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Nico Messikommer
Nico Messikommer
Подтвержден адрес электронной почты в домене ifi.uzh.ch
Название
Процитировано
Процитировано
Год
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
1622020
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
782022
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
512022
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
402023
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
312022
Autonomous electric race car design
N Funk, N Alatur, R Deuber, F Gonon, N Messikommer, J Nubert, ...
International Electric Vehicle Symposium (EVS30), 2017
212017
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
102024
Contrastive initial state buffer for reinforcement learning
N Messikommer, Y Song, D Scaramuzza
2024 IEEE International Conference on Robotics and Automation (ICRA), 2866-2872, 2024
62024
Reinforcement Learning Meets Visual Odometry
N Messikommer, G Cioffi, M Gehrig, D Scaramuzza
European Conference on Computer Vision, 76-92, 2025
12025
Environment as Policy: Learning to Race in Unseen Tracks
H Wang, J Xing, N Messikommer, D Scaramuzza
arXiv preprint arXiv:2410.22308, 2024
2024
S7: Selective and Simplified State Space Layers for Sequence Modeling
T Soydan, N Zubić, N Messikommer, S Mishra, D Scaramuzza
arXiv preprint arXiv:2410.03464, 2024
2024
Seeing Behind Dynamic Occlusions with Event Cameras
R Zou, M Muglikar, N Messikommer, D Scaramuzza
arXiv preprint arXiv:2307.15829, 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
Student-Informed Teacher Training
N Messikommer, J Xing, E Aljalbout, D Scaramuzza
CoRL 2024 Workshop on Mastering Robot Manipulation in a World of Abundant Data, 0
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Статьи 1–14