I am a fourth-year PhD student at Universidad de Zaragoza, Spain (now looking for potential postdoc or industry positions), inside the Graphics and Imaging Lab. My PhD thesis is being co-supervised by Diego Gutierrez and Belen Masia. My main research topics lie in the interface between machine learning, computer graphics, and human perception. During the summer of 2019 and 2020, I had fun as a Research Intern in Adobe Research, San Jose. I obtained my Bachelor (2015) and Master (2016) degree at Universidad de Zaragoza, majoring in Computer Science and Applied Maths, respectively.
You can contact me at mlagunas at unizar dot es
· Jun 2021 - Our paper Single-image Full-body Human Relighting has been accepted to the Eurographics Symposium on Rendering (EGSR)! More information coming soon!
· Mar 2021 - I will present our paper A similarity measure for material appearance in The Skin of Things II workshop!
· Feb 2021 - Our paper The joint role of geometry and illumination on material recognition is already publicly available!
· Nov 2020 - Good news! Our paper The joint role of geometry and illumination on material recognition has been accepted in the Journal of Vision.
Project page PDF PDF (Suppl.) .bib Slides (ppt) Presentation (Youtube)
Implementation of a U-net like model used for car segmentation in the Carvana Image Segmentation challenge run on the Kaggle platform.
Library that aims to be a high-level abstraction of three different evolutionary algorithms: Genetic Algorithms (ga), Evolution Strategies (es), and Grid-based Genetic Algorithm (gga).
Analysis of classification methods using hihgly imbalanced data acquired by the marketing team of a bank in order to predict if a client will subscribe to a particular bank deposit.
Use of penalized regression (Lasso regression) which consists on getting the correct answers of an exam given the answers of the students and their grade.