Demo session

Where: Foyer (3rd floor)

When: Monday Jan 26 from 4:00 PM to 6:00 PM

The Demo Session of the GTTI Annual Winter Meeting on Multimedia Signal Processing offers attendees a hands-on showcase of innovative prototypes and technological solutions developed within the Italian MMSP research community. The demos highlight the practical impact of current research, ranging from advanced signal processing and intelligent sensing systems to immersive media and machine‑learning‑driven applications, demonstrating how scientific ideas evolve into working tools and platforms.
 

As usual, GTTI is sponsoring the Best Student Demo Award, a 500€ prize dedicated to recognizing outstanding student contributions in terms of originality, technical quality, and effectiveness of the live demonstration. All participants are invited to explore the demos, interact with the presenters, and discover the creativity and technical excellence that drive our community forward.

#NameSurnameInstitutionTitle
D01ChiaraSchiavoUniversità degli Studi di PadovaA VR Dive into 3D Gaussian Splatting
D02NischayPurnekarUniversità degli Studi di SienaTowards Physical Domain Adversarial Attacks Against License Plate Detection 
D03EleonoraDi SalvoSapienza Università di RomaExtended Reality Heart Representation Driven by Real-Time IoT ECG Measurements
D04Antonio LuigiStefaniUniversità degli Studi di TrentoAdaptive XR Rehab with Haptic Feedback and Dynamic Difficulty Adjustment
D05GiuliaMartinelliUniversità degli Studi di TrentoMove Your Twin: Live Digital Human Animation
D06Ayesha AshfaqUniversità degli Studi di GenovaHuman Behavior Modeling by Fusing Physiological Signals and VR Data Within a Self-Awareness Framework
D07SimoneTognocchiPolitecnico di MilanoWatchEDGE Smart Cameras for Real-Time Wildlife Detection at the Far Edge
D08SimoneTognocchiPolitecnico di MilanoOn-Device Sensor Calibration Using Self-Learning Neural Networks
D09Daniele UgoLeonzioPolitecnico di MilanoReal-Time Phone Call Analysis: A Comprehensive Multimodal Approach
D10FrancescaRonchiniPolitecnico di MilanoAI-Assisted Music Production: A demo for User Study on Text-to-Music Models