Bachelor in Computer Science, Master in Artificial Intelligence (AI), and PhD in AI. I am a senior researcher in Computer Vision (CV). I have managed several CV and robotic projects that have been presented in symposiums and journals. I also contribute to important libraries such as OpenCV.

Among a large list of projects I would like to highlight my contributions in The Graffter, where I developed Augmented Reality technology for urban environment and XOIA Soft. Dev., a company that I have co-founded and nowadays has more than 10 employees. I led the CV team of New Horizon Technologies, developing several video surveillance, and medical image projects.

At the moment, I am a Senior Machine Learning Engineer at Qualcomm XR Labs Europe, where we are creating a new generation of AR/VR headsets by using cutting-edge Deep Learning technology to improve SLAM and SfM.


Publications

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GlueStick: Robust Image Matching by Sticking Points and Lines Together

Pautrat, R.*, Suárez, I.*, Yu, Y., Pollefeys, M., Larsson, V. (2023)

*Equal contribution.   ICCV 2023.

Paper | Code | Project page | Colab Demo

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ELSED: Enhanced Line SEgment Drawing

Suárez, I., Buenaposada, J. M., & Baumela, L. (2022)

Pattern Recognition, 127, 108619.

Paper | Code (C++) | DOI | Project page

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Revisiting Binary Local Image Description for Resource Limited Devices

Suárez, I., Buenaposada, J. M., & Baumela, L. (2021)

IEEE Robotics and Automation Letters, 6(4), 8317-8324.

Paper | Code (C++) | DOI | Project page | Video

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BEBLID: Boosted efficient binary local image descriptor

Suárez, I., Sfeir, G., Buenaposada, J. M., & Baumela, L. (2020).

Pattern Recognition Letters, 133, 366-372.

Paper | Code (C++) | Python OpenCV Tutorial | DOI

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BELID: Boosted efficient local image descriptor

Suárez, I., Sfeir, G., Buenaposada, J. M., & Baumela, L. (2019, July)

Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) (pp. 449-460).

Paper | DOI

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FSG: A statistical approach to line detection via fast segments grouping

Suárez, I., Muñoz, E., Buenaposada, J. M., & Baumela, L. (2018, October)

International Conference on Intelligent Robots and Systems (IROS) (pp. 97-102).

Paper | Code (C++) | DOI | Dataset | Video


Education

  • Research Internship - ETH Zürich (2021)

    During three amazing months I have been working in CVG group of ETH under the supervision of Prof. Marc Pollefeys. I developed a project about geometric-aware line segment matching for SLAM systems.

  • PhD - Universidad Politécnica de Madrid: Augmented Reality in Urban Environments (2021)

    In my PhD I created and improved the basics of Augmented Reality to move it towards Urban Environments. My research is centered in efficient detectors and descriptors for local image features such as corners or line segments where we have already published two articles. We are also working with RANSAC based geometric techniques to improve the estimation of the device pose in the world.

     thesis,  slides

  • Master in Artificial Intelligence - Universidad Politécnica de Madrid (2016)
    In this master I could learn about some important AI topics such as: Machine Learning, Computer Vision, Evolutionary Computing or Advanced Neural Networks. It was also one introduction to the research world and a first step into my PhD.
      Project: Prototipo de motor de realidad aumentada tridimensional para dispositivos móviles. thesis,  slides,  video  

  • Bachelor in Computer Science - Universidade da Coruña (2015)
      Bachelor project: Web application for the analysis of human behavior. video,  source code

Teaching

Teaching assistant in the following courses (2019 - 2021):
  • Deep Learning - Master's Programme in Digital Innovation: Data Science. (English)  Learning Guide
  • Pattern Recognition - Computer Engineering degree. (Spanish)  Learning Guide

Advisor of the following Bachelor and Master projects:

Public Presentations

  • Extended Reality: Towards Spatial Intelligence: Madrid Innovation Lab Summer Camp (2023). slides.pdf,  slides.pptx,  video (spanish)
  • Sticking Points and Lines for Improved Image Matching: International Computer Vision Summer School (ICVSS) 2022. poster
  • Master Universitario en Vision Artificial (URJC) 2021, 2020: Augmented Reality in Urban Environments Seminar. video
  • 2019: 9th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA): BELID: Boosted Efficient Local Image Descriptor. slides
  • 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): FSG: A statistical approach to line detection via fast segments grouping. slides
  • TEDx OviedoUniversity 2017: The power of the Augmented Reality (Workshop Speaker)

Honors and Awards

  • Excellent PhD Award, Computer Science Faculty, Universidad Politécnica de Madrid (January, 2024),  recording
  • Reading Group Competition Award. International Computer Vision Summer School (ICVSS), 2022
  • Cum Laude PhD (November, 2021)
  • Best Student Paper Award of ibPRIA 2019
  • Best PhD Thesis Award in the ICT field of the Polytechnic University of Madrid (May, 2019),  video,  poster
  • Primer Premio al mejor Trabajo Fin de Grado de Soft. Libre (November, 2015)

Other Projects

I am specially proud of the following companies/project:


Contact

Email: iagosuarz@gmail.com