Portrait

About

I am a postdoctoral fellow in computer vision at the Interdisciplinary Center for Scientific Computing within the University of Heidelberg. I recently graduated with my PhD from the Computer Science Department at the University of Arizona, supervised by Kobus Barnard. My research interests include computer vision and machine learning with a focus on probabilistic models for object recognition and scene understanding. I am also interested in algorithms for statistical inference of models from images and other scientific data. (more)


Education

PhD, Department of Computer Science, May 2010
University of Arizona
Learning 3-D Models of Object Structure from Images
MS, Department of Computer Science, May 2006
University of Arizona
Statistical Inference of Biological Structure in Images
BS, Department of Computer Science, May 2003
North Dakota State University
McNair Scholar Research: Autonomous Mission Planning for Unmanned Air Vehicles

Experience

Postdoctoral Fellow, Interdisciplinary Center for Scientific Computing
University of Heidelberg
Supervisor: Prof. Bjoern Ommer
Jan 2010 -- Present
Graduate Research Assistant, Department of Computer Science
University of Arizona
Supervisor: Prof. Kobus Barnard
Aug 2003 -- Dec 2009
Graduate Research Assistant, Arizona Research Labs
University of Arizona
Supervisor: Nirav Merchant, Director of Biotechnology Computing
Jun 2005 -- Dec 2009
Undergraduate Research Assistant, Department of Computer Science
North Dakota State University
Supervisor: Prof. Kendall Nygard
Nov 2001 -- Jun 2003

Publications

Contour-based Object Detection
J. Schlecht and B. Ommer
In Proceedings of the British Machine Vision Conference (BMVC), Sept 2011.
[PDF] [Summary]
Detecting Gestures in Medieval Images
J. Schlecht and B. Ommer
In IEEE International Conference on Image Processing (ICIP), Sept 2011.
[PDF]
Sampling Bedrooms
L. Del Pero, J. Guan, E. Ernesto, J. Schlecht and K. Barnard
In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2011.
[PDF]
Learning 3-D Models of Object Structure from Images
J. Schlecht
PhD Thesis, University of Arizona, May 2010.
[PDF]
Learning Models of Object Structure
J. Schlecht and K. Barnard
In Advances in Neural Information Processing Systems (NIPS), Dec 2009.
[PDF] [PS]
Learning Models of Object Structure
J. Schlecht and K. Barnard
Technical report, University of Arizona, 2009.
[PDF] [PS]
Machine Learning Approaches for Classifying Haplogroup from Y Chromosome STR Data
J. Schlecht, M. Kaplan, K. Barnard, T. Karafet, M. Hammer and N. Merchant
PLoS Computational Biology, 4(6): e1000093, June 2008.
[PDF] [HTML]
Inferring Grammar-based Structure Models in 3D Microscopy Data
J. Schlecht, K. Barnard, E. Spriggs and B. Pryor
In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Oral presentation, pp. 1-8, June 2007.
[PDF] [PS]
Statistical Inference of Biological Structure and Point Spread Functions in 3D Microscopy
J. Schlecht, K. Barnard and B. Pryor
In Third International Symposium on 3D Date Processing, Visualization and Transmission (3DPVT), Oral presentation, pp. 373-380, June 2006.
[PDF] [PS]
Decentralized Search by Unmanned Air Vehicles Using Local Communication
J. Schlecht, K. Altenburg, B. Md Ahmed and K. Nygard
In Proceedings of the International Conference on Artificial Intelligence (IC-AI), pp. 757-762, Oral presentation, June 2003.