| DSEC: A Stereo Event Camera Dataset for Driving Scenarios M Gehrig, W Aarents, D Gehrig, D Scaramuzza IEEE Robotics and Automation Letters, 2021 | 231 | 2021 |
| Video to events: Recycling video datasets for event cameras D Gehrig, M Gehrig, J Hidalgo-Carrió, D Scaramuzza Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 204 | 2020 |
| Time lens: Event-based video frame interpolation S Tulyakov, D Gehrig, S Georgoulis, J Erbach, M Gehrig, Y Li, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 166 | 2021 |
| AlphaPilot: Autonomous Drone Racing P Foehn, D Brescianini, E Kaufmann, T Cieslewski, M Gehrig, M Muglikar, ... 2020 Robotics: Science and Systems (RSS), 2020 | 157 | 2020 |
| Beauty and the beast: Optimal methods meet learning for drone racing E Kaufmann, M Gehrig, P Foehn, R Ranftl, A Dosovitskiy, V Koltun, ... 2019 international conference on robotics and automation (ICRA), 690-696, 2019 | 155 | 2019 |
| Focus is all you need: Loss functions for event-based vision G Gallego, M Gehrig, D Scaramuzza Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 128 | 2019 |
| E-raft: Dense optical flow from event cameras M Gehrig, M Millhäusler, D Gehrig, D Scaramuzza 2021 International Conference on 3D Vision (3DV), 197-206, 2021 | 117 | 2021 |
| Combining events and frames using recurrent asynchronous multimodal networks for monocular depth prediction D Gehrig, M Rüegg, M Gehrig, J Hidalgo-Carrió, D Scaramuzza IEEE Robotics and Automation Letters 6 (2), 2822-2829, 2021 | 115 | 2021 |
| Event-Based Angular Velocity Regression with Spiking Networks M Gehrig, SB Shrestha, D Mouritzen, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 4195-4202, 2020 | 91 | 2020 |
| Recurrent vision transformers for object detection with event cameras M Gehrig, D Scaramuzza Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 70 | 2023 |
| How to Calibrate Your Event Camera M Muglikar, M Gehrig, D Gehrig, D Scaramuzza IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2021 | 52 | 2021 |
| Visual place recognition with probabilistic voting M Gehrig, E Stumm, T Hinzmann, R Siegwart 2017 IEEE International Conference on Robotics and Automation (ICRA), 3192-3199, 2017 | 49 | 2017 |
| Bridging the gap between events and frames through unsupervised domain adaptation N Messikommer, D Gehrig, M Gehrig, D Scaramuzza IEEE Robotics and Automation Letters 7 (2), 3515-3522, 2022 | 47 | 2022 |
| Towards low-latency high-bandwidth control of quadrotors using event cameras RS Dimitrova, M Gehrig, D Brescianini, D Scaramuzza 2020 IEEE International Conference on Robotics and Automation (ICRA), 4294-4300, 2020 | 43 | 2020 |
| Data-driven feature tracking for event cameras N Messikommer, C Fang, M Gehrig, D Scaramuzza Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
| Dense continuous-time optical flow from event cameras M Gehrig, M Muglikar, D Scaramuzza IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 13* | 2024 |
| From Chaos Comes Order: Ordering Event Representations for Object Detection N Zubić, D Gehrig, M Gehrig, D Scaramuzza Proceedings of the International Conference on Computer Vision (ICCV), 2023 | 11* | 2023 |
| State space models for event cameras N Zubic, M Gehrig, D Scaramuzza Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| Revisiting token pruning for object detection and instance segmentation Y Liu, M Gehrig, N Messikommer, M Cannici, D Scaramuzza Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 3 | 2024 |
| A hybrid ANN-SNN architecture for low-power and low-latency visual perception A Aydin, M Gehrig, D Gehrig, D Scaramuzza Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichVerified email at ifi.uzh.ch
