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Vittorio Murino

Visiting Scientist
Pattern Analysis and Computer Vision
Research center
Vittorio Murino is full professor @ University of Verona, Dept. of Computer Science, Verona, Italy, and visiting scientist at Pattern Analysis & Computer Vision (PAVIS) department in IIT. He was the former director of the Pattern Analysis & Computer Vision (PAVIS) from 2009 to 2019 (http://pavis.iit.it). From 2019 to 2021, he joined the Ireland Research Centre, Huawei Technologies (Ireland) Co. Ltd., Dublin, Ireland, 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 60 (2021), by Google Scholar http://scholar.google.com/citations?user=yV3_PTkAAAAJ

CV and main publications (pdf, @ Jan. 2022)


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
Article Journal
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
Article Journal
All Publications
Sanguineti V., Morerio P., Del Bue A., Murino V.
Audio-Visual Localization by Synthetic Acoustic Image Generation
Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)
Conference Paper Conference
Garcia N., Bargal S., Ablavsky V., Morerio P., Murino V., Sclaroff S.
Distillation Multiple Choice Learning for Multimodal Action Recognition
IEEE Winter Conference on Applications of Computer Vision
Conference Paper Conference
Zunino A., Bargal S.A., Morerio P., Zhang J., Sclaroff S., Murino V.
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
International Journal of Computer Vision, vol. 129, (no. 4), pp. 1139-1152
Article Journal
Bargal S.A., Zunino A., Petsiuk V., Zhang J., Saenko K., Murino V., Sclaroff S.
Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, (no. 11), pp. 4196-4202
Article Journal
Zhu X., Zhu X., Li M., Morerio P., Murino V., Gong S.
Intra-Camera Supervised Person Re-Identification
International Journal of Computer Vision, vol. 129, (no. 5), pp. 1580-1595
Article Journal
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
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