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; et al. (CoRR, 2017)

Cone Detection using a Combination of LiDAR and Vision-based Machine Learning. - Nico Messikommer; Simon Schaefer; Renaud Dubé; Mark Pfeiffer (CoRR, 2017)

Event-Based Asynchronous Sparse Convolutional Networks. - Nico Messikommer; Daniel Gehrig; Antonio Loquercio; Davide Scaramuzza 001 (ECCV (8), 2020)

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 001 (CVPR Workshops, 2022)

ESS: Learning Event-Based Semantic Segmentation from Still Images. - Zhaoning Sun; Nico Messikommer; Daniel Gehrig; Davide Scaramuzza 001 (ECCV (34), 2022)

Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation. - Nico Messikommer; Daniel Gehrig; Mathias Gehrig; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2022)

Data-Driven Feature Tracking for Event Cameras. - Nico Messikommer; Carter Fang; Mathias Gehrig; Davide Scaramuzza 001 (CVPR, 2023)

Seeing Behind Dynamic Occlusions with Event Cameras. - Rong Zou; Manasi Muglikar; Nico Messikommer; Davide Scaramuzza 001 (CoRR, 2023)

Reinforcement Learning Meets Visual Odometry. - Nico Messikommer; Giovanni Cioffi; Mathias Gehrig; Davide Scaramuzza 001 (ECCV (59), 2024)

Contrastive Initial State Buffer for Reinforcement Learning. - Nico Messikommer; Yunlong Song; Davide Scaramuzza 001 (ICRA, 2024)

Revisiting Token Pruning for Object Detection and Instance Segmentation. - Yifei Liu; Mathias Gehrig; Nico Messikommer; Marco Cannici; Davide Scaramuzza 001 (WACV, 2024)

S7: Selective and Simplified State Space Layers for Sequence Modeling. - Taylan Soydan; Nikola Zubic; Nico Messikommer; Siddhartha Mishra; Davide Scaramuzza 001 (CoRR, 2024)

Environment as Policy: Learning to Race in Unseen Tracks. - Hongze Wang; Jiaxu Xing; Nico Messikommer; Davide Scaramuzza 001 (CoRR, 2024)

Reading in the Dark with Foveated Event Vision. - Carl Brander; Giovanni Cioffi; Nico Messikommer; Davide Scaramuzza 001 (CVPR Workshops, 2025)

ForesightNav: Learning Scene Imagination for Efficient Exploration. - Hardik Shah; Jiaxu Xing; Nico Messikommer; Boyang Sun; Marc Pollefeys; Davide Scaramuzza 001 (CVPR Workshops, 2025)

Student-Informed Teacher Training. - Nico Messikommer; Jiaxu Xing; Elie Aljalbout; Davide Scaramuzza 001 (ICLR, 2025)

Data-Driven Feature Tracking for Event Cameras With and Without Frames. - Nico Messikommer; Carter Fang; Mathias Gehrig; Giovanni Cioffi; Davide Scaramuzza 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Event-Based De-Snowing for Autonomous Driving. - Manasi Muglikar; Nico Messikommer; Marco Cannici; Davide Scaramuzza 001 (CoRR, 2025)