Nico Messikommer
I am a Ph.D. student at the Robotics and Perception Group led by Prof. Davide Scaramuzza at the University of Zurich. My research interests include deep learning and event-based vision.
Publications
Contrastive Initial State Buffer for Reinforcement Learning
N. Messikommer, Y. Song, D. Scaramuzza
IEEE International Conference on Robotics and Automation (ICRA), 2024
Revisiting Token Pruning for Object Detection and Instance Segmentation
Y. Liu, M. Gehrig, N. Messikommer, M. Cannici, D. Scaramuzza
IEEE Winter Conference on Applications of Computer Vision (WACV), 2024
Data-driven Feature Tracking for Event Cameras
N. Messikommer*, C. Fang*, M. Gehrig, D. Scaramuzza
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Award Candidate
Multi-Bracket High Dynamic Range Imaging with Event Cameras
N. Messikommer*, S. Georgoulis*, D. Gehrig, S. Tulyakov, J. Erbach, A. Bochicchio, Y. Li, D. Scaramuzza
Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2022
ESS: Learning Event-based Semantic Segmentation from Still Images
Z. Sun*, N. Messikommer*, D. Gehrig, D. Scaramuzza
European Conference on Computer Vision (ECCV), 2022
Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation
N. Messikommer, D. Gehrig, M. Gehrig, D. Scaramuzza
Robotics and Automation Letters (RAL), 2022
Event-based Asynchronous Sparse Convolutional Networks
N. Messikommer, D. Gehrig, A. Loquercio, D. Scaramuzza
European Conference on Computer Vision (ECCV), 2020
Autonomous Electric Race Car Design
N. Funk, N. Alatur, R. Deuber, F. Gonon, N. Messikommer, J. Nubert, M. Patriarca, S. Schaefer, D. Scotoni, N. Bünger, R. Dube, R. Khanna, M. Pfeiffer, E. Wilhelm, R. Siegwart
EVS30 Symposium, 2017
Education
Ph.D. Student at the Robotics and Perception Group
2020 - now, University of Zürich and ETH Zürich, Prof. Dr. Scaramuzza
MSc in Robotics, Systems and Control
2017-2019, ETH Zürich, Tutor: Prof. Dr. Siegwart
BSc in Mechanical Engineering
2014-2017, ETH Zürich