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J. Daniel Subías

PhD Candidate in Computer Graphics

GILab | UZ

I’m a third-year PhD candidate in Computer Graphics at the Graphics & Imaging Lab (Universidad de Zaragoza, Spain), under the supervision of Prof. Ana Serrano and Prof. Diego Gutierrez. I have a BSc degree in Computer Science from Universidad de Zaragoza. I obtained my MSc degree in Applied and Theoretical Mathematics at Universidad Politécnica de Valencia. My research topics are visual appearance, material perception and deep learning, but I’m open to explore other related fields such as computer vision. In my free time I like to play videogames 🎮 and meet new people, so I’m always up for a chat while having a beer 😊

Education and Scholarships

PhD Scholarship

Gobierno de Aragon Dec 2022 – Dec 2026

MSc in Applied and Theoretical Mathematics

Universidad Politécnica de Valencia Sep 2021 – Jun 2022

Endomapper’s Research Scholarship

Endomapper Mar 2021 – Jul 2021

BSc in Computer Science

Universidad de Zaragoza Sep 2017 – Jul 2021

Publications

Julia Guerrero-Viu, J. Daniel Subías, Ana Serrano, Katherine R. Storrs, Roland W. Fleming, Belen Masia, Diego Gutierrez (2024). Predicting Perceived Gloss: Do Weak Labels Suffice?. In Eurographics 2024.

PDF Cite Code Dataset Slides Video DOI

J. Daniel Subías, Manuel Lagunas (2023). In-the-wild Material Appearance Editing using Perceptual Attributes. In Eurographics 2023.

PDF Cite Code Dataset Poster Slides Video DOI

Experience

PhD Student

Graphics & Imaging Lab

December 2022 – Present Zaragoza, Spain

Researcher Assistant

Graphics & Imaging Lab

September 2022 – December 2022 Zaragoza, Spain

Prior to my PhD, I was researching intuitive visual appearance editing, from real-world datasets using deep learning techniques, at the Graphics & Imaging Lab.

Researcher Assistant

Endomapper

March 2021 – July 2021 Zaragoza, Spain

As end-degree project, I received a grant to research on Structure from Motion (SfM) and Multi-view Stereo using colonoscopy videos under the supervision of Prof. José María Martínez Montiel.

Software Engineering

Bitbrain

July 2020 – August 2020 Zaragoza, Spain

During my internship at Bitbrain, I developed an accurate binary classifier to automate the classification of encephalographic signals.

Projects

3D Modeling of the Colon from Real Colonoscopies using Multiview Geometry (Bachelor Thesis)

An efficient and accurate COLMAP-based software to compute the 3D trajectory and camera position from colonoscopy videos. See the report (spa) for additional details.

Path Tracer and Tone Mapper (Subject Project)

A Path Tracer, which solves the rendering equation using Monte Carlo and Importance Sampling, and a Tone Mapper, capable of converting the high dynamic range images generated by the Path Tracer (with a modified PPM format) into standard PPM images that can be displayed. See the report (spa) for additional details.