The 4th UG2+ Workshop and Prize Challenge: Bridging the Gap between Computational Photography and Visual Recognition. In conjunction with CVPR 2021, June 19 Website: http://www.ug2challenge.org/ Contact: cvpr2021.ug2challenge@gmail.com Track 1: Object Detection in Poor Visibility Environments [Register: https://forms.gle/Yf853QgPL5xCUy5k6] A dependable vision system must reckon with the entire spectrum of complex unconstrained and dynamic degraded outdoor environments. It is highly desirable to study to what extent, […]
Archive for the ‘Congress’ Category
AI for Content Creation (AICC) Workshop @ CVPR 2021
February 24th, 2021
Daniela Lopez de Luise AI for Content Creation (AICC) Workshop @ CVPR 2021 http://visual.cs.brown.edu/aicc2021/ Submissions due March 8th 2021 11:59 PST: https://cmt3.research.microsoft.com/AICC2021/ The AI for Content Creation (AICC) workshop at CVPR 2021 brings together researchers in computer vision, machine learning, and AI. Content creation has several important applications ranging from virtual reality, videography, gaming, and even retail and advertising. […]
Applications of Artificial Intelligence for Sustainable Development – Sustainability (MDPI)
February 24th, 2021
Daniela Lopez de Luise Special Issue “Applications of Artificial Intelligence for Sustainable Development (AAISD)” Artificial Intelligence (AI) in general and some of its subfields in particular are being perceived as some of the most promising technologies today. Furthermore, they are being successfully applied to a wide variety of problems in both academia and industry. There has been a constantly […]
24th Workshop on Requirements Engineering (WER 2021)
February 24th, 2021
Daniela Lopez de Luise Short-Call-for-Papers-WER-2021_con-logo.pdf
IEEE CBMS 2021 – DEADLINE EXTENDED – Special Track on “Artificial Intelligence for -omics sciences: radiomics and beyond”
February 24th, 2021
Daniela Lopez de Luise Special Track “Artificial Intelligence for -omics sciences: radiomics and beyond” @ IEEE CBMS 2021 https://cbms2021.pt/st-artificial-intelligence-for-omics/




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