Visual Knowledge Graphs & Multimodal LLMs
Our research group investigates the intersection of Large Language Models (LLMs), multimodal learning (with a focus on vision), and graph theory. We aim to build more intelligent, robust, and explainable AI systems capable of understanding and interacting with the world in a meaningful way. Potential topics: Visual Knowledge Graphs & LLMsOur research explores enhancing Large […]
Data & Evaluation (Fundamentals and Tools)
In computer science, building powerful AI models isn’t enough – we need to ensure they work reliably and fairly in the real world. Data & Evaluation is the field focused on making that happen. It covers two main parts: Datasets: This involves creating high-quality collections of data used to train and test AI models. It’s […]
Infrastructure & Hardware (Implementation and Optimization)
Among the many areas of expertise within our research laboratory, we also focused on the efficient implementation of neural networks using advanced compiler techniques. Our work includes optimizing CPU and GPU kernels to improve performance, reduce training time, and increase the scalability of machine learning models. Leveraging principles of systems programming, we also design high-performance […]
Representation Learning and Multimodal Alignment
Representation learning and multimodal alignment are two pivotal concepts at the heart of advancing AI’s ability to understand and interact with the world in a more comprehensive and human-like manner. Representation learning focuses on developing techniques that allow AI models to automatically discover and learn meaningful representations of data, enabling them to capture the underlying […]
Advanced Deep Learning, Architectures and Efficiency (Models and Techniques)
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 […]
eXtended Reality (XR) and Human-Centric Aspects
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, […]
Medical Data Analysis & Diagnosis (Strong Bioinformatics Focus)
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, Image and Video Processing
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 […]