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


06.2018 Ullrich Koethe, author of vigra, former Senior Scientist from this lab and a principal partner in crime in the past decade, has been promoted to Adjunct Professor in view of his accomplishments in research and education. Congratulations!

04.2018 We have compiled a list of lectures related to machine learning in the Heidelberg area.

04.2018 Still holding the top spots in the ISBI and CREMI connectomics segmentation challenges. Kudos to Constantin Pape, Steffen Wolf, Thorsten Beier, Nasim Rahaman & co!

01.2018 Anna Kreshuk has accepted a PI position at EMBL, will open her lab there in summer. Congratulations and best of luck!

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
    • Learned watershed. Wolf, Schott, Koethe, Hamprecht. ICCV 2017
    • 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]
    • 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]
  • 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).