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M.Sc. Kun Liu
刘坤

Chair of Pattern Recognition and Image Processing
Institute for Computer Science
Albert-Ludwigs-University
Georges-Koehler-Allee 052, room 01-021
D-79110 Freiburg i.Br., Germany
Telefon: +49-(0)761-203-8273
Fax: +49-(0)761-203-8262
Email: liu AT informatik.uni-freiburg.de

Scientific Interests

  • Invariance in Image Analysis

  • Object detection and segmentation

  • Biomedical image analysis

Projects

CV

  • From Jul. 2010, Ph.D. student, Chair of Pattern Recognition and Image Processing, Computer Science Department, University of Freiburg

  • Sep. 2007 - Mar. 2010, Master Degree, Institute of Image Processing and Pattern Recognition, SJTU.
    Link to homepage (last update: Jan 2010).

  • Sep. 2003 - Jun. 2007, Bachelor Degree, Department of Automation, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University (SJTU)

Publications

2014
Journal
Thorsten Schmidt, T. Pasternak, Kun Liu, T. Blein, D. Aubry-Hivet, A. Dovzhenko, J. Dürr, W. Teale, F. Ditengou, Hans Burkhardt, Olaf Ronneberger, K. Palme
The Plant Journal, 77(5): 806--814, Mar 2014


Conference

Kun Liu, S. Lienkamp, A. Shindo, J. Wallingford, G. Walz, Olaf Ronneberger
IEEE International Symposium on Biomedical Imaging (ISBI): 298--301, 2014

Others

 
2013

Conference

Kun Liu, Thorsten Schmidt, T. Blein, J. Dürr, K. Palme, Olaf Ronneberger
IEEE International Symposium on Biomedical Imaging (ISBI): 422--425, 2013
 
2012
Journal


S. Lienkamp, Kun Liu, C. Karner, T. Carroll, Olaf Ronneberger, J. Wallingford, G. Walz
Nature Genetics, 44(12): 1382--1387, Dec 2012

S. Ernst, Kun Liu, S. Agarwala, N. Moratscheck, M. Avci, D. Nogare, A. Chitnis, Olaf Ronneberger, V. Lecaudey
Development, 139(24): 4571--4581, 2012

Conference


IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
 
2011

Conference



Teaching



Master Thesis

Key techniques in Video Surveillance

Subtasks:

  • Object detection and tracking

  • Abnormal behaviour detection and Analysis of trajectories

  • Matching people across different tracks