Multimedia Computing and Computer Vision Lab

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Moritz Einfalt

From Multimedia Computing Lab - University of Augsburg


Main
  • Phone:
    • +49 (821) 598 2462
  • Email:
    • moritz {.} einfalt {at} informatik.uni-augsburg.de
  • Room:
    • 1011, N

Research Interests

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Pose Estimation

Projects

  • Time-continuous human pose and event detection for quantitative performance analyses in swimming and long/triple jumping. (project page)

Publications

  • Moritz Einfalt, Rainer Lienhart, Matthew Lee, Lyndon Kennedy.
    Detecting Speech Impairments from Temporal Visual Facial Features of Aphasia Patients.
    IEEE MIPR 2019. San José, CA, USA, March 2019, to appear.
  • Rainer Lienhart, Moritz Einfalt, Dan Zecha.
    Mining Automatically Estimated Poses from Video Recordings of Top Athletes.
    IJCSS, Dec. 2018, [DOI: 10.2478/ijcss-2018-0005].
  • 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. [PDF]
  • 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]
  • Moritz Einfalt, Dan Zecha, Rainer Lienhart.
    Activity-conditioned continuous human pose estimation for performance analysis of athletes using the example of swimming.
    IEEE Winter Conference on Applications of Computer Vision 2018 (WACV18), Lake Tahoe, NV, USA, March 2018. [arXiv][PDF]

Theses

  • Moritz Einfalt. Convolutional Pose Machines – Improvements, Extensions and Applications. Master Thesis, June 2017.
  • Moritz Einfalt. Decision Forests for Regression. Bachelor Thesis, September 2014. [PDF]

Teaching