Daniel Gehrig

61 papers A* 11A 2Misc 1Journal 38Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks.
CoRR
Hang Su, Yunlong Feng, Daniel Gehrig, Panfeng Jiang, Ling Gao, Xavier Lagorce, Laurent Kneip
2025 J jnl
A Unified Framework for Event-Based Frame Interpolation With Ad-Hoc Deblurring in the Wild.
IEEE Trans. Pattern Anal. Mach. Intell.
Lei Sun, Daniel Gehrig, Christos Sakaridis, Mathias Gehrig, Jingyun Liang, Peng Sun, Zhijie Xu, Kaiwei Wang, Luc Van Gool, Davide Scaramuzza
2025 A* conf
ETAP: Event-based Tracking of Any Point.
CVPR
Friedhelm Hamann, Daniel Gehrig, Filbert Febryanto, Kostas Daniilidis, Guillermo Gallego
2025 A* conf
EqNIO: Subequivariant Neural Inertial Odometry.
ICLR
Royina Karegoudra Jayanth, Yinshuang Xu, Ziyun Wang, Evangelos Chatzipantazis, Kostas Daniilidis, Daniel Gehrig
2025 J jnl
Neural Inertial Odometry from Lie Events.
CoRR
Royina Karegoudra Jayanth, Yinshuang Xu, Evangelos Chatzipantazis, Kostas Daniilidis, Daniel Gehrig
2024 — conf
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception.
CVPR Workshops
Asude Aydin, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
2024 A* conf
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras.
CVPR
Ling Gao, Daniel Gehrig, Hang Su, Davide Scaramuzza, Laurent Kneip
2024 J jnl
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras.
CoRR
Ling Gao, Daniel Gehrig, Hang Su, Davide Scaramuzza, Laurent Kneip
2024 A conf
Deep Visual Odometry with Events and Frames.
IROS
Roberto Pellerito, Marco Cannici, Daniel Gehrig, Joris Belhadj, Olivier Dubois-Matra, Massimo Casasco, Davide Scaramuzza
2024 J jnl
E-Calib: A Fast, Robust, and Accurate Calibration Toolbox for Event Cameras.
IEEE Trans. Image Process.
Mohammed Salah, Abdulla Ayyad, Muhammad Humais, Daniel Gehrig, Abdelqader Abusafieh, Lakmal D. Seneviratne, Davide Scaramuzza, Yahya H. Zweiri
2024 J jnl
EqNIO: Subequivariant Neural Inertial Odometry.
CoRR
Royina Karegoudra Jayanth, Yinshuang Xu, Ziyun Wang, Evangelos Chatzipantazis, Daniel Gehrig, Kostas Daniilidis
2024 J jnl
Event-based Tracking of Any Point with Motion-Robust Correlation Features.
CoRR
Friedhelm Hamann, Daniel Gehrig, Filbert Febryanto, Kostas Daniilidis, Guillermo Gallego
2024 J jnl
Low-latency automotive vision with event cameras.
Nat.
Daniel Gehrig, Davide Scaramuzza
2023 A* conf
A 5-Point Minimal Solver for Event Camera Relative Motion Estimation.
ICCV
Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip
2023 J jnl
A 5-Point Minimal Solver for Event Camera Relative Motion Estimation.
CoRR
Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip
2023 J jnl
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception.
CoRR
Asude Aydin, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
2023 J jnl
E-Calib: A Fast, Robust and Accurate Calibration Toolbox for Event Cameras.
CoRR
Mohammed Salah, Abdulla Ayyad, Muhammad Humais, Daniel Gehrig, Abdelqader Abusafieh, Lakmal D. Seneviratne, Davide Scaramuzza, Yahya H. Zweiri
2023 — ch.
Effiziente, Datenbasierte Wahrnehmung mit Eventkameras.
Ausgezeichnete Informatikdissertationen
Daniel Gehrig
2023 J jnl
End-to-End Learned Event- and Image-based Visual Odometry.
CoRR
Roberto Pellerito, Marco Cannici, Daniel Gehrig, Joris Belhadj, Olivier Dubois-Matra, Massimo Casasco, Davide Scaramuzza
2023 A* conf
Event-based Agile Object Catching with a Quadrupedal Robot.
ICRA
Benedek Forrai, Takahiro Miki, Daniel Gehrig, Marco Hutter, Davide Scaramuzza
2023 J jnl
Event-based Agile Object Catching with a Quadrupedal Robot.
CoRR
Benedek Forrai, Takahiro Miki, Daniel Gehrig, Marco Hutter, Davide Scaramuzza
2023 J jnl
From Chaos Comes Order: Ordering Event Representations for Object Detection.
CoRR
Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
2023 A* conf
From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.
ICCV
Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
2022 A* conf
AEGNN: Asynchronous Event-based Graph Neural Networks.
CVPR
Simon Schaefer, Daniel Gehrig, Davide Scaramuzza
2022 J jnl
AEGNN: Asynchronous Event-based Graph Neural Networks.
CoRR
Simon Schaefer, Daniel Gehrig, Davide Scaramuzza
2022 J jnl
Are High-Resolution Event Cameras Really Needed?
CoRR
Daniel Gehrig, Davide Scaramuzza
2022 J jnl
Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation.
IEEE Robotics Autom. Lett.
Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
2022 — conf
ESS: Learning Event-Based Semantic Segmentation from Still Images.
ECCV (34)
Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza
2022 J jnl
ESS: Learning Event-based Semantic Segmentation from Still Images.
CoRR
Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza
2022 J jnl
Exploring Event Camera-Based Odometry for Planetary Robots.
IEEE Robotics Autom. Lett.
Florian Mahlknecht, Daniel Gehrig, Jeremy Nash, Friedrich M. Rockenbauer, Benjamin Morrell, Jeff Delaune, Davide Scaramuzza
2022 J jnl
Exploring Event Camera-based Odometry for Planetary Robots.
CoRR
Florian Mahlknecht, Daniel Gehrig, Jeremy Nash, Friedrich M. Rockenbauer, Benjamin Morrell, Jeff Delaune, Davide Scaramuzza
2022 — conf
Multi-Bracket High Dynamic Range Imaging with Event Cameras.
CVPR Workshops
Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza
2022 J jnl
Multi-Bracket High Dynamic Range Imaging with Event Cameras.
CoRR
Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza
2022 J jnl
Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras.
CoRR
Daniel Gehrig, Davide Scaramuzza
2022 J jnl
Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion.
CoRR
Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, Davide Scaramuzza
2022 A* conf
Time Lens++: Event-based Frame Interpolation with Parametric Nonlinear Flow and Multi-scale Fusion.
CVPR
Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, Davide Scaramuzza
2021 J jnl
Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation.
CoRR
Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
2021 J jnl
Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction.
IEEE Robotics Autom. Lett.
Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
2021 J jnl
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction.
CoRR
Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
2021 J jnl
DSEC: A Stereo Event Camera Dataset for Driving Scenarios.
CoRR
Mathias Gehrig, Willem Aarents, Daniel Gehrig, Davide Scaramuzza
2021 J jnl
DSEC: A Stereo Event Camera Dataset for Driving Scenarios.
IEEE Robotics Autom. Lett.
Mathias Gehrig, Willem Aarents, Daniel Gehrig, Davide Scaramuzza
2021 J jnl
Dense Optical Flow from Event Cameras.
CoRR
Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza
2021 — conf
E-RAFT: Dense Optical Flow from Event Cameras.
3DV
Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza
2021 — conf
How To Calibrate Your Event Camera.
CVPR Workshops
Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
2021 J jnl
How to Calibrate Your Event Camera.
CoRR
Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
2021 A* conf
Time Lens: Event-Based Video Frame Interpolation.
CVPR
Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza
2021 J jnl
TimeLens: Event-based Video Frame Interpolation.
CoRR
Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza
2020 J jnl
Correction to: EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames.
Int. J. Comput. Vis.
Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza
2020 J jnl
EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames.
Int. J. Comput. Vis.
Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza
2020 — conf
Event-Based Asynchronous Sparse Convolutional Networks.
ECCV (8)
Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza
2020 J jnl
Event-based Asynchronous Sparse Convolutional Networks.
CoRR
Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza
2020 A conf
Fast Image Reconstruction with an Event Camera.
WACV
Cedric Scheerlinck, Henri Rebecq, Daniel Gehrig, Nick Barnes, Robert E. Mahony, Davide Scaramuzza
2020 — conf
Learning Monocular Dense Depth from Events.
3DV
Javier Hidalgo-Carrió, Daniel Gehrig, Davide Scaramuzza
2020 J jnl
Learning Monocular Dense Depth from Events.
CoRR
Javier Hidalgo-Carrió, Daniel Gehrig, Davide Scaramuzza
2020 A* conf
Video to Events: Recycling Video Datasets for Event Cameras.
CVPR
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
2019 A* conf
End-to-End Learning of Representations for Asynchronous Event-Based Data.
ICCV
Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza
2019 J jnl
End-to-End Learning of Representations for Asynchronous Event-Based Data.
CoRR
Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza
2019 J jnl
Video to Events: Bringing Modern Computer Vision Closer to Event Cameras.
CoRR
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
2018 — conf
Asynchronous, Photometric Feature Tracking Using Events and Frames.
ECCV (12)
Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza
2018 J jnl
Asynchronous, Photometric Feature Tracking using Events and Frames.
CoRR
Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza
2018 Misc conf
ESIM: an Open Event Camera Simulator.
CoRL
Henri Rebecq, Daniel Gehrig, Davide Scaramuzza