About Me

Since october 2008, I am postdoc in Professor Trevor Darrell's vision group at the Internation Computer Science Institue (ICSI) as well as at UC Berkeley. I was awarded a Feodor Lynen Fellowship of the Alexander von Humboldt Foundation. Before finishing my Ph.D. in computer science in August 2008 under the supervision of Professor Bernt Schiele at TU Darmstadt, I spent a year at KTH in the group of Professor Jan-Olof Eklundh.

Research

I have been working in diverse areas of computer vision. My main focus during my Ph.D. was on recognition, detection and tracking of visual object categories. In particular, I was investigating different ways of providing supervision, combining different feature characteristics and modeling visual categories. Currently, I am very excited about addressing challenges in computer vision and machine learning that enable us to build computer vision systems that combine multiple modalities in order to address problems relevant to applications in robotics.

Teaching & Theses

I was fortuned to meet many excellent students during the courses I TA'ed at Darmstadt:

• Exercises to Machine Learning 2007
• Exercises to Machine Learning 2005/2006
  
• Seminar: Computer Vison and Machine Learning 2005
  
• Seminar: Machine Learning and Data Mining in Practice 2004/2005
  
• Exercises to Statistical Pattern Recognition 2004/2005

... some of which I got the chance to work with during their theses:

• Paul Schnitzspan: Application of Conditional Random Fields in Computer Vision
• Nikodem Majer: Pictorial Structure based Spatial Models for Object Categorization
• Sandra Ebert: Dirichlet Process Mixture Models for Object Categorization
  

©2009 Mario Fritz Valid XHTML & CSS