Publications

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).

Daniel Gehrig, Antonio Loquercio, Kosta G. Derpanis, Davide Scaramuzza (2019). End-to-End Learning of Representations for Asynchronous Event-Based Data. Int. Conf. Comput. Vis. (ICCV).

Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza (2019). EKLT: Asynchronous, Photometric Feature Tracking using Events and Frames. Int. J. Comput. Vis. (IJCV).

Henri Rebecq, Daniel Gehrig, Davide Scaramuzza (2018). ESIM: an Open Event Camera Simulator. Conference on Robot Learning (CoRL), 2018..

Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza (2018). Asynchronous, Photometric Feature Tracking using Events and Frames. European Conf. on Computer Vision (ECCV).