2020 NeurIPS competition: 3D+Texture garment reconstruction
Organizers
Sergio Escalera
Computer Vision Center (UAB) and University of Barcelona, Spain
sergio.escalera.guerrero@gmail.com
Sergio Escalera is Full Professor at the Department of Mathematics and Informatics, Universitat de Barcelona, where he is the head of the Informatics degree. He is ICREA Academia. He leads the Human Pose Recovery and Behavior Analysis Group. He is Distinguished Professor at Aalborg University. He is vice-president of ChaLearn Challenges in Machine Learning, leading ChaLearn Looking at People events. He is also Fellow of the ELLIS European Laboratory for Learning and Intelligent Systems working within the Human-centric Machine Learning program. He participated in several international funded projects and received an Amazon Research Award. He has published more than 300 research papers and received a CVPR best paper award nominee and a CVPR outstanding reviewer award.
Meysam Madadi
Universitat de Barcelona and Computer Vision Center, Spain
meysam.madadi@gmail.com
Meysam Madadi received his Bachelor degree in Software Engineering at BuAli Sina university of Hamedan and M.S. degree in Computer Vision and Artificial Intelligence at Universitat Autònoma de Barcelona (UAB) in 2007 and 2013, respectively. He has started his research activities by focusing on information retrieval and data mining since his bachelor project, continuing in master specifically on computer vision and image processing. He gave a special attention to pose recovery and human behavior analysis from his master thesis in title of Extraction of body soft-biometry from 3D videos using Kinect. He is interested in generating and developing new algorithms in these topics applying the knowledge in computer vision and retrieval systems besides machine learning, algorithms design in artificial intelligence, statistics, and linear algebra, among others.
Hugo Bertiche
University of Barcelona, Barcelona, Spain
hugo_bertiche@hotmail.com
received his Bachelor degree in Aeronautical Engineering at Universitat Politècnica de Catalunya (UPC) in 2015. Afterwards, he obtained the Master degree in Artificial Intelligence in 2017 at UPC, Universitat de Barcelona (UB) and Universitat Rovira i Virgili (URV). He is currently a PhD student at UB. His main research line is deep learning for human pose and shape recovery.