SHREC 2020: Multi-domain protein shape retrieval challenge stars
The article describing the performance of different shape similarity search methods on the protein shapes track of the SHREC2020 contest is available
The article describing the performance of different shape similarity search methods on the protein shapes track of the SHREC2020 contest is available
The article describing the performance of different shape similarity search methods on the protein shapes track of the SHREC2020 contest is available
Dr Maxime Maria is assistant professor in Xlim, University of Limoges and an associate member of the team. He is a former postdoctoral researcher of the ViDOCK team, funded by the ERC.
Guillaume Lavoué is currently Professor at the LIRIS laboratory (Univ-Lyon,INSA, Lyon). Guillaume Lavoué received his PhD from the University of Lyon (2005) where he is now an associate professor. He defended his habilitation title in 2013. His research interests include geometry processing, 3D data compression, visual quality assessment and perception for computer graphics. Guillaume Lavoue authored more than 30 journal papers and has been chairing the 10th Eurographics Workshop on 3D Object Retrieval (3DOR'2017). Since 2018 he is the coordinator of the PISCo project about interactive and immersive remote visualization of complex 3D scenes. Since 2018, he is an associated member of the ViDOCK project.
SHREC'19 Protein Shape Retrieval Dataset
This dataset has been designed for the SHREC'19 Protein Shape Retrieval track of the 3DOR workshop in the Eurographics 2019 conference (Genova, Italy)
The dataset is accessible at drugdesign.fr
The article describing the performance of different shape similarity search methods on the protein shapes track of the SHREC2018 contest is available
The article describing our global-to-local shape-similarity search system prototype has been published in the IEEE Biosmart 2017 conference