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Nico Messikommer
Nico Messikommer
Verified email at ifi.uzh.ch
Title
Cited by
Cited by
Year
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
1422020
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
642022
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
472022
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
282022
Autonomous electric race car design
N Funk, N Alatur, R Deuber, F Gonon, N Messikommer, J Nubert, ...
International Electric Vehicle Symposium (EVS30), 2017
212017
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
192023
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
32024
Contrastive Initial State Buffer for Reinforcement Learning
N Messikommer, Y Song, D Scaramuzza
arXiv preprint arXiv:2309.09752, 2023
22023
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
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Articles 1–9