Albert Mosella-Montoro, Ph.D

My research interests are in the field of Computer Vision and Machine Learning. In the past, I collaborated with Epic Games, where my research was at the intersection between Computer Vision and Graphics to facilitate the design and animation of 3D characters, from Graph Neural Network-based tools to help paint the skinning weights of 3D characters to diffusion model-based tools that reduce the time that artists need to expend transferring characters from different worlds. At the same time, I am collaborating with the Universitat Politècnica de Catalunya and the Universitat de Barcelona in a joint research project to apply Graph Neural Networks in the field of chemistry. Previously, I have also been involved in different Machine Learning projects such as pedestrian detection, image retrieval, outdoor instance segmentation and the use of synthetic data as a means of complementing real data when training models.

I am looking for new projects to collaborate on as an Independent Contractor!

News

Publications

SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters

A.Mosella-Montoro, J. Ruiz-Hidalgo

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
[ BibTex | Project | ArXiv | DOI ]

2D–3D Geometric Fusion network using Multi-Neighbourhood Graph Convolution for RGB-D indoor scene classification

A.Mosella-Montoro, J. Ruiz-Hidalgo

Information Fusion 2021
[ BibTex | Project | ArXiv | DOI ]

Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification

A.Mosella-Montoro, J. Ruiz-Hidalgo

IEEE Conference on Computer Vision Workshop (ICCVW) 2019
[ BibTex | Project | ArXiv | DOI ]