Daniel Gehrig ☕️
Daniel Gehrig

Postdoctoral Researcher

I am currently a postdoctoral researcher at the GRASP Lab, University of Pennsylvania, working on the intersection of computer vision, robotics and deep learning with and without event cameras. I am working under the supervision of Prof. Kostas Daniilidis and Prof. Pratik Chaudhari.

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Education
  • Ph.D. Computer Vision and Robotics

    University of Zurich

  • MSc Mechanical Engineering

    ETH Zurich

  • BSc Mechanical Engineering

    ETH Zurich

📚 My Research

I am a postdoctoral researcher at the GRASP Lab under the supervision of Prof. Kostas Daniilidis, and Prof. Pratik Chauhari, working on the insection of computer vision, robotics and machine learning with and without event cameras.

My main research focus lies in understanding the best way to process, represent and extract useful information from video data . Please reach out to collaborate!

Featured Publications
Recent Publications
(2024). A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
(2024). An N-Point Linear Solver for Line and Motion Estimation with Event Cameras. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
(2024). End-to-End Learned Event- and Image-based Visual Odometry. arXiv.
(2023). A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. Int. Conf. Comput. Vis. (ICCV).
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