Pedro Porto Buarque de Gusmão

Pedro Gusmao

Researcher

Postdoctoral Research Assistant

Department of Computer Science,
Robert Hooke Building
Directions Postal Address

Themes:

• Cyber Physical Systems

Biography

I currently hold a postdoctoral research position at the Cyber-Physical Systems group, working on the NIST grant “Pervasive, Accurate, and Reliable Location Based Services for Emergency Responders".

I received my bachelor’s degree in Telecommunication Engineering from the University of São Paulo and my master’s degree on the same field from the Politecnico di Torino in a double degree program. During my MSc studies, I was a recipient of an Alta Scuola Politecnica scholarship; and in 2017, I obtained my PhD from the same Politecnico.

My research interests include computer vision, machine learning and signal processing.  

Selected Publications

View AllManage publications

• Distilling Knowledge From a Deep Pose Regressor Network

  Muhamad Risqi U. Saputra Pedro P. B. de Gusmao Yasin Almalioglu Andrew Markham and Niki Trigoni

  In IEEE/CVF International Conference on Computer Vision (ICCV). 2019.

  Details about Distilling Knowledge From a Deep Pose Regressor Network | BibTeX data for Distilling Knowledge From a Deep Pose Regressor Network | Download  (pdf) of Distilling Knowledge From a Deep Pose Regressor Network

• DeepPCO: End−to−end Point Cloud Odometry through Deep Parallel Neural Network

  Wei Wang Muhamad Risqi U. Saputra Peijun Zhao Pedro Gusmao Bo Yang Changhao Chen Andrew Markham and Niki Trigoni

  In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2019.

  Details about DeepPCO: End−to−end Point Cloud Odometry through Deep Parallel Neural Network | BibTeX data for DeepPCO: End−to−end Point Cloud Odometry through Deep Parallel Neural Network

• Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning

  Muhamad Risqi U. Saputra Pedro P. B. de Gusmao Sen Wang Andrew Markham and Niki Trigoni

  In IEEE International Conference on Robotics and Automation (ICRA). 2019.

  Details about Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning | BibTeX data for Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning | Download  (pdf) of Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning

Supervisors