| Event-based asynchronous sparse convolutional networks N Messikommer, D Gehrig, A Loquercio, D Scaramuzza Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 106 | 2020 |
| ESS: Learning Event-based Semantic Segmentation from Still Images Z Sun, N Messikommer, D Gehrig, D Scaramuzza European Conference on Computer Vision, 341-357, 2022 | 30 | 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 | 27 | 2022 |
| Autonomous electric race car design N Funk, N Alatur, R Deuber, F Gonon, N Messikommer, J Nubert, ... International Electric Vehicle Symposium (EVS30), 2017 | 19 | 2017 |
| 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 | 13 | 2022 |
| 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 | 5 | 2023 |
| Contrastive Initial State Buffer for Reinforcement Learning N Messikommer, Y Song, D Scaramuzza arXiv preprint arXiv:2309.09752, 2023 | | 2023 |
| Revisiting Token Pruning for Object Detection and Instance Segmentation Y Liu, M Gehrig, N Messikommer, M Cannici, D Scaramuzza arXiv preprint arXiv:2306.07050, 2023 | | 2023 |
| Cone Detection Using a Combination of LiDAR and Vision-Based Machine Learning N Messikommer, S Schaefer, R Dubé, M Pfeiffer arXiv preprint arXiv:1711.02079, 2017 | | 2017 |
