Vittorio Murino

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Foto, September 12, 2019
Position
Full Professor
Academic sector
INFO-01/A - Informatics
Research sector (ERC-2024)
PE6_7 - Artificial intelligence, intelligent systems, natural language processing

PE6_8 - Computer graphics, computer vision, multimedia, computer games

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Research sector (ERC)
PE6_7 - Artificial intelligence, intelligent systems, multi agent systems

PE6_8 - Computer graphics, computer vision, multi media, computer games

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Office
Ca' Vignal 2,  Floor 1,  Room 1.60
Telephone
+39 045 802 7996
E-mail
vittorio|murino*univr|it <== Replace | with . and * with @ to have the right email address.
Personal web page
https://www.vittoriomurino.com/

Office Hours

Monday, Hours 5:00 PM - 6:30 PM,   Ca' Vignal 2, Floor 1, room 1.60
In case of need to fix a meeting, please, contact the teacher via email to agree the date & time.

Curriculum

Prof. Murino's main research interests and expertise involve computer vision and machine/deep learning, pattern recognition, image and signal processing, and neuroimaging/neuroscience (computational, mainly related to data analysis).

In particular:
  • His main research focus lies on deep learning nowadays, specifically on domain adaptation and generalization, multi-modal deep learning models, learning with privileged information, zero/one/few-shot learning, and disentangling representation models. Related applications involve classification and recognition in general, in supervised  and unsupervised scenarios, including (fine-grained) activity recognition.
  • He has particular interest in multimodal social signal processing approaches for the analysis of human behavior, with main applications related to surveillance and security, human-human and human-machine interaction, ambient intelligence, and retailing. Also major experience in standard industrial applicative domains such as visual inspection and automation.
  • He is also tackling biomedical applications: main work and interests lie in neuroimaging data analysis, namely Magnetic Resonance Imaging and, in particular, in the study of neural correlates responsible of (social) behavior, with applications in behavioral neurological pathologies (e.g., schizophrenia, autism, etc.) and brain function understanding in general. We deal with these problems using a connectomics approach, specifically by integrating structural and functional connectomics data/information.
  • He has a notable former experience in underwater vision (acoustical and optical), data fusion and sensory integration with applications on (underwater) object detection and recognition, object and scene reconstruction.
The research activities are performed in the context of EU, national and industrial projects in direct collaboration with other universities, research centers and companies.

Modules

Modules running in the period selected: 57.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Master's degree in Artificial intelligence Computer Vision & Deep Learning (2024/2025)   6  eLearning 6 
Master's degree in Artificial intelligence Machine Learning & Deep Learning (2024/2025)   12    2  (Deep Learning - Laboratorio)
2  (Deep Learning - Teoria)
Master's degree in Artificial intelligence Computer Vision & Deep Learning (2023/2024)   6  eLearning 6 
Master's degree in Computer Engineering for Robotics and Smart Industry Machine learning & artificial intelligence (2023/2024)   9  eLearning 3  (Teoria)
2  (Laboratorio)
Master's degree in Artificial intelligence Computer Vision & Deep Learning (2022/2023)   6  eLearning 6 
Master's degree in Computer Engineering for Robotics and Smart Industry Machine learning & artificial intelligence (2022/2023)   9  eLearning 7  (Teoria)
2  (Laboratorio)
Master's degree in Computer Engineering for Robotics and Smart Industry Deep Learning (2021/2022)   6  eLearning 1  (Teoria)
Master's degree in Computer Engineering for Robotics and Smart Industry Machine learning & artificial intelligence (2021/2022)   9  eLearning 7  (Teoria)
2  (Laboratorio)
Master's degree in Computer Engineering for Robotics and Smart Industry Machine learning & artificial intelligence (2020/2021)   9  eLearning 7  (Teoria)
2  (Laboratorio)
Master's degree in Computer Science and Engineering Machine Learning & Pattern Recognition (2019/2020)   6  eLearning 2  (Laboratorio)
4  (Teoria)
Bachelor's degree in Multimedia Information Technology (until 2008-2009) Digital Image and Sound Processing (2008/2009)   10    1  Laboratorio Immagini
4  Immagini
Masters in Intelligent and Multimedia Systems Pattern Recognition (2008/2009)   5    1  Laboratorio
4  Teoria
Bachelor's degree in Bioinformatics (until 2008-2009) Riconoscimento e classificazione per la bioinformatica (2008/2009)   7    5  Teoria
2  Laboratorio
Bachelor's degree in Multimedia Information Technology (until 2008-2009) Digital Image and Sound Processing (2007/2008)   10    4  Immagini
1  Laboratorio Immagini
Bachelor in Computer Science (until 2008-2009 academic year) Human-computer Interaction and Multimedia (2007/2008)   5    1  Laboratorio
4  Teoria
Masters in Intelligent and Multimedia Systems Pattern Recognition (2007/2008)   5    4  Teoria
1  Laboratorio
Bachelor's degree in Multimedia Information Technology (until 2008-2009) Digital Image and Sound Processing (2006/2007)   10    1  Laboratorio Immagini
4  Immagini
Bachelor in Computer Science (until 2008-2009 academic year) Human-computer Interaction and Multimedia (2006/2007)   5    5 
Masters in Intelligent and Multimedia Systems Pattern Recognition (2006/2007)   5    5 
Bachelor's degree in Multimedia Information Technology (until 2008-2009) Digital Image and Sound Processing (2005/2006)   10    1  Laboratorio Immagini
4  Immagini
Bachelor in Computer Science (until 2008-2009 academic year) Human-computer Interaction and Multimedia (2005/2006)   5    5 
Masters in Intelligent and Multimedia Systems Pattern Recognition (2005/2006)   5    5 
Bachelor in Information Technology: Multimedia Digital Image and Sound Processing (2004/2005)   10      Immagini
Bachelor in Computer Science (until 2008-2009 academic year) Human-computer Interaction and Multimedia (2004/2005)   5     
Masters in Intelligent and Multimedia Systems Pattern Recognition (2004/2005)   5     
Bachelor in Information Technology: Multimedia Digital Image and Sound Processing (2003/2004)   10      Teoria
Bachelor in Computer Science (until 2008-2009 academic year) Human-computer Interaction and Multimedia (2003/2004)   5     
Bachelor in Computer Science (old system) Image Processing (2003/2004)   0     
Masters in Intelligent and Multimedia Systems Pattern Recognition (2003/2004)   5     
Bachelor in Information Technology: Multimedia Digital Image and Sound Processing (2002/2003)   10      Teoria
Bachelor in Computer Science (until 2008-2009 academic year) Human-computer Interaction and Multimedia (2002/2003)   5     
Bachelor in Computer Science (old system) Image Processing (2002/2003)   0     
Masters in Intelligent and Multimedia Systems Pattern Recognition (2002/2003)   5     
Bachelor in Computer Science (until 2008-2009 academic year) Human-computer Interaction and Multimedia (2001/2002)   5     
Bachelor in Computer Science (old system) Image Processing (2001/2002)   0     
Bachelor in Information Technology: Multimedia Image Processing (2001/2002)   5     
Bachelor in Information Technology: Multimedia Image Processing: Principles (2001/2002)   0     
Bachelor in Computer Science (old system) Human-computer Interaction (2000/2001)   1     
Bachelor in Computer Science (old system) Image Processing: Principles (2000/2001)   0     
Bachelor in Computer Science (old system) Image Processing: Vision (2000/2001)   1     
Bachelor in Computer Science (old system) Computing workshop (1999/2000)   1     
Bachelor in Computer Science (old system) Image Processing: Principles (1999/2000)   1     
Bachelor in Computer Science (old system) Image Processing: Vision (1999/2000)   1     

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Research groups

Vision, Images, Patterns and Signals (VIPS)
VIPS activities are devoted to the analysis, recognition, modeling and prediction of multivariate multidimensional signals and patterns by artificial intelligence and machine learning techniques. Specific expertise and application domains include image processing, computer vision, pattern recognition, machine learning, human-machine interaction, computer graphics, mixed reality and gaming, analysis and modeling of biomedical and neuroscience data for both basic and translational research.
Research interests
Topic Description Research area
Modellazione statistica di dati multimediali Modellazione di immagini e video, utilizzando strumenti statistici e probabilistici, quali modelli generativi (misture di Gaussiane, modelli di Markov a stati nascosti), discriminativi (Kernel Machines) ed embedding generativi, in spazi euclidei e non. Tale modellazione porta ad applicazioni come riconoscimento e rivelamento di oggetti, tracking, che si collocano nell'ambito della video sorveglianza, analisi di dati medicali e nell'analisi di segnali sociali o social signal processing. In particolare, le mie specialità attuali sono la re-identificazione e la detection per la sorveglianza, la segmentazione e classificazione per l'analisi di segnali medicali e l'analisi di attività interattive per il social signal processing. Artificial Intelligence
Artificial intelligence
Sistemi avanzati per il riconoscimento Due sono gli ambiti principali di ricerca: 1) studio di descrittori di basso livello per addestrare classificatori avanzati; in questo caso, l'idea è di progettare descrittori compatti e informativi per l'object recognition e detection. Particolare enfasi viene data allo studio di descrittori giacenti su spazi non euclidei, come varietà Riemanniane, manipolando nozioni di Information Geometry 2) studio di tecniche di classificazione ibride generative e discriminative; qui l'obiettivo è di sfruttare le caratteristiche vincenti dei modelli generativi (misture di Gaussiane, modelli di Markov a stati nascosti, topic models) e dei modelli discriminativi (Support Vector Machines) combinandole attraverso meccanismi di embedding. In tal maniera, le misure di bontà dei classificatori risultanti superano quelle dei modelli di partenza. Artificial Intelligence
Artificial intelligence
Video Surveillance and Monitoring This research aims at the analysis of people and the interpretation/recognition of human activities, possibly at the detection and prediction of events in unconstrained scenes, at individual, group and crowd level. In particular, the main target is on the analysis of nonverbal human behaviour, activities, and dialogue classification by considering vocal behavior, face & gazing, gesture & posture, space & environment. More specifically, the focus is on tracking and re-identification, object/person detection and classification, human pose estimation and activity recognition, automatic PTZ camera control, subjective surveillance, mobile sensing, data fusion. Artificial Intelligence
Artificial intelligence
Computer Vision Investigation of computational tools for the analysis of images and videos, with main goal of extracting useful information. In particular, 2D/3D object classification, 3D reconstruction, person detection and classification, video analysis and understanding, activity recognition, and in biometrics (face recognition and authentication, facial feature extraction, multimodal biometrics, behavioural biometrics) with application in video surveillance and biomedical image analysis. Artificial Intelligence
Artificial intelligence
Projects
Title Starting date
Multimodal Elder Care - MEC 6/6/24
TRANSFER AND ADAPTIVE LEARNING IN IMPERFECT MULTIMODAL DATA SCENARIOS - TALIM 5/1/24
Studio di tecniche di apprendimento profondo per la segmentazione semantica di immagini 12/7/23
Tecnologie di Intelligenza Artificiale per il Monitoraggio del Comportamento di Pazienti Allettati - TIAMoPA 8/31/23
Study and development of unsupervised and self-supervised, multimodal training methods, and domain adaptation and distillation, for the analysis of human behavior in automotive applications 9/14/21
Studio e sviluppo di metodi multi-camera di rilevamento ostacoli per la guida assistita di veicoli in ambienti industriali 10/26/20
Analisi e classificazione di comportamenti sociali mediante modelli grafici probabilistici generativi (PRIN 2008) 1/27/10
SAMURAI - Suspicious and abnormal Behaviour monitoring using a network of cameras and sensor for situation awareness enhancement 6/1/08
SIMBAD - Similarity-Based Pattern Analysis and Recognition 4/1/08
Analisi di immagini acquisite in tempi diiversi e stima delle eventuali variazioni 7/12/07
INtelligent Vision system for Industrial Automation (INVIA) - Joint Project 2005 3/13/07
Metodi generativi e discriminativi per classificazione e clustering di dati (PRIN 2006) 2/9/07
Sound synthesis by physical models of the piano 1/1/07
Ottimazione finale di un programma interattivo per la resa grafica di pavimentazioni a partire da immagini fotografiche - Parte 3 12/15/06
Adattamento del SW di calibrazione al Killing Sensing System e messa a punto del SW di processing per 3D Acoustic Camera 10/17/06
Sviluppo di un programma interattivo per la resa grafica di pavimentazioni ed opere in muratura a partire da immagini fotografiche - Parte 2 4/4/06
Sviluppo di un programma interattivo per la resa grafica di pavimentazioni ed opere in muratura a partire da immagini fotografiche - Parte 1 11/17/05
Studio di tecniche di analisi e sintesi multimodale per applicazioni di interazione intelligente utente – calcolatore. 10/1/05
Studio e sperimentazione di un sistema intelligente per la rilevazione automatica di difetti su flaconi ad uso farmaceutico 7/13/05
Implementazione Sistema Visione IA 11/10/04
Analysis and development of image processing algorithms in FPGA 10/1/04
Tecniche di analisi e sintesi multimodale per la realtà aumentata e l'interazione uomo–macchina 7/1/04
Studio e sviluppo di algoritmi di elaborazione dati 3D acustici di elevata risoluzione - Fase 1 2/6/04
Sistema di visione stereo per l'estrazione di dati tridimensionali in tempo reale 2/3/04
Sistema automatico di acquisizione e modellazione 3D a basso costo (LIMA3D) 12/1/03
Implementazione del Sistema di Visione IA 6/9/03
Ricostruzione e modellazione tridimensionale di oggetti e scene (2003) 1/1/03
Internationally Co-tutored PhD Program in Computer Science with specialization in Computer Vision, Pattern Recognition, and Image Processing 1/1/03
Tecniche di inseguimento basate su modelli per la navigazione di veicoli autonomi spaziali. 11/28/01
SOL The Sounding Landscape 10/10/01
AUREA Augmented Reality for Teleoperation of Free Flying Robots 5/20/01
SPA.DA. - Analisi ed elaborazione di informazione spaziale di tipo vettoriale e raster nei Sistemi Informativi Territoriali. 1/1/01
ARROV - Augmented Reality for Remotely Operated Vehicles based on 3D acoustical and optical sensors for underwater inspection and survey (project no. GRD1-2000-25409) 1/1/01




Vittorio Murino
Office Collegial Body
member Computer Science Teaching Committee - Department Computer Science
member Comitato Scientifico del Master in Comitato Scientifico del Master in Progettazione Multimediale e Video
Scientific committee for the Master in Medical Biomedical data and telecontrol Information technology Elaboration
Scientific committee for the Masters in Multimedia and Video Creation
member Computer Science Department Council - Department Computer Science

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