Eduard Ramon

Position e-mail
Former eduard.ramon.maldonado@upc.edu
Office Phone

Biography

Eduard Ramon received a degree from the Technical University of Catalonia (UPC) in 2013. During his bachelor thesis, he analysed the performance of machine learning methods to detect certain kind of intracranial pressure oscillations called B-waves. From 2013 to 2014, he coursed the Master in Computer Vision in the Autonomous University of Barcelona (UAB) and at the same time, he started working at Crisalix Labs as a computer vision engineer. His master thesis goal was to automatically detect fiducial points in human bodies by using standard image descriptors and classifiers. Currently, Eduard continues his work at Crisalix Labs as a deep learning researcher while at the same time he is a PhD student at the image processing group at UPC under the supervision of Xavi Giró where he works on the applications of deep learning techniques to 3D reconstruction.

Conference Papers top

2023
P. Caselles, Ramon, E., Garcia, J., Giró-i-Nieto, X., Moreno, F., and Triginer, G., “SIRA: Relightable Avatars from a Single Image”, in Winter Conference on Applications of Computer Vision (WACV), 2023.
2021
E. Ramon, Triginer, G., Escur, J., Pumarola, A., Garcia, J., Giró-i-Nieto, X., and Moreno, F., “H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction”, in International Conference on Computer Vision (ICCV), Virtual, 2021. (6.08 MB)
2019
E. Ramon, Ruiz, G., Batard, T., and Giró-i-Nieto, X., “Hyperparameter-Free Losses for Model-Based Monocular Reconstruction”, in ICCV 2019 Workshop on Geometry Meets Deep Learning, Seoul, South Corea, 2019. (749.7 KB)
E. Ramon, Escur, J., and Giró-i-Nieto, X., “Multi-View 3D Face Reconstruction in the Wild using Siamese Networks”, in ICCV 2019 Workshop on 3D Face Alignment in the Wild Challenge Workshop (3DFAW), Seoul, South Corea, 2019. (227.12 KB)

Theses top

2022
E. Ramon, “Few-shot 3D Reconstruction of Body Parts with Deep Neural Networks”, 2022.

Other top

2020
J. Escur, “Attention-based multi-view 3D reconstruction models”. 2020. Ms Thesis
2019
E. Ramon, Villar, J., Ruiz, G., Batard, T., and Giró-i-Nieto, X., “Plug-and-Train Loss for Model-Based Single View 3D Reconstruction”, BMVA Technical Meeting: 3D vision with Deep Learning. UPC, London, UK, 2019. (3.97 MB) Unpublished
2018
E. Ramon, “Deep Learning algorithms for 3D Reconstruction and Simulation of Aesthetic Procedures”. 2018. Unpublished
2013
E. Ramon, “Algorithms for B wave detection”. 2013. Ms Thesis

Projects top

Deep Learning for 3D reconstruction and Simulation of Aesthetic Procedures National Jul
2017 		Jun
2020