CALL FOR PAPERS ************************************************************* 11th Workshop on Scalable Computing (WSC'20) https://www.fedcsis.org/2020/wsc Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020), Track 2 Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ https://www.fedcsis.org/2020/css ************************* COVID-19 Information ************************* Taking into account lack of certainty that it will be possible to organize the conference […]

The 17th ACM SIGGRAPH European Conference on Visual Media Production (CVMP 2020)10–11 December 2020Virtual conference https://www.cvmp-conference.org/Call for Submissions For over a decade, CVMP has built a reputation as the prime venue for researchers to meet with practitioners in the Creative Industries: film, broadcast and games. The Conference brings together expertise in video processing, computer vision, […]

CALL FOR NOMINATIONS – 2020 PAMI Everingham Prize Award This annual award is given to a researcher, or a team of researchers, who have made a selfless contribution of significant benefit to other members of the computer vision community. The award is given out by the IEEE Pattern Analysis and Machine Intelligence (PAMI) Technical Committee, […]

MICCAI’20 SHAPEMI Workshop on Shape Analysis in Medical Imaging https://shapemi.github.io/ ****************************************************************** Description We gladly announce the second workshop for Shape Analysis in Medical Imaging (SHAPEMI, https://shapemi.github.io/) held in conjunction with MICCAI – Medical Image Computing and Computer Assisted Interventions, as a virtual event on (or around) Oct 4, 2020.  Aim and Scope Shape and geometry methods […]

“>Notification: 10 November 2020 Camera ready: 15 November 2020 Workshop: 11 January 2021     CALL FOR PAPERS: Recent years have seen significant advances in image processing and computer vision applications based on Deep Neural Networks (DNNs). Often deep neural networks for such applications are trained and validated based on the assumption that the images are […]