About Me

Daniel Gehrig

I work as a PhD student at the "Robotics and Perception Group" led by Prof. Dr. Davide Scaramuzza at the University of Zurich and ETH Zurich. My research focuses on high-speed and high-dynamic range visual perception using Event Cameras and aims at bringing these sensors closer to the research community. To do so, I am employing deep-learning and model-based approaches to leverage the outstanding properties of event cameras with data-driven techniques. I completed my masters in mechanical engineering at ETH Zurich and during my master thesis I worked on developing EKLT, asynchronous phototometric feature tracker using events and frames, for which I received the ETH medal, awarded for the best Master Thesis. Previously, I gained expertise in artificial intelligence when working at "F&P Personal Robotics" where I was in charge of enabling context-aware task planning for a robotic manipulator.

My Career

Robotics and Perception Group

PhD student with Prof. Dr. Davide Scaramuzza in the Robotics and Perception Group at University of Zurich and ETH Zurich.

Aug. 2018

Robotics and Perception Group

Research assistant at the Robotics and Perception Group, working on novel algorithms for Event Cameras.

Mai-Aug 2018
Research Assistant

MSc in Mechanical Engineering, ETH Zurich

Graduation from ETH Zurich with a MSc in Mechanical Engineering under the tuition of Prof. Dr. Roland Siegwart where I was awarded the Willi Studer Prize for the best Grade Point Average of 6.00 (out of 6.00) and the ETH medal for best Master Thesis.

Feb. 2016 - Apr. 2018
Master of Science

Software Developer at F&P Personal Robotics

Intership and part-time job at F&P Personal Robotics as a software developer on artificial intelligence and context management for service robotics.

Aug. 2017 - Apr. 2018
Software Development

BSc in Mechanical Engineering, ETH Zurich

Graduation from ETH Zurich with a BSc in Mechanical Engineering.

Sep. 2012 - Jul. 2015
Bachelor of Science

Teaching Assistant for Calculus and Linear Algebra

Teaching assistant, directing exercise lessons for the D-MATH department at ETH Zurich, in Calculus and Linear Algebra.

Sep. 2014 - Sep. 2015
Teaching Assistant

Publications and Projects

Event-based Asynchronous Sparse Convolutional Networks,

Converence Paper at "European Conference of Computer Vision" (ECCV) 2020 in Glasgow, United Kingdom. Open source code is available.

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Video to Events: Recycling Video Datasets for Event Cameras

Converence Paper at "Conference on Computer Vision and Pattern Recognition" (CVPR) 2020 in Seattle, USA. Open source code is available.

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End-to-End Learning of Representations for Asynchronous Event-Based Data

Conference Paper at "International Conference on Computer Vision" (ICCV) 2019 in Seoul, South Korea. Open source code is available.

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ESIM: an Open Event Camera Simulator

Conference Paper at "Conference on Robot Learning" (CoRL) 2018 in Zurich, Switzerland. Open source code is available.

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EKLT: Asynchronous, Photometric Feature Tracking using Events and Frames

Journal Paper at "International Journal of Computer Vision" (IJCV) 2019. Open source code is available.

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