E-Mail: swoboda (at) math.uni (minus) heidelberg.de
Maximum Persistency via Iterative Relaxed Inference with Graphical Models
Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy, CVPR 2015. pdf bib
project page: Persistency via Iterative Relaxed Inference.
Partial Optimality by Pruning for MAP-inference with General Graphical Models
Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes and Christoph Schnörr, CVPR 2014. pdf bib
Accompanying code: Persistency by Pruning.
Region Covariance Descriptors implemented in pure Matlab as described in "Region Covariance: A Fast Descriptor for Detection and Classification" by Oncel Tuzel, Fatih Porikli, and Peter Meer, ECCV 2006: Region covariance descriptor.
ipa - Image and Pattern Analysis Group
Department of Mathematics and Computer Science
University of Heidelberg
Speyerer Str. 6, room G 2.07
69115 Heidelberg, Germany
Voice: (+49) 6221 - 54 5272