| ESIM: An Open Event Camera Simulator H Rebecq, D Gehrig, D Scaramuzza Conference on Robot Learning, 969-982, 2018 | 305 | 2018 |
| End-to-End Learning of Representations for Asynchronous Event-based Data D Gehrig, A Loquercio, KG Derpanis, D Scaramuzza Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 222 | 2019 |
| Asynchronous, Photometric Feature Tracking using Events and Frames D Gehrig, H Rebecq, G Gallego, D Scaramuzza Proceedings of the European Conference on Computer Vision (ECCV), 750-765, 2018 | 138 | 2018 |
| 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 | 135 | 2020 |
| EKLT: Asynchronous Photometric Feature Tracking using Events and Frames D Gehrig, H Rebecq, G Gallego, D Scaramuzza International Journal of Computer Vision 128 (3), 601-618, 2020 | 133 | 2020 |
| Fast Image Reconstruction with an Event Camera C Scheerlinck, H Rebecq, D Gehrig, N Barnes, R Mahony, D Scaramuzza Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 127 | 2020 |
| DSEC: A Stereo Event Camera Dataset for Driving Scenarios M Gehrig, W Aarents, D Gehrig, D Scaramuzza IEEE Robotics and Automation Letters 6 (3), 4947-4954, 2021 | 122 | 2021 |
| Event-based Asynchronous Sparse Convolutional Networks N Messikommer*, D Gehrig*, A Loquercio, D Scaramuzza Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 97 | 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 | 91 | 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 | 78 | 2021 |
| Learning Monocular Dense Depth from Events J Hidalgo-Carrió, D Gehrig, D Scaramuzza International Conference on 3D Vision (3DV), 2020 | 69 | 2020 |
| 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 | 64 | 2021 |
| AEGNN: Asynchronous Event-based Graph Neural Networks S Schaefer, D Gehrig, D Scaramuzza Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 50 | 2022 |
| Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion S Tulyakov, A Bochicchio, D Gehrig, S Georgoulis, Y Li, D Scaramuzza Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 37 | 2022 |
| How to Calibrate your Event Camera M Muglikar, M Gehrig, D Gehrig, D Scaramuzza Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 29 | 2021 |
| ESS: Learning Event-based Semantic Segmentation from Still Images Z Sun, N Messikommer, D Gehrig, D Scaramuzza Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 23 | 2022 |
| 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 | 21 | 2022 |
| Exploring Event Camera-based Odometry for Planetary Robots F Mahlknecht, D Gehrig, J Nash, FM Rockenbauer, B Morrell, J Delaune, ... IEEE Robotics and Automation Letters, 2022 | 16 | 2022 |
| Multi-Bracket High Dynamic Range Imaging with Event Cameras N Messikommer, S Georgoulis, D Gehrig, S Tulyakov, J Erbach, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 12 | 2022 |
| Are high-resolution event cameras really needed? D Gehrig, D Scaramuzza arXiv preprint arXiv:2203.14672, 2022 | 7 | 2022 |
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichПодтвержден адрес электронной почты в домене ifi.uzh.ch
