Publications

Adrian Kneip, Martin Lefebvre, Daniel Gehrig, Victoria Catalán Pastor, Davide Scaramuzza, Marian Verhelst, Charlotte Frenkel (2026). A 25-μs/inf Event-driven Graph Neural Network Processor with Spatiotemporal Caching and Spline Convolution for Ultra-low-latency AI at the Edge. IEEE European Solid-State Electronics Research Conference (ESSERC).
PDF
Roberto Pellerito, Daniel Gehrig, Shintaro Shiba, Davide Scaramuzza (2026). Neural Events: Discrete Asynchronous Autoencoders for Event-Based Vision. arXiv.
PDF
Wenjing Margaret Mao, Jefferson Ng, Luyang Hu, Daniel Gehrig, Antonio Loquercio (2026). RoSHI: A Versatile Robot-oriented Suit for Human Data In-the-Wild. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Code PDF Project
Royina Karegoudra Ayanth,
Equal contribution
, Yinshuang Xu
Equal contribution
, Evangelos Chatzipantazis, Kostas Daniilidis, Daniel Gehrig (2025). Neural Inertial Odometry from Lie Events. Robotics: Science and Systems (RSS).
Code PDF Project
Friedhelm Hamann
Equal contribution
, Daniel Gehrig
Equal contribution
, Filbert Febryanto, Kostas Daniilidis, Guillermo Gallego (2025). ETAP: Event-based Tracking of Any Point. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Code Dataset PDF Poster Video
Royina Karegoudra Jayanth*
Equal contribution
, Yinshuang Xu*
Equal contribution
, Ziyun Wang, Evangelos Chatzipantazis, Kostas Daniilidis, Daniel Gehrig (2025). EqNIO: Subequivariant Neural Inertial Odometry. International Conference on Learning Representations (ICLR).
Code PDF Poster Project Slides Video
Hang Su
Equal contribution
, Yunlong Feng
Equal contribution
, 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).
Code PDF Poster Video
Ling Gao*
Equal contribution
, Daniel Gehrig*
Equal contribution
, Hang Su, Davide Scaramuzza, Laurent Kneip (2024). An N-Point Linear Solver for Line and Motion Estimation with Event Cameras. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
PDF Project
Asude Aydin
Equal contribution
, Mathias Gehrig
Equal contribution
, 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).
Code PDF
Daniel Gehrig
Equal contribution
, Davide Scaramuzza
Equal contribution
(2024). Low Latency Automotive Vision with Event Cameras. Nature.
Code Dataset PDF Video