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Recently, text-based image generation models can automatically create high-resolution, high-quality images solely from ...
A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...
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Que.com on MSNAI’s Limitations Highlighted by Nobel Laureate on Black Hole ImageThe advent of artificial intelligence (AI) has revolutionized numerous fields, including astronomy. From analyzing vast datasets to simulating cosmic events, ...
The aim of this study is to comprehensively assess newly developed CT image reconstruction algorithms and image post-processing algorithms to determine procedural improvements, if any, that could be ...
Among them, HID highlights the importance of cameras with built-in “face-aware capabilities” and advanced capture technologies like multi-spectral imaging, which is used by HID’s U.ARE.U cameras. On ...
School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China School of Information Science and Technology, Taishan University, Taian ...
Abstract: Many applications in real-time signal, image, and video processing require automatic algorithms for rapid characterizations of signals and images through fast estimation of their underlying ...
Department of Computer Science and Engineering, Center for Communication and Information Sciences, University of Nebraska-Lincoln Lincoln, NE 68588, U.S.A. Research supported by N.S.F. grant DMS ...
China Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou Big Data & AI Research and Engineering Center, Suzhou 215123, China ...
which is built on similarity-guided graph attention (SGA) and a variational autoencoder-Transformer (VAET). Specifically, we develop a similarity measure algorithm to compute the similarity degree ...
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