Juan José Gómez Rodríguez

Juan José Gómez Rodríguez

PhD student in Computer Vision

University of Zaragoza

Biography

Welcome to my personal webpage! I am a third-year PhD student at the Robotics, Perception and Real Time (RoPeRT) group at the University of Zaragoza (Unizar) under the supervision of Prof. Juan D. Tardós. Previously I studied a Bachelors’s degree in Computer Science and a Master’s degree in Biomedical Engineering, both at Unizar where I started my career as a Computer Vision researcher.

My work revolves how computers perceive and understand their surroundings by means of Visual Simultaneous Localization and Mapping techniques (V-SLAM). I am especially interested and motivated by those challenging situations that impairs the use of these technologies like deformable V-SLAM which has direct application to many other fields like Minimal Intrusive Surgery.

Download my resumé.

Interests
  • Computer Vision
  • Robotics
  • Deep Learning
Education
  • PhD in Computer Vision, 2023

    University of Zaragoza

  • MEng in Biomedical Engineering, 2019

    University of Zaragoza

  • BSc in Computer Engineering, 2018

    University of Zaragoza

Experience

 
 
 
 
 
University of Zaragoza
Researcher and Assistant professor
University of Zaragoza
Dec 2019 – Present Zaragoza, Spain

Researcher in Computer Vision:

  • Rigid Visual SLAM for movile agents
  • Deformable Visual SLAM for medical sequences

Assistant professor:

  • Introduction to Machine Learning
  • Simultaneous Localization and Mapping
 
 
 
 
 
Google
Student Researcher - Computer Vision
Google
Aug 2022 – Oct 2022 Zürich, Switzerland
Student researcher program.
 
 
 
 
 
Meta Co.
Computer Vision/SLAM engineer intern
Meta Co.
Jul 2018 – Sep 2018 California, United States
Development of an efficient and robust multicamera SLAM system for the Meta 2 Augmented Reality headset

Recent Publications

(2022). ExplORB-SLAM: Active Visual SLAMExploiting the Pose-graph Topology. In ROBOT2022.

PDF Cite

(2022). EndoMapper dataset of complete calibrated endoscopy procedures. In Nature.

PDF Cite Dataset

(2022). Tracking monocular camera pose and deformation for SLAM inside the human body. In IROS 2022.

PDF Cite Video

(2021). Direct and Sparse Deformable Tracking. Submitted RA-L.

PDF Cite Video

(2020). SD-DefSLAM: Semi-Direct Monocular SLAM for Deformable and Intracorporeal Scenes. In ICRA 2021.

PDF Cite Video

(2020). ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM. In TRO.

PDF Cite Video

Contact