ESIM: an Open Event Camera Simulator. - Henri Rebecq; Daniel Gehrig; Davide Scaramuzza 001 (CoRL, 2018)

Asynchronous, Photometric Feature Tracking Using Events and Frames. - Daniel Gehrig; Henri Rebecq; Guillermo Gallego 002; Davide Scaramuzza 001 (ECCV (12), 2018)

End-to-End Learning of Representations for Asynchronous Event-Based Data. - Daniel Gehrig; Antonio Loquercio; Konstantinos G. Derpanis; Davide Scaramuzza 001 (ICCV, 2019)

Video to Events: Bringing Modern Computer Vision Closer to Event Cameras. - Daniel Gehrig; Mathias Gehrig; Javier Hidalgo-Carrió; Davide Scaramuzza 001 (CoRR, 2019)

Learning Monocular Dense Depth from Events. - Javier Hidalgo-Carrió; Daniel Gehrig; Davide Scaramuzza 001 (3DV, 2020)

Video to Events: Recycling Video Datasets for Event Cameras. - Daniel Gehrig; Mathias Gehrig; Javier Hidalgo-Carrió; Davide Scaramuzza 001 (CVPR, 2020)

Event-Based Asynchronous Sparse Convolutional Networks. - Nico Messikommer; Daniel Gehrig; Antonio Loquercio; Davide Scaramuzza 001 (ECCV (8), 2020)

Fast Image Reconstruction with an Event Camera. - Cedric Scheerlinck; Henri Rebecq; Daniel Gehrig; Nick Barnes; Robert E. Mahony; Davide Scaramuzza 001 (WACV, 2020)

EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames. - Daniel Gehrig; Henri Rebecq; Guillermo Gallego 002; Davide Scaramuzza 001 (Int. J. Comput. Vis., 2020)

Correction to: EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames. - Daniel Gehrig; Henri Rebecq; Guillermo Gallego 002; Davide Scaramuzza 001 (Int. J. Comput. Vis., 2020)

E-RAFT: Dense Optical Flow from Event Cameras. - Mathias Gehrig; Mario Millhäusler; Daniel Gehrig; Davide Scaramuzza 001 (3DV, 2021)

How To Calibrate Your Event Camera. - Manasi Muglikar; Mathias Gehrig; Daniel Gehrig; Davide Scaramuzza 001 (CVPR Workshops, 2021)

Time Lens: Event-Based Video Frame Interpolation. - Stepan Tulyakov; Daniel Gehrig; Stamatios Georgoulis; Julius Erbach; Mathias Gehrig; Yuanyou Li; Davide Scaramuzza 001 (CVPR, 2021)

TimeLens: Event-based Video Frame Interpolation. - Stepan Tulyakov; Daniel Gehrig; Stamatios Georgoulis; Julius Erbach; Mathias Gehrig; Yuanyou Li; Davide Scaramuzza 001 (CoRR, 2021)

Dense Optical Flow from Event Cameras. - Mathias Gehrig; Mario Millhäusler; Daniel Gehrig; Davide Scaramuzza 001 (CoRR, 2021)

DSEC: A Stereo Event Camera Dataset for Driving Scenarios. - Mathias Gehrig; Willem Aarents; Daniel Gehrig; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2021)

Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction. - Daniel Gehrig; Michelle Rüegg; Mathias Gehrig; Javier Hidalgo-Carrió; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2021)

Multi-Bracket High Dynamic Range Imaging with Event Cameras. - Nico Messikommer; Stamatios Georgoulis; Daniel Gehrig; Stepan Tulyakov; Julius Erbach; Alfredo Bochicchio; Yuanyou Li; Davide Scaramuzza 001 (CVPR Workshops, 2022)

AEGNN: Asynchronous Event-based Graph Neural Networks. - Simon Schaefer; Daniel Gehrig; Davide Scaramuzza 001 (CVPR, 2022)

Time Lens++: Event-based Frame Interpolation with Parametric Nonlinear Flow and Multi-scale Fusion. - Stepan Tulyakov; Alfredo Bochicchio; Daniel Gehrig; Stamatios Georgoulis; Yuanyou Li; Davide Scaramuzza 001 (CVPR, 2022)

ESS: Learning Event-Based Semantic Segmentation from Still Images. - Zhaoning Sun; Nico Messikommer; Daniel Gehrig; Davide Scaramuzza 001 (ECCV (34), 2022)

Are High-Resolution Event Cameras Really Needed? - Daniel Gehrig; Davide Scaramuzza 001 (CoRR, 2022)

Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion. - Stepan Tulyakov; Alfredo Bochicchio; Daniel Gehrig; Stamatios Georgoulis; Yuanyou Li; Davide Scaramuzza 001 (CoRR, 2022)

Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras. - Daniel Gehrig; Davide Scaramuzza 001 (CoRR, 2022)

Exploring Event Camera-Based Odometry for Planetary Robots. - Florian Mahlknecht; Daniel Gehrig; Jeremy Nash; Friedrich M. Rockenbauer; Benjamin Morrell; Jeff Delaune; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2022)

Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation. - Nico Messikommer; Daniel Gehrig; Mathias Gehrig; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2022)

A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. - Ling Gao 001; Hang Su; Daniel Gehrig; Marco Cannici; Davide Scaramuzza 001; Laurent Kneip (ICCV, 2023)

From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection. - Nikola Zubic; Daniel Gehrig; Mathias Gehrig; Davide Scaramuzza 001 (ICCV, 2023)

Event-based Agile Object Catching with a Quadrupedal Robot. - Benedek Forrai; Takahiro Miki; Daniel Gehrig; Marco Hutter 001; Davide Scaramuzza 001 (ICRA, 2023)

From Chaos Comes Order: Ordering Event Representations for Object Detection. - Nikola Zubic; Daniel Gehrig; Mathias Gehrig; Davide Scaramuzza 001 (CoRR, 2023)

End-to-End Learned Event- and Image-based Visual Odometry. - Roberto Pellerito; Marco Cannici; Daniel Gehrig; Joris Belhadj; Olivier Dubois-Matra; Massimo Casasco; Davide Scaramuzza 001 (CoRR, 2023)

Effiziente, Datenbasierte Wahrnehmung mit Eventkameras. - Daniel Gehrig (Ausgezeichnete Informatikdissertationen, 2023)

A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception. - Asude Aydin; Mathias Gehrig; Daniel Gehrig; Davide Scaramuzza 001 (CVPR Workshops, 2024)

An N-Point Linear Solver for Line and Motion Estimation with Event Cameras. - Ling Gao 001; Daniel Gehrig; Hang Su; Davide Scaramuzza 001; Laurent Kneip (CVPR, 2024)

Deep Visual Odometry with Events and Frames. - Roberto Pellerito; Marco Cannici; Daniel Gehrig; Joris Belhadj; Olivier Dubois-Matra; Massimo Casasco; Davide Scaramuzza 001 (IROS, 2024)

Event-based Tracking of Any Point with Motion-Robust Correlation Features. - Friedhelm Hamann; Daniel Gehrig; Filbert Febryanto; Kostas Daniilidis; Guillermo Gallego 002 (CoRR, 2024)

E-Calib: A Fast, Robust, and Accurate Calibration Toolbox for Event Cameras. - Mohammed Salah; Abdulla Ayyad; Muhammad Humais; Daniel Gehrig; Abdelqader Abusafieh; Lakmal D. Seneviratne; Davide Scaramuzza 001; Yahya H. Zweiri (IEEE Trans. Image Process., 2024)

Low-latency automotive vision with event cameras. - Daniel Gehrig; Davide Scaramuzza 001 (Nat., 2024)

ETAP: Event-based Tracking of Any Point. - Friedhelm Hamann; Daniel Gehrig; Filbert Febryanto; Kostas Daniilidis; Guillermo Gallego 002 (CVPR, 2025)

EqNIO: Subequivariant Neural Inertial Odometry. - Royina Karegoudra Jayanth; Yinshuang Xu; Ziyun Wang 001; Evangelos Chatzipantazis; Kostas Daniilidis; Daniel Gehrig (ICLR, 2025)

A Unified Framework for Event-Based Frame Interpolation With Ad-Hoc Deblurring in the Wild. - Lei Sun 009; Daniel Gehrig; Christos Sakaridis; Mathias Gehrig; Jingyun Liang; Peng Sun; Zhijie Xu; Kaiwei Wang; Luc Van Gool; Davide Scaramuzza 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Neural Inertial Odometry from Lie Events. - Royina Karegoudra Jayanth; Yinshuang Xu; Evangelos Chatzipantazis; Kostas Daniilidis; Daniel Gehrig (CoRR, 2025)

A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks. - Hang Su; Yunlong Feng; Daniel Gehrig; Panfeng Jiang; Ling Gao 001; Xavier Lagorce; Laurent Kneip (CoRR, 2025)