Homepage of Prof. Fred Hamprecht - Bioimage analysis, Machine Learning
Ruprecht-Karls-Universitšt Heidelberg
HCI->MIP->People-> Fred A. Hamprecht

Fred A. Hamprecht

Robert-Bosch endowed Professor for
Image Analysis and Learning (IAL)
Interdisciplinary Center for Scientific Computing (IWR) and
Department of Physics and Astronomy
Heidelberg Collaboratory for Image Processing (HCI)
Speyerer Straße 6; D-69115 Heidelberg
Tel: +49-6221-54 88 00; Lab Manager B. Werner: +49-6221-54 88 01

Next office hours:
by email appointment


  • 28.01.2016: We are on top of the Connectomics Challenge Leaderboards both for the ISBI 2012 and the SNEMI 3D challenges. Congratulations to the whole team, and Constantin Pape in particular!
  • Brilliant applications are invited for a PhD student (full) position in this field.

Research / Scientific Interests


I have the good luck of working with great people who are both talented and friendly: lab.


  • Full list
  • Selected recent
    • A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems J. H. Kappes, B. Andres, F. A. Hamprecht, C. Schnörr, S. Nowozin, D. Batra, S. Kim, B. X. Kausler, T. Kröger, J. Lellmann, N. Komodakis, B. Savchynskyy, C. Rother.
      IJCV 2015 [10.1007/s11263-015-0809-x | Technical Report | BibTeX]
    • Fusion Moves for Correlation Clustering T. Beier, F. A. Hamprecht, J. H. Kappes.
      CVPR 2015 [Technical Report | BibTeX]
    • Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell M. Schiegg, P. Hanslovsky, C. Haubold, U. Köthe, L. Hufnagel, F. A. Hamprecht.
      Bioinformatics 2015 [10.1093/bioinformatics/btu764 | Technical Report | URL | BibTeX]
    • Sparse Space-Time Deconvolution for Calcium Image Analysis F. Diego, F. A. Hamprecht
      NIPS 2014 [Technical Report | BibTeX]
    • Tracking indistinguishable translucent objects over time using weakly supervised structured learning. L. Fiaschi, F. Diego, K. Gregor, M. Schiegg, U. Köthe, M. Zlatic, F. A. Hamprecht.
      CVPR 2014, oral [10.1109/CVPR.2014.356 | Technical Report | BibTeX]
    • Learning Multi-Level Sparse Representation F. Diego, F. A. Hamprecht
      NIPS 2013
      [Technical Report | BibTeX]
    • Conservation Tracking M. Schiegg, P. Hanslovsky, B. X. Kausler, L. Hufnagel, F. A. Hamprecht
      ICCV 2013 [10.1109/ICCV.2013.364 | Technical Report | BibTeX]
    • Weakly supervised learning of image partitioning using decision trees with structured split criteria C. Straehle, U. Köthe, F. A. Hamprecht
      ICCV 2013, oral [10.1109/ICCV.2013.232 | Technical Report | BibTeX]
    • K-smallest Spanning Tree Segmentations C. Straehle, S. Peter, U. Köthe, F. A. Hamprecht
      GCPR 2013, award [Technical Report | BibTeX | Slides]
    • Globally Optimal Closed-Surface Segmentation for Connectomics B. Andres, T. Kröger, K. L. Briggmann, W. Denk, N. Norogod, G. Knott, U. Köthe, F. A. Hamprecht
      ECCV 2012 [10.1007/978-3-642-33712-3_56 | Technical Report | BibTeX]
    • Structured Learning from Partial Annotations X. Lou, F. A. Hamprecht
      ICML 2012 [Technical Report | BibTeX]
  • Old favorites
    • Optimal lattices for sampling H. R. Künsch, E. Agrell, F. A. Hamprecht IEEE Transactions on Information Theory, (2005) [10.1109/TIT.2004.840864]
    • Development and assessment of new exchange-correlation functionals F. A. Hamprecht, A. J. Cohen, D. J. Tozer, N. C. Handy Journal of Chemical Physics, (1998) [10.1063/1.477267]

Teaching in winter semester 2015

An Invitation to Image Analysis and Pattern Recognition. Part 1 of 6 of a script I have started to write before having kids (current version: 26.09.2010). To be continued in 2035 or so.

Pattern Recognition Video Lectures (Summer Term 2012). Full playlist here.

Image Analysis Video Lectures (Summer Term 2013 / 2015). Full playlist here.

Last update: 28.01.2016, 18:49
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