Dr. Daniel Weber

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Background

2019 - 2023
PhD student, University of Tübingen
2015 - 2018
MSc in Mathematics, University of Tübingen
2011 - 2015
BSc in Mathematics, University of Tübingen

Teaching

  • Proseminar: Techniques in Machine Learning (Winter 2022/23)
  • Tutorial: Introduction to Neural Networks (Summer 2022)
  • Tutorial: Grundlagen der Multimediatechnik (Winter 2021/22)
  • Proseminar: Topics in Deep Neural Networks (Winter 2021/22)
  • Proseminar: Topics in Deep Neural Networks (Summer 2021)
  • Tutorial: Eye-based Human-Computer Interaction (Winter 2020/21)
  • Proseminar: Topics in Deep Neural Networks (Winter 2020/21)
  • Seminar: Current Topics in Deep Neural Networks (Summer 2020)
  • Tutorial: Eye Movements and Visual Perception (Winter 2019/20)
  • Seminar: Advanced Topics in Perception Engineering (Winter 2019/20)
  • Seminar: Current Topics in Deep Neural Networks (Winter 2019/20)

Supervised Theses

2022 Bachelor thesis Using reverse image search for an object classification pipeline
2021 Bachelor thesis 3D-Rekonstruktion eines Objekts aus der Punktwolke eines Szenenbilds
2020 Bachelor thesis Eine sprachliche Schnittstelle zur Objekterkennung für mobile Serviceroboter

Publications

[1] Daniel Weber, Valentin Bolz, Andreas Zell, and Enkelejda Kasneci. "Leveraging Saliency-Aware Gaze Heatmaps for Multiperspective Teaching of Unknown Objects". In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
[2] Daniel Weber, Wolfgang Fuhl, Enkelejda Kasneci, and Andreas Zell. "Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction". In Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, HRI '23, Stockholm, Sweden, March 2023.
[3] Daniel Weber*, Wolfgang Fuhl*, Andreas Zell, and Enkelejda Kasneci. "Gaze-Based Object Detection in the Wild". In 2022 Sixth IEEE International Conference on Robotic Computing (IRC), pages 62–66, Naples, Italy, December 2022. (*equal contribution)
[4] Daniel Weber, Enkelejda Kasneci, and Andreas Zell. "Exploiting Augmented Reality for Extrinsic Robot Calibration and Eye-based Human-Robot Collaboration". In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, HRI '22, pages 284–293, Sapporo, Hokkaido, Japan, March 2022. [Link]
[5] David Geisler, Daniel Weber, Nora Castner, and Enkelejda Kasneci. "Exploiting the GBVS for Saliency aware Gaze Heatmaps". In ACM Symposium on Eye Tracking Research and Applications, Stuttgart, Germany, June 2020. [DOI]
[6] Daniel Weber, Thiago Santini, Andreas Zell, and Enkelejda Kasneci. "Distilling Location Proposals of Unknown Objects Through Gaze Information for Human-Robot Interaction". In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, Nevada, USA, October 2020. [DOI]

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