Multimedia Computing and Computer Vision Lab












Student Theses


Source Code / Datasets




Christian Eggert

From Multimedia Computing Lab - University of Augsburg

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

Research Interests

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

GnuPG / OpenPGP Key

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


  • Dan Zecha, Christian Eggert, Moritz Einfalt, Stephan Brehm, Rainer Lienhart.
    A Convolutional Sequence to Sequence Model for Multimodal Dynamics Prediction in Ski Jumps.
    First International ACM Workshop on Multimodal Content Analysis in Sports (ACM MMSports'18), part of ACM Multimedia 2018. Seoul, Korea, October 2018. TO APPEAR.
  • Dan Zecha, Moritz Einfalt, Christian Eggert, Rainer Lienhart.
    Kinematic Pose Rectification for Performance Analysis and Retrieval in Sports.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2018. Salt Lake City, USA, June 2018. [PDF]
  • Philipp Harzig, Christian Eggert, Rainer Lienhart Visual Question Answering With a Hybrid Convolution Recurrent Model, ACM International Conference on Multimedia Retrieval 2018 (ACM ICMR 2018) Yokohama, June 2018, to appear
  • 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. [PDF]
  • Christian Eggert, Stephan Brehm, Dan Zecha, Rainer Lienhart, Improving Small Object Proposals for Company Logo Detection, ACM ICMR 2017 Bucharest, Romania, June 2017. [arXiv] [PDF]
  • 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]