Dieses Bild zeigt  Jenny Schmalfuß

Frau M. Sc.

Jenny Schmalfuß

Wiss. Mitarbeiterin
Institut für Visualisierung und Interaktive Systeme (VIS)
Abteilung Intelligente Systeme

Kontakt

+49 (711) 685-88364

Universitätsstraße 38
70569 Stuttgart
Deutschland
Raum: 1.061

Fachgebiet

Current Interests

  • Stability of neural networks
  • Neural network architectures inspired by numerical methods
  • ... And all of the above applied to computer vision and specifically optical flow estimation

Background

  • Numerical methods (mostly for PDEs) and scientific computing
  • Computer vision
  • Machine learning and convolutional neural networks

Previous Projects

  • "Preconditioning Techniques for Coupled Stokes Darcy Systems" (Master's thesis, 2019/2020)
  • "Learning to Transform: Neural Networks with Sparse Directional Filters for Blind Inpainting" (research project in cooperation with the University of Houston, 2018/2019)
  • "Detection of  Alternative Splicing in Coral Reef Fish Exposed to Climate Change" (research project with the King Abdullah University of Science and Technology, 2017)
  • "Simulation and Adaptation of Contextual Bandit Algorithms for IoT Service Discovery" (Bachelor's thesis in cooperation with the National University of Singapore, 2016)

Winter 2020/2021:

  • Computer Vision - Tutorial (Coordinator)
  • Bildverarbeitung und Computer Vision - Seminar (Supervision)
  • Computer Vision and Intelligent Systems - Colloquium (Organization)

Summer 2020:

  • Imaging Science - Tutorial (Coordinator)

Before Summer Term 2020:

  • Imaging Science - Tutorial (Tutor)
  • Computer Vision - Tutorial (Tutor)

2016

Wanigasekara, N., Schmalfuss, J., Carlson, D., Rosenblum, D. (2016). A bandit approach for intelligent IoT service composition across heterogeneous smart spaces. Proceedings of the International Conference on the Internet of Things (pp. 21-129).

 

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