My research interest is in Computer Vision and I am currently investing the use of neuromorphic event cameras in the visual SLAM problem. While event cameras are really fast and efficient, their output is asynchronous and sparse in constrast to the images acquired by traditional cameras. My doctoral studies are focused on developing novel Computer Vision algorithms that can fully exploit the characteristics of this new sensing modality.
Take a look at my lastest publications!
|Jun 9, 2021||I have been invited to give a talk at the CVPR 2021 Workshop on Event-based Vision. The video and slides are already available.|
|May 24, 2021||We are publicly releasing the code for HASTE, our latest publication on feature tracking with event cameras .|
|Oct 15, 2020||I will join Facebook Reality Labs team for a short internship in 2021 Q4.|
|Sep 9, 2020||We are presenting our latest work on efficient feature tracking for event cameras HASTE at BMVC.|
- BMVCHASTE: multi-Hypothesis Asynchronous Speeded-up Tracking of EventsIn British Machine Vision Virtual Conference (BMVC) 2020
- 3DVACE: An Efficient Asynchronous Corner Tracker for Event CamerasIn International Conference on 3D Vision (3DV) 2018
- RA-L / IROSAsynchronous Corner Detection and Tracking for Event Cameras in Real TimeIEEE Robotics and Automation Letters 2018
- ICRAShort-term UAV path-planning with monocular-inertial SLAM in the loopIn IEEE International Conference on Robotics and Automation (ICRA) 2017