Nico Messikommer

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Visual Odometry

Reinforcement Learning

High Dynamic Range Imaging

Top Venues

IEEE Robotics Autom. Lett.

Publications

Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza
Reinforcement Learning Meets Visual Odometry. CoRR (2024)
Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza
Revisiting Token Pruning for Object Detection and Instance Segmentation. WACV (2024)
Nico Messikommer, Yunlong Song, Davide Scaramuzza
Contrastive Initial State Buffer for Reinforcement Learning. ICRA (2024)
Rong Zou, Manasi Muglikar, Nico Messikommer, Davide Scaramuzza
Seeing Behind Dynamic Occlusions with Event Cameras. CoRR (2023)
Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza
Data-Driven Feature Tracking for Event Cameras. CVPR (2023)
Nico Messikommer, Yunlong Song, Davide Scaramuzza
Contrastive Initial State Buffer for Reinforcement Learning. CoRR (2023)
Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza
Revisiting Token Pruning for Object Detection and Instance Segmentation. CoRR (2023)
Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza
Multi-Bracket High Dynamic Range Imaging with Event Cameras. CoRR (2022)
Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza
ESS: Learning Event-Based Semantic Segmentation from Still Images. ECCV (34) (2022)
Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza
Data-driven Feature Tracking for Event Cameras. CoRR (2022)
Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza
Multi-Bracket High Dynamic Range Imaging with Event Cameras. CVPR Workshops (2022)
Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation. IEEE Robotics Autom. Lett. 7 (2) (2022)
Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza
ESS: Learning Event-based Semantic Segmentation from Still Images. CoRR (2022)
Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation. CoRR (2021)
Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza
Event-Based Asynchronous Sparse Convolutional Networks. ECCV (8) (2020)
Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza
Event-based Asynchronous Sparse Convolutional Networks. CoRR (2020)
Nico Messikommer, Simon Schaefer, Renaud Dubé, Mark Pfeiffer
Cone Detection using a Combination of LiDAR and Vision-based Machine Learning. CoRR (2017)
Niklas Funk, Nikhilesh Alatur, Robin Deuber, Frederick Gonon, Nico Messikommer, Julian Nubert, Moritz Patriarca, Simon Schaefer, Dominic Scotoni, Nicholas Bünger, Renaud Dubé, Raghav Khanna, Mark Pfeiffer, Erik Wilhelm, Roland Siegwart
Autonomous Electric Race Car Design. CoRR (2017)