🎉 I started as a postdoctoral researcher at the GRASP Lab at UPenn.
I just started as a postdoctoral researcher at the GRASP Lab at the University of Pennsylvania, under the supervision of Prof. Kostas Daniilidis!
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Daniel Gehrig Download CV 
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.
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 working on the intersection of computer vision, robotics and machine learning with and without event cameras.
My research focuses on event-based sensing, and recently extended from vision-based (i.e., event cameras) to IMUs as part of my recent work on Lie Events for IMU-based navigation, and event-based computation in the embedding space via asynchronous neural networks. I plan to extend this framework to Predictive Event Tokenization (PET), generalizing event-based sensing to arbitrary sensors, learnable embedding spaces, and robotic systems. With PET, I aim to bring the benefits of asynchronicity and sparsity to these new domains.
Please reach out to collaborate!
Featured Publications
Recent Publications
Hang Su, Yunlong Feng, Daniel Gehrig, Panfeng Jiang, Ling Gao, Xavier Lagorce, Laurent Kneip
(2025).
A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks.
IEEE/CVF International Conference on Computer Vision (ICCV).
Royina Karegoudra Jayanth*, Yinshuang Xu*, Ziyun Wang, Evangelos Chatzipantazis, Kostas Daniilidis, Daniel Gehrig
(2025).
EqNIO: Subequivariant Neural Inertial Odometry.
International Conference on Learning Representations (ICLR).
Friedhelm Hamann, Daniel Gehrig, Filbert Febryanto, Kostas Daniilidis, Guillermo Gallego
(2025).
ETAP: Event-based Tracking of Any Point.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Royina Karegoudra Ayanth,, Yinshuang Xu, Evangelos Chatzipantazis, Kostas Daniilidis, Daniel Gehrig
(2025).
Neural Inertial Odometry from Lie Events.
Robotics: Science and Systems (RSS).
Asude Aydin, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
(2024).
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception.
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Recent & Upcoming Talks
Recent News
🧠 I successfully defended my Ph.D. with Summa Cum Laude!
I successfully defended my Ph.D. thesis titled “Efficient, Data-driven Perception with Event Cameras”.
Read more