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Henri Rebecq
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- affiliation: ETH Zurich / University of Zurich, Department of Neuroinformatics, Switzerland
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2020 – today
- 2021
- [j9]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
High Speed and High Dynamic Range Video with an Event Camera. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1964-1980 (2021) - 2020
- [j8]Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames. Int. J. Comput. Vis. 128(3): 601-618 (2020) - [j7]Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
Correction to: EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames. Int. J. Comput. Vis. 128(3): 619 (2020) - [c12]Cedric Scheerlinck, Henri Rebecq, Daniel Gehrig, Nick Barnes, Robert E. Mahony, Davide Scaramuzza:
Fast Image Reconstruction with an Event Camera. WACV 2020: 156-163
2010 – 2019
- 2019
- [c11]Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen, Nick Barnes, Robert E. Mahony, Davide Scaramuzza:
CED: Color Event Camera Dataset. CVPR Workshops 2019: 1684-1693 - [c10]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
Events-To-Video: Bringing Modern Computer Vision to Event Cameras. CVPR 2019: 3857-3866 - [c9]Samuel Bryner, Guillermo Gallego, Henri Rebecq, Davide Scaramuzza:
Event-based, Direct Camera Tracking from a Photometric 3D Map using Nonlinear Optimization. ICRA 2019: 325-331 - [c8]Jeffrey A. Delmerico, Titus Cieslewski, Henri Rebecq, Matthias Faessler, Davide Scaramuzza:
Are We Ready for Autonomous Drone Racing? The UZH-FPV Drone Racing Dataset. ICRA 2019: 6713-6719 - [i10]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
Events-to-Video: Bringing Modern Computer Vision to Event Cameras. CoRR abs/1904.08298 (2019) - [i9]Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen, Nick Barnes, Robert E. Mahony, Davide Scaramuzza:
CED: Color Event Camera Dataset. CoRR abs/1904.10772 (2019) - [i8]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
High Speed and High Dynamic Range Video with an Event Camera. CoRR abs/1906.07165 (2019) - 2018
- [j6]Henri Rebecq, Guillermo Gallego, Elias Mueggler, Davide Scaramuzza:
EMVS: Event-Based Multi-View Stereo - 3D Reconstruction with an Event Camera in Real-Time. Int. J. Comput. Vis. 126(12): 1394-1414 (2018) - [j5]Guillermo Gallego, Jon E. A. Lund, Elias Mueggler, Henri Rebecq, Tobi Delbrück, Davide Scaramuzza:
Event-Based, 6-DOF Camera Tracking from Photometric Depth Maps. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2402-2412 (2018) - [j4]Antoni Rosinol Vidal, Henri Rebecq, Timo Horstschaefer, Davide Scaramuzza:
Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High-Speed Scenarios. IEEE Robotics Autom. Lett. 3(2): 994-1001 (2018) - [j3]Elias Mueggler, Guillermo Gallego, Henri Rebecq, Davide Scaramuzza:
Continuous-Time Visual-Inertial Odometry for Event Cameras. IEEE Trans. Robotics 34(6): 1425-1440 (2018) - [c7]Henri Rebecq, Daniel Gehrig, Davide Scaramuzza:
ESIM: an Open Event Camera Simulator. CoRL 2018: 969-982 - [c6]Guillermo Gallego, Henri Rebecq, Davide Scaramuzza:
A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation. CVPR 2018: 3867-3876 - [c5]Yi Zhou, Guillermo Gallego, Henri Rebecq, Laurent Kneip, Hongdong Li, Davide Scaramuzza:
Semi-dense 3D Reconstruction with a Stereo Event Camera. ECCV (1) 2018: 242-258 - [c4]Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
Asynchronous, Photometric Feature Tracking Using Events and Frames. ECCV (12) 2018: 766-781 - [i7]Guillermo Gallego, Henri Rebecq, Davide Scaramuzza:
A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation. CoRR abs/1804.01306 (2018) - [i6]Yi Zhou, Guillermo Gallego, Henri Rebecq, Laurent Kneip, Hongdong Li, Davide Scaramuzza:
Semi-Dense 3D Reconstruction with a Stereo Event Camera. CoRR abs/1807.07429 (2018) - [i5]Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
Asynchronous, Photometric Feature Tracking using Events and Frames. CoRR abs/1807.09713 (2018) - 2017
- [j2]Elias Mueggler, Henri Rebecq, Guillermo Gallego, Tobi Delbrück, Davide Scaramuzza:
The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM. Int. J. Robotics Res. 36(2): 142-149 (2017) - [j1]Henri Rebecq, Timo Horstschaefer, Guillermo Gallego, Davide Scaramuzza:
EVO: A Geometric Approach to Event-Based 6-DOF Parallel Tracking and Mapping in Real Time. IEEE Robotics Autom. Lett. 2(2): 593-600 (2017) - [c3]Henri Rebecq, Timo Horstschaefer, Davide Scaramuzza:
Real-time Visual-Inertial Odometry for Event Cameras using Keyframe-based Nonlinear Optimization. BMVC 2017 - [i4]Elias Mueggler, Guillermo Gallego, Henri Rebecq, Davide Scaramuzza:
Continuous-Time Visual-Inertial Trajectory Estimation with Event Cameras. CoRR abs/1702.07389 (2017) - [i3]Antoni Rosinol Vidal, Henri Rebecq, Timo Horstschaefer, Davide Scaramuzza:
Hybrid, Frame and Event based Visual Inertial Odometry for Robust, Autonomous Navigation of Quadrotors. CoRR abs/1709.06310 (2017) - 2016
- [c2]Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
EMVS: Event-based Multi-View Stereo. BMVC 2016 - [c1]Zichao Zhang, Henri Rebecq, Christian Forster, Davide Scaramuzza:
Benefit of large field-of-view cameras for visual odometry. ICRA 2016: 801-808 - [i2]Guillermo Gallego, Jon E. A. Lund, Elias Mueggler, Henri Rebecq, Tobi Delbrück, Davide Scaramuzza:
Event-based, 6-DOF Camera Tracking for High-Speed Applications. CoRR abs/1607.03468 (2016) - [i1]Elias Mueggler, Henri Rebecq, Guillermo Gallego, Tobi Delbrück, Davide Scaramuzza:
The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM. CoRR abs/1610.08336 (2016)
Coauthor Index
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