Ignacio Alzugaray

PhD Candidate | Neuromorphic sensors & Computer Vision | ETH Zurich, Vision for Robotics Lab.

I am currently pursuing my PhD in Computer Vision at the ETH Zurich, Vision for Robotics Lab advised by Margarita Chli.

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.

Selected Publications

  1. BMVC
    HASTE: multi-Hypothesis Asynchronous Speeded-up Tracking of Events
    Alzugaray, Ignacio, and Chli, Margarita
    In British Machine Vision Virtual Conference (BMVC) 2020
  2. 3DV
    ACE: An Efficient Asynchronous Corner Tracker for Event Cameras
    Alzugaray, Ignacio, and Chli, Margarita
    In International Conference on 3D Vision (3DV) 2018
  3. RA-L / IROS
    Asynchronous Corner Detection and Tracking for Event Cameras in Real Time
    Alzugaray, Ignacio, and Chli, Margarita
    IEEE Robotics and Automation Letters 2018
  4. ICRA
    Short-term UAV path-planning with monocular-inertial SLAM in the loop
    Alzugaray, Ignacio, Teixeira, Lucas, and Chli, Margarita
    In IEEE International Conference on Robotics and Automation (ICRA) 2017