Publications

Nikola Zubic*, Daniel Gehrig*, Mathias Gehrig, Davide Scaramuzza (2023). From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection. Int. Conf. Comput. Vis. (ICCV).

Ling Gao, Su Hao, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip (2023). A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. Int. Conf. Comput. Vis. (ICCV).

Benedek Forrai*, Takahiro Miki*, Daniel Gehrig*, Marco Hutter, Davide Scaramuzza (2023). Event-based Agile Object Catching with a Quadrupedal Robot. IEEE Int. Conf. Robot. Autom. (ICRA).

Daniel Gehrig, Davide Scaramuzza (2022). Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras. IEEE Robot. Autom. Lett. (RA-L).

Florian Mahlknecht, Daniel Gehrig, Jeremy Nash, Friedrich M. Rockenbauer, Benjamin Morrell, Jeff Delaune, Davide Scaramuzza (2022). Exploring Event Camera-based Odometry for Planetary Robots. IEEE Robot. Autom. Lett. (RA-L).

Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, Davide Scaramuzza (2022). Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza (2022). Multi-Bracket High Dynamic Range Imaging with Event Cameras. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Zhaoning Sun*, Nico Messikommer*, Daniel Gehrig, Davide Scaramuzza (2022). ESS: Learning Event-based Semantic Segmentation from Still Images. European Conf. on Computer Vision (ECCV).

Simon Schaefer*, Daniel Gehrig*, Davide Scaramuzza (2022). AEGNN: Asynchronous Event-based Graph Neural Networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Daniel Gehrig, Davide Scaramuzza (2022). Are High-Resolution Event Cameras Really Needed?. arXiv.