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
Multidimensional Image Processing
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:
02.06.2015 16:00 or by email appointment


PostDoc wanted -- if you love science and have published in the kind of venues that we do, or have done more theoretical work -- then please write to me.

Research / Scientific Interests


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


  • Full list
  • Selected recent
    • Sparse Space-Time Deconvolution for Calcium Image Analysis F. Diego, F. A. Hamprecht
      NIPS 2014 [Technical Report | BibTeX]
    • Learning to disambiguate indistinguishable 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 [BibTeX]
    • Cut, Glue & Cut: A Fast, Approximate Solver for Multicut Partitioning T. Beier, T. Kröger, J. H. Kappes, U. Köthe, F. A Hamprecht
      CVPR 2014, oral [BibTeX]
    • Learning Multi-Level Sparse Representation F. Diego, F. A. Hamprecht
      NIPS 2013 [BibTeX]
    • Conservation Tracking M. Schiegg, P. Hanslovsky, B. X. Kausler, L. Hufnagel, F. A. Hamprecht
      ICCV 2013 [BibTeX]
    • Weakly supervised learning of image partitioning using decision trees with structured split criteria C. Straehle, U. Köthe, F. A. Hamprecht
      ICCV 2013, oral
    • K-smallest Spanning Tree Segmentations C. Straehle, S. Peter, U. Köthe, F. A. Hamprecht
      GCPR 2013, award [Technical Report | BibTeX | Slides]
    • A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems J. H. Kappes, B. Andres, F. A. Hamprecht, C. Schnörr, S. Nowozin, D. Batra, K. Sungwoong, B. X. Kausler, J. Lellmann, N. Komodakis, C. Rother
      CVPR 2013 [Technical Report | BibTeX]
    • 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 [Technical Report]
    • Structured Learning from Partial Annotations X. Lou, F. A. Hamprecht
      ICML 2012 [Technical Report]
    • Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data J. Funke, B. Andres, F. A. Hamprecht, A. Cardona, M. Cook
      CVPR 2012 [Technical Report]
  • 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 summer 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). Full playlist here.

Last update: 28.05.2015, 14:01
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