Dr. Timon Höfer

Background

15.11.2019 - 31.10.2023
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)
  • Teamproject: A Web-Platform for Turn-based Games (Summer semester 2022)
  • Proseminar: Common Techniques in Machine Learning (Winter Semester 2022)

 

Project Work

Projects:

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

2021 - 2023   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] Benjamin Kiefer, ... , Timon Höfer et al. 1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.  (2022, accepted for publication at WACVW 2023) [arxiv, cvf]
[2] Timon Höfer et al. "HyperPosePDF: Predicting the Probability Distribution on SO(3)". In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, pp. 2369-2379 [cvf]
[3] Timon Höfer et al. "Automatic Adjustment of Fourier Embedding Parameterizations". In Proceedings of the IEEE International Conference on Pattern Recognition (2022, ICPR) [ieee]
[4] Hamd Riaz, Nuri Benbarka, Timon Höfer and Andreas Zell. "FourierMask:Instance Segmentation using Fourier Mapping in implicit Neural Networks". In Proceedings of the International Conference: Image Analysis and Processing  (2022, ICIAP) [springer, arxiv]
[5]

Nuri Benbarka*, Timon Höfer* (equal contribution), Hamd Riaz and Andreas Zell. “Seeing Implicit Neural Representations as Fourier series”. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision   (2022, WACV). [arxiv , cvf , ieee]

[6] Timon Höfer et al. “Object detection and Autoencoder-based 6D pose estimation for highly cluttered Bin Picking". In Proceedings of the IEEE International Conference on Image Processing (2021 ICIP)  [arxiv , ieee]

 

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