Detailed Info Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm Authors:Mert Seker, Ansi Mannisto, Alexandros Iosifidis and Jenni RaitoharjuTitle:Automatic Social Distance Estimation From Images: Performance Evaluation,…
Detailed info Scalable neural architectures for end-to-end environmental sound classification AuthorsFrancesco Paissan, Alberto Ancilotto, Alessio Brutti, Elisabetta FarellaTitleScalable neural architectures for end-to-end environmental sound classificationAbstractSound Event Detection is a complex…
Detailed Info Dynamic hard pruning of Neural Networks at the edge of the internet Authors:Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele PeregoTitle:Dynamic hard pruning of Neural Networks at the…
Detailed info Responsible AI at the edge: towards privacy-preserving smart cities AuthorsLuca Zanella, Yiming Wang, Nicola Dall'Asen, Alberto Ancilotto, Francesco Paissan, Elisa Ricci, Elisabetta Farella, Alessio Brutti and Marco PistoreTitleResponsible…
Detailed Info Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks Authors:Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Michele Magno, Elisabetta Farella, Luca Benini.Title:Sub-mW Keyword Spotting…
A Smart City based on data acquisition, handling and intelligent analysis requires efficient design and implementation of the respective AI technologies and the underlying infrastructure for seamlessly analyzing the large amounts of data in real-time.
he Internet of Things (IoT) and smart city paradigm includes ubiquitous technology to extract context information in order to return useful services to users and citizens. An essential role in this scenario is often played by computer vision applications, requiring the acquisition of images from specific devices.
