Publications

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).

Javier Hidalgo-Carrio, Daniel Gehrig, Davide Scaramuzza (2020). Learning Monocular Dense Depth from Events. 3D Vision (3DV).

Nico Messikommer*, Daniel Gehrig*, Antonio Loquercio, Davide Scaramuzza (2020). Event-based Asynchronous Sparse Convolutional Networks. European Conf. on Computer Vision (ECCV).

Daniel Gehrig*, Mathias Gehrig, Javier Hidalgo-Carrio, Davide Scaramuzza (2020). Video to Events: Recycling Video Dataset for Event Cameras. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Cedric Scheerlinck, Henri Rebecq, Daniel Gehrig, Nick Barnes, Robert E. Mahoney, Davide Scaramuzza (2020). Fast Image Reconstruction with an Event Camera. IEEE Winter Conf. Appl. Comput. Vis. (WACV).