Fred A. Hamprecht

Robert-Bosch endowed Professor for
Image Analysis and Learning
Interdisciplinary Center for Scientific Computing (IWR) and
Department of Physics and Astronomy
Heidelberg Collaboratory for Image Processing (HCI)
Im Neuenheimer Feld 205, 04.312; D-69120 Heidelberg
Tel: +49-6221-54 14 803; Lab Manager Barbara Werner: +49-6221-54 14 833


We currently occupy the top three spots in the ISBI Connectomics Segmentation challenge. Kudos to Thorsten Beier, Constantin Pape, Nasim Rahaman & co!

Scientific Interests


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

PhD student wanted -- if you are passionate about science, if you want to make a difference, if you have made first contributions to one of {optimization, machine learning, computer vision} -- then please get in touch.

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.


Love science. Love cycling. Hate busybodies.


  • Full list
  • Selected
    • Multicut brings automated neurite segmentation closer to human performance. Beier, T, Pape, C, Rahaman, N, Prange, T, Berg, S, Bock, D, Cardona, A, Knott, G W, Plaza, S M, Scheffer, L K, Köthe, U, Kreshuk, A and Hamprecht, F A.
      Nature Methods (2017) [10.1038/nmeth.4151]
    • 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]
    • 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]
    • 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]


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, including some added material (scroll to last entries).