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Vittorio Murino

Affiliated Researcher
Pattern Analysis and Computer Vision
Research center
Vittorio Murino is full professor @ University of Verona, Dept. of Computer Science, Verona, Italy, and affiliated researcher of the Pattern Analysis & Computer Vision (PAVIS) at the Italian Institute of Technology (IIT), where he has been the former (and first) director (Principal Investigator) from 2009 to 2019 (https://pavis.iit.it/). From 2019 to 2021, he joined the Huawei Ireland Research Centre, Huawei Technologies (Ireland) Co. Ltd., in Dublin, as Senior Video Intelligence Expert.

Main expertise on computer vision and pattern recognition, machine learning, image and signal processing, and neuroimaging (data analysis). His main research focus lies now on deep learning, specifically on domain adaptation and generalization, multi-modal deep learning models, learning with privileged information, zero/one/few-shot learning and imbalance data in general, and disentangling representation models. Related applications involve classification and recognition in general, in supervised  and unsupervised scenarios, including (fine-grained) activity recognition.

He has a 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.

Concerning the biomedical area, Prof. Murino's main work and interest 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 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.

He is author/co-author of more than 400 papers in computer vision, pattern recognition, machine learning, image processing, and underwater acoustic imaging published in refereed international scientific journals or presented at the major conferences.

IEEE Fellow, the Institute of Electrical and Electronics Engineers (since 2022). Formerly, IEEE Senior Member (since 2002).

IAPR Fellow, International Association of Pattern Recognition (since 2006).

ELLIS Fellow, European Laboratory for Learning and Intelligent Systems (since 2021).

H-number 66 (2023), by Google Scholar
H-number 50 (2023), by Scopus


Title: PhD in Electronic Engineering and Computer Science
Institute: University of Genova
Location: Genova
Country: Italy
From: 1989 To: 1992

Title: Laurea in Electronic Engineering
Institute: University of Genova
Location: Genova
Country: Italy
From: 1983 To: 1989


Computer Vision

Deep Learning

Machine Learning

Pattern Recognition

Multimedia, Signal, Image and Video Processing

Top Publications
Beyan C., Capozzi F., Becchio C., Murino V.
Prediction of the leadership style of an emergent leader using audio and visual nonverbal features
IEEE Transactions on Multimedia, vol. 20, (no. 2), pp. 441-456
Vascon S., Mequanint E.Z., Cristani M., Hung H., Pelillo M., Murino V.
Detecting conversational groups in images and sequences: A robust game-theoretic approach
Computer Vision and Image Understanding, vol. 143, pp. 11-24
Bazzani L., Zanotto M., Cristani M., Murino V.
Joint Individual-Group Modeling for Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, (no. 4), pp. 746-759
Bazzani L., Cristani M., Murino V.
Symmetry-driven accumulation of local features for human characterization and re-identification
Computer Vision and Image Understanding, vol. 117, (no. 2), pp. 130-144
All Publications
Thakur S., Beyan C., Morerio P., Murino V., Bue A.D.
Anticipating Next Active Objects for Egocentric Videos
IEEE Access
Article Journal
Ciranni M., Murino V., Odone F., Pastore V.P.
Computer vision and deep learning meet plankton: Milestones and future directions
Image and Vision Computing, vol. 143
Review Journal
Thakur S., Beyan C., Morerio P., Murino V., Del Bue A.
Leveraging Next-Active Objects for Context-Aware Anticipation in Egocentric Videos
Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024, pp. 8642-8651
Conference Paper Conference
Sanguineti V., Thakur S., Morerio P., Del Bue A., Murino V.
Audio-Visual Inpainting: Reconstructing Missing Visual Information with Sound
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2023-June
Conference Paper Conference
Domenici N., Sanguineti V., Morerio P., Campus C., Del Bue A., Gori M., Murino V.
Computational modeling of human multisensory spatial representation by a neural architecture
PLoS ONE, vol. 18, (no. 3 March)
Murino V.
Artificial Intelligence: from research to business, to everyday life
Forum ABI Lab 2018
Public Event
Scientific Talks
Murino V.
Facing the dataset bias: domain adaptation and generalization
3rd IEEE Int’l Conf. on Image Processing, Applications and Systems IPAS 2018
Murino V.
Understanding Human Intentions and Actions from Kinematics
ISR - Instituto Superior Técnico
Murino V.
Person Re-identification: state of the art and current trends
6th Int’l Conference on Pattern Recognition Applications and Methods ICPRAM 2017, Porto, Portugal
Murino V.
Groups and Crowds: Detection, Tracking and Behavior Analysis of People Aggregations
11th Int’l Conference on Computer Vision Theory and Applications VISAPP 2016, Rome, Italy
Sona D., Zanotto M., Papaleo F., Murino V.
Automated Discovery of Behavioural Patterns in Rodents
9th International Conference on Methods and Techniques in Behavioral Research
Awards and Achievements
Thakur S., Beyan C., Morerio P., Murino V., Del Bue A.
Winner CVPR23 EGO4D STA Challenge
Beyan C., Murino V., Venture G., Wykowska A.
Frontiers in Robotics and AI
Beyan C., Murino V., Wykowska A.
Frontiers in Robotics and AI, Humanoid Robotics
Yang M.Y., Rosenhahn B., Murino V.
Multimodal Scene Understanding. Algorithms, Applications and Deep Learning
Murino V., Cristani M., Shah S., Savarese S.
Group and Crowd Behavior for Computer Vision
Hà Quang M., Murino V.
Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization
Organized Events
Joshi S., Murino V., Srivastava A., Turaga P., Vemuri B.
5th International Workshop on Differential Geometry in Computer Vision and Machine Learning - Diff-CVML 2020
Morerio P., Rota P., Yang Y. M., Rosenhahn B., Murino V.
2nd Multimodal Learning and Applications Workshop (MULA 2019)
Aghaei M., Beyan C., De la Torre F., Murino V.
Workshop on Applications of Egocentric Vision (EgoApp)
Aghaei M., Beyan C., De la Torre F., Murino V.
Workshop on Applications of Egocentric Vision (EgoApp)
Rota P., Murino V., Yang M.Y., Rosenhahn B.
1st Multimodal Learning and Applications Workshop