Autore: Luigi Cinque
DISEGNO + SMARTPHONE = MUSICA
DESCRIPTION AND OBJECTIVES OF THE PROJECT The project was born from the idea of two deserving students of the Computer Vision course at the Department of Computer Science at Sapienza University of Rome. The initial development involved using a computer and a few different cameras (one color and one depth) to allow a user to…
Advanced Deep Learning
The Laboratory is committed to technological innovation, and the team is dedicated to developing advanced neural networks, inspired by the latest advances in Neuroscience. We aim to apply these cutting-edge technologies to address complex challenges in various application fields, with a particular focus on the medical area. In our laboratory, we combine theory and practice…
Efficient Deep Learning
It involves the exploration and innovation of efficiency in deep learning based methods, such as Pruning, Quantization, and the engineering of streamlined models. This pivotal area of research is directed towards enhancing the operational efficiency and effectiveness of deep learning architectures by minimizing their computational demands and memory footprint. Such advancements are crucial for enabling…
Virtual, Augmented, and Mixed Reality (XR)
Virtual Reality (VR) and Augmented Reality (AR) are cutting-edge fields that revolutionize human perception and interaction with the digital world. Augmented Reality overlays computer-generated information onto the real-world environment, enhancing users’ experiences by providing additional context or interactive elements through devices like smartphones or AR glasses. This technology has applications ranging from gaming and navigation…
Wi-Fi Sensing
The laboratory is at the forefront of developing and applying Wi-Fi sensing technologies. Our goal is to explore and innovate how Wi-Fi networks can be used not only for communication but also to perceive and understand our surroundings. Through the analysis of Wi-Fi signals, we develop solutions capable of detecting movements, identifying people, mapping environments,…
Bio-informatics
Bioinformatics is an interdisciplinary field that combines biology, computer science, and information technology to analyze and interpret biological data. As the emergence of deep learning has transformed this field, providing unparalleled insights into complex biological data, we explore state-of-the-art models to unravel the complex patterns in biological signals, including but not limited to Electroencephalograms (EEGs),…
Robotics
Our research in this field primarily focuses on creating advanced robotic systems that leverage sophisticated computer vision algorithms to perceive their surroundings with high fidelity. These systems are designed to interpret complex visual inputs, allowing them to recognize objects, understand scenes, and navigate spaces autonomously. By integrating these capabilities with innovative human-computer interaction techniques, our…
Computer Vision
The Visionlab is a leader in innovative research within the field of computer vision. Directed by Luigi Cinque, our lab develops groundbreaking technologies and methodologies that significantly advance how computers interpret visual data, enhancing machine-human interactions and driving the evolution of autonomous systems. Research Areas: Image and Video Analysis:Our laboratory specializes in the development of…