Nico Messikommer

According to our database, Nico Messikommer authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

S7: Selective and Simplified State Space Layers for Sequence Modeling.

Taylan Soydan, Nikola Zubic, Nico Messikommer, Siddhartha Mishra, Davide Scaramuzza

CoRR, 2024

Reinforcement Learning Meets Visual Odometry.

Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza

CoRR, 2024

Revisiting Token Pruning for Object Detection and Instance Segmentation.

Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Contrastive Initial State Buffer for Reinforcement Learning.

Nico Messikommer, Yunlong Song, Davide Scaramuzza

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Seeing Behind Dynamic Occlusions with Event Cameras.

Rong Zou, Manasi Muglikar, Nico Messikommer, Davide Scaramuzza

CoRR, 2023

Data-Driven Feature Tracking for Event Cameras.

Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation.

Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza

IEEE Robotics Autom. Lett., 2022

ESS: Learning Event-Based Semantic Segmentation from Still Images.

Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza

Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-Bracket High Dynamic Range Imaging with Event Cameras.

Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020

Event-Based Asynchronous Sparse Convolutional Networks.

Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza

Proceedings of the Computer Vision - ECCV 2020, 2020

2017

Cone Detection using a Combination of LiDAR and Vision-based Machine Learning.

Nico Messikommer, Simon Schaefer, Renaud Dubé, Mark Pfeiffer

CoRR, 2017

Autonomous Electric Race Car Design.

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

CoRR, 2017