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

Fred A. Hamprecht


Fred A. Hamprecht

In the winter semester of 2014, I am on sabbatical as a Weston Visiting Professor at the
Department of Applied Mathematics and Computer Science,
Weizmann Instite of Science

My academic home is the
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
fred.hamprecht@iwr.uni-heidelberg.de

Research / Scientific Interests

Publications

  • Full list
  • Selected recent
    • 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




Last update: 19.10.2014, 09:56
zum Seitenanfang