Research Interests
I am interested in many different research topics in the area of machine learning. Recently I have been particularly interested in
- Bayesian Experimental Design
- Active Learning
- Direct Policy Search
- Particle Filtering
- Applications in Computer Graphics and Vision
Publications
Learning to Recognize Objects with Little Supervision
International Journal of Computer Vision, vol.7, pages 219-237, 2008
[PDF]
SMC Samplers for Bayesian Optimal Nonlinear Design
Nonlinear Statistical Signal Processing Workshop (NSSPW), 2006
[PDF]
Source Code
A Semi-Supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues
Toward Category-Level Object Recognition, pages 277-300. 2006
[PDF]
Learning about individuals from group statistics
Conference on Uncertainty in Artificial Intelligence (UAI), 2005
[PDF]
A Constrained Semi-Supervised Learning Approach to Data Association
European Conference on Computer Vision (ECCV), 2004
[PDF]
[PPT Slides]
Shape from Contours and Multiple Stereo - A Hierarchical, Mesh-Based Approach
Canadian Conference on Computer and Robot Vision (CRV), 2004
[PDF]
[PPT Slides]
Simulation and Rendering of Liquid Foams
Graphics Interface (GI), 2002
[PDF]
[example movie (DivX avi) / 6.7 MB]
[PPT Slides]
A Warping-based Refinement of Lumigraphs
7th International Conference in Central Europe on Computer Graphics,
Visualization and Interactive Digital Media (WSCG-99)
[PDF]
Theses
MSc. thesis
Bayesian Formulations of Multiple Instance Learning
with Applications to General Object Recognition
[PDF]
Diploma thesis
From Photos to Triangles - Mesh Reconstruction using Silhouettes
and Multiple Stereo
[PDF]
Studienarbeit (4th year thesis) in German
Simulation von Beleuchtungsefffekten bei Schäumen
[PDF]