Sebastian Nowozin

Welcome!

My name is Sebastian Nowozin and I am researcher at Microsoft Research, Cambridge, UK. On this page you find publications and software related to my work.

News

  • November 2011. Hard discrete energy minimization instances, resulting from Decision Tree Fields, are available for download.
  • October 2011. PhD scholarships in the area of machine learning and high-level computer vision available, as part of a joint program between the Max-Planck society and Microsoft Research Cambridge. More details here.
  • June 2011. The CVPR tutorial on structured learning and prediction are online now.

Research

My main research interest is in developing machine learning techniques suitable for solving high-level computer vision tasks, such as image classification and object recognition.

High-level computer vision tasks are a unique source of hard machine learning problems for three reasons. First, in contrast to physics-based processes we do not know the correct model (model uncertainty). Second, humans excel at all high-level vision tasks and thus can provide data and assess model performance (ground truth oracle). Third, image and video data is available for free at an enormous scale (data availability). These properties make computer vision a particularly attractive area for machine learning research.

I am particularly interested in using mathematical optimization as a tool to solve computer vision machine learning tasks.

Publications and related materials

2011

2010

2009

2008

2007

Software

  • Tuwo - C++ computer vision library
  • gboost - graph mining and classification
  • pboost - sequence mining and classification
  • freqgeo - geometric subgraph mining
  • infex - exemplar-based models for unsupervised learning

Archive

Contact

You can reach me by email at nowozin@gmail.com.