Publications

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.

Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza (2022). Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation. IEEE Robot. Autom. Lett. (RA-L).

Mathias Gehrig*, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza (2021). E-RAFT: Dense Optical Flow from Event Cameras. 3D Vision (3DV).

Stepan Tulyakov*, Daniel Gehrig*, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza (2021). Time Lens: Event-based Video Frame Interpolation . IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Manasi Muglikar*, Mathias Gehrig*, Daniel Gehrig, Davide Scaramuzza (2021). How to Calibrate Your Event Camera. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Mathias Gehrig, Willem Aarents, Daniel Gehrig, Davide Scaramuzza (2021). DSEC: A Stereo Event Camera Dataset for Driving Scenarios. IEEE Robot. Autom. Lett. (RA-L).

Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrio, Davide Scaramuzza (2021). Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction. IEEE Robot. Autom. Lett. (RA-L).