Timon Höfer

Background

Since 15.11.2019
PhD student at the Department of Cognitive Systems, University of Tübingen

2016 - 2019
MSc in Mathematics, University of Tuebingen

2013 - 2016
BSc in Mathematics, University of Tuebingen

Research Interests

  • Machine Learning
  • Deep Neural Networks
  • Computer Vision
  • 6D pose estimation
  • 2D object detection

Teaching

  • Assignments class: Mathematics for natural scientists (Winter semester 2015)
  • Assignments class: Analysis 1 (Winter semester 2016)
  • Assignments class: Probability Theory (Summer semester 2018)
  • Assignments class: Introduction to neural networks (Summer semester 2020)
  • Assignments class: Introduction to technical computer science (Winter semester 2020)
  • Assignments class: Introduction to neural networks (Summer semester 2021)
  • Assignments class: Deep Neural Networks (Winter semester 2021)

Project Work

Projects:

2019 - 2021  iBinPick: 6D pose estimation of industrial objects for the task of bin picking using RGB-D sensors

2021 - 202?   SafeAI: Human detection in fields and urban scenarios using Lidar/ RGB-D sensors

Supervised Theses

2020 Bachelor thesis Creating a synthetic dataset for 6D pose estimation
2021 Bachelor thesis

Machine Learning for 6D pose estimation

2021 Bachelor thesis Extending Mask R-CNN to 6D pose estimation

Theses

Zeitumkehr bestimmter Sprung-Diffusionsprozesse mit Anwendung in der mathematischen Populationsgenetik
Master's thesis, University of Tübingen,  2019

Verzweigungsprozesse Theta - gebrochen linearer erzeugender Funktion
Bachelor's thesis, University of Tübingen, 2016

Publications

[1] Timon Höfer, Faranak Shamsafar, Nuri Benbarka and Andreas Zell. “Object detection and Autoencoder-based 6D pose estimation for highly cluttered Bin Picking" 2021).  Accepted at ICIP 2021
[2] Nuri Benbarka*(equal contribution), Timon Höfer*(equal contribution), Hamd Riaz and Andreas Zell. “Seeing Implicit Neural Representations as Fourier series”  (2021). (under review)