


The code is released under the terms of the GNU General Public License (GPL), version 3.0.