I am a second year PhD student at Universidad de Zaragoza, inside 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 and computer graphics. In particular, I am interested on inverse problems of appearance capture and perceptual understanding. During the summer of 2019, 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. During my studies, I was an undergraduate researcher at the Graphics & Imaging Lab working on transfer learning and similarity methods.
You can contact me at mlagunas at unizar dot es
· Aug 2019 - Code and model available for our paper Learning Icons Appearance Similarity .
· Jul 2019 - Our paper The Effect of Motion on the Perception of Material Appearance has been accepted to the ACM Symposium on Applied Perception (SAP). More information coming soon! .
· May 2019 - Good news! Our paper A Similarity Measure for Material Appearance has been accepted to SIGGRAPH!
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.