Nico Messikommer

34 papers A* 4A 1Journal 23Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Approximate Imitation Learning for Event-based Quadrotor Flight in Cluttered Environments. CoRR Nico Messikommer, Jiaxu Xing, Leonard Bauersfeld, Marco Cannici, Elie Aljalbout, Davide Scaramuzza
2026	J	`jnl`	Generative Event Pretraining with Foundation Model Alignment. CoRR Jianwen Cao, Jiaxu Xing, Nico Messikommer, Davide Scaramuzza
2026	J	`jnl`	Motion-aware Event Suppression for Event Cameras. CoRR Roberto Pellerito, Nico Messikommer, Giovanni Cioffi, Marco Cannici, Davide Scaramuzza
2025	J	`jnl`	Data-Driven Feature Tracking for Event Cameras With and Without Frames. IEEE Trans. Pattern Anal. Mach. Intell. Nico Messikommer, Carter Fang, Mathias Gehrig, Giovanni Cioffi, Davide Scaramuzza
2025	A*	`conf`	Environment as Policy: Learning to Race in Unseen Tracks. ICRA Hongze Wang, Jiaxu Xing, Nico Messikommer, Davide Scaramuzza
2025	J	`jnl`	Event-Based De-Snowing for Autonomous Driving. CoRR Manasi Muglikar, Nico Messikommer, Marco Cannici, Davide Scaramuzza
2025	—	`conf`	ForesightNav: Learning Scene Imagination for Efficient Exploration. CVPR Workshops Hardik Shah, Jiaxu Xing, Nico Messikommer, Boyang Sun, Marc Pollefeys, Davide Scaramuzza
2025	J	`jnl`	ForesightNav: Learning Scene Imagination for Efficient Exploration. CoRR Hardik Shah, Jiaxu Xing, Nico Messikommer, Boyang Sun, Marc Pollefeys, Davide Scaramuzza
2025	J	`jnl`	Hybrid Event Frame Sensors: Modeling, Calibration, and Simulation. CoRR Yunfan Lu, Nico Messikommer, Xiaogang Xu, Liming Chen, Yuhan Chen, Nikola Zubic, Davide Scaramuzza, Hui Xiong
2025	—	`conf`	Reading in the Dark with Foveated Event Vision. CVPR Workshops Carl Brander, Giovanni Cioffi, Nico Messikommer, Davide Scaramuzza
2025	J	`jnl`	Reading in the Dark with Foveated Event Vision. CoRR Carl Brander, Giovanni Cioffi, Nico Messikommer, Davide Scaramuzza
2025	A*	`conf`	Student-Informed Teacher Training. ICLR Nico Messikommer, Jiaxu Xing, Elie Aljalbout, Davide Scaramuzza
2024	A*	`conf`	Contrastive Initial State Buffer for Reinforcement Learning. ICRA Nico Messikommer, Yunlong Song, Davide Scaramuzza
2024	J	`jnl`	Environment as Policy: Learning to Race in Unseen Tracks. CoRR Hongze Wang, Jiaxu Xing, Nico Messikommer, Davide Scaramuzza
2024	—	`conf`	Reinforcement Learning Meets Visual Odometry. ECCV (59) Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza
2024	J	`jnl`	Reinforcement Learning Meets Visual Odometry. CoRR Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza
2024	A	`conf`	Revisiting Token Pruning for Object Detection and Instance Segmentation. WACV Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza
2024	J	`jnl`	S7: Selective and Simplified State Space Layers for Sequence Modeling. CoRR Taylan Soydan, Nikola Zubic, Nico Messikommer, Siddhartha Mishra, Davide Scaramuzza
2024	J	`jnl`	Student-Informed Teacher Training. CoRR Nico Messikommer, Jiaxu Xing, Elie Aljalbout, Davide Scaramuzza
2023	J	`jnl`	Contrastive Initial State Buffer for Reinforcement Learning. CoRR Nico Messikommer, Yunlong Song, Davide Scaramuzza
2023	A*	`conf`	Data-Driven Feature Tracking for Event Cameras. CVPR Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza
2023	J	`jnl`	Revisiting Token Pruning for Object Detection and Instance Segmentation. CoRR Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza
2023	J	`jnl`	Seeing Behind Dynamic Occlusions with Event Cameras. CoRR Rong Zou, Manasi Muglikar, Nico Messikommer, Davide Scaramuzza
2022	J	`jnl`	Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation. IEEE Robotics Autom. Lett. Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
2022	J	`jnl`	Data-driven Feature Tracking for Event Cameras. CoRR Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza
2022	—	`conf`	ESS: Learning Event-Based Semantic Segmentation from Still Images. ECCV (34) Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza
2022	J	`jnl`	ESS: Learning Event-based Semantic Segmentation from Still Images. CoRR Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza
2022	—	`conf`	Multi-Bracket High Dynamic Range Imaging with Event Cameras. CVPR Workshops Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza
2022	J	`jnl`	Multi-Bracket High Dynamic Range Imaging with Event Cameras. CoRR Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza
2021	J	`jnl`	Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation. CoRR Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
2020	—	`conf`	Event-Based Asynchronous Sparse Convolutional Networks. ECCV (8) Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza
2020	J	`jnl`	Event-based Asynchronous Sparse Convolutional Networks. CoRR Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza
2017	J	`jnl`	Autonomous Electric Race Car Design. CoRR 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
2017	J	`jnl`	Cone Detection using a Combination of LiDAR and Vision-based Machine Learning. CoRR Nico Messikommer, Simon Schaefer, Renaud Dubé, Mark Pfeiffer