Multimedia Computing and Computer Vision Lab

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Christian Eggert

From Multimedia Computing Lab - University of Augsburg


Main
  • Phone:
    • +49 (821) 598 2463
  • Room:
    • 1011, N

Research Interests

  • Compact image signatures
  • Large-scale image retrieval
  • Locality-sensitive hashing

Projects

  • Efficient Logo detection in real world images

GnuPG / OpenPGP Key

  • Public Key: Download
  • Key ID: C79A8C33
  • Fingerprint: 049D DF8F 1059 D06E 8777 63E5 D11D F5E3 C79A 8C33

Publications

  • Christian Eggert, Stephan Brehm, Anton Winschel, Dan Zecha, Rainer Lienhart, A Closer Look: Small Object Detection in Faster R-CNN, IEEE ICME 2017 Hong Kong, China, July 2017. to appear
  • Dan Zecha, Christian Eggert, Rainer Lienhart, Pose Estimation for Deriving Kinematic Parameters of Competitive Swimmers, Computer Vision Applications in Sports, part of IS&T Electronic Imaging 2017, Burlingame, California, January 2017. [PDF]
  • Christian Eggert, Anton Winschel, Dan Zecha, Rainer Lienhart, Saliency-guided Selective Magnification for Company Logo Detection, International Conference on Pattern Recognition 2016 (ICPR 2016), Cancun, December 2016. [PDF]
  • Anton Winschel, Rainer Lienhart, Christian Eggert, Diversity in Object Proposals, arXiv:1603.04308 [cs.CV], March 2016 [PDF]
  • Christian Eggert, Anton Winschel, Rainer Lienhart, On the Benefit of Synthetic Data for Company Logo Detection, ACM Multimedia 2015 (ACMMM 2015), Brisbane, October 2015. [PDF]
  • Fabian Richter, Christian Eggert, Rainer Lienhart, Fisher Vector Encoding of Micro Color Features for (Real World) Jigsaw Puzzles, IAPR International Conference on Document Analysis and Recognition (ICDAR 2015), Nancy, August 2015 (to appear)
  • Christian Eggert, Stefan Romberg, Rainer Lienhart, Improving VLAD: Hierarchical Coding and a refined Local Coordinate System, IEEE International Conference on Image Processing 2014, Paris, October 2014 [PDF]

Master Thesis

Implementation and Evaluation of the gPb Contour Detector [PDF]

Teaching