Video to Events: Bringing Modern Computer Vision Closer to Event Cameras. - Daniel Gehrig; Mathias Gehrig; Javier Hidalgo-Carrió; Davide Scaramuzza 001 (CoRR, 2019)

Learning Monocular Dense Depth from Events. - Javier Hidalgo-Carrió; Daniel Gehrig; Davide Scaramuzza 001 (3DV, 2020)

Video to Events: Recycling Video Datasets for Event Cameras. - Daniel Gehrig; Mathias Gehrig; Javier Hidalgo-Carrió; Davide Scaramuzza 001 (CVPR, 2020)

Powerline Tracking with Event Cameras. - Alexander Dietsche; Giovanni Cioffi; Javier Hidalgo-Carrió; Davide Scaramuzza 001 (IROS, 2021)

Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction. - Daniel Gehrig; Michelle Rüegg; Mathias Gehrig; Javier Hidalgo-Carrió; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2021)

Event-aided Direct Sparse Odometry. - Javier Hidalgo-Carrió; Guillermo Gallego 002; Davide Scaramuzza 001 (CVPR, 2022)

Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry. - Vincenzo Polizzi; Robert A. Hewitt; Javier Hidalgo-Carrió; Jeff Delaune; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2022)

Design, Testing, and Evolution of Mars Rover Testbeds: European Space Agency Planetary Exploration. - Martin Azkarate; Levin Gerdes; Tim Wiese; Martin Zwick; Marco Pagnamenta; Javier Hidalgo-Carrió; Pantelis Poulakis; Carlos Jesús Pérez-del-Pulgar (IEEE Robotics Autom. Mag., 2022)

Autonomous Power Line Inspection with Drones via Perception-Aware MPC. - Jiaxu Xing; Giovanni Cioffi; Javier Hidalgo-Carrió; Davide Scaramuzza 001 (IROS, 2023)