Study of human pose
We study pose in videos and derive 2D and 3D information on the anatomical joints, the estimated head direction, and prototypical poses.
MLV
We investigate different nuances of visual perception in artificial intelligence systems, where computer vision and machine learning are combined to obtain robust data-driven methods addressing a variety of problems.
In this multidisciplinary world, we are interested in mathematically sound algorithms, computational models, and a wide range of applications.
In particular, we study and develop methods for scene understanding, motion analysis, and action recognition, with applications to assisted living, human-machine interaction, and robotics.
Research topics
Cognitively inspired motion understanding
We are interested in the strong interplay between visual computation and cognitive science. We apply our research in particular to HRI.
Scene analysis
We analyse the scene, detecting and tracking objects in 2D and 3D, with a focus on efficiency and on working under limited resources.
Collaborative projects
We bring our expertise in computer vision and machine learning on a variety of projects.
Computer vision for biomedical data challenges
We explore machine learning and computer vision solutions to challenges typical of biological and medical data, including learning with limited or no labels and interpretability. We design and implement methods for the solution of a broad range of biomedical data related applications.
People
Nicoletta
NocetiFrancesca
OdoneVito Paolo
PastoreMatteo
MoroLarbi
TouijerJacopo
DapuetoYara
Abdelmott…Khan
DadanManasa
PawarRoberto
Di ViaMassimiliano
CiranniPaolo Didier
AlfanoFederico
Figari Tomen…Alexander
StatsenkoMatteo
InterlandoAni
GjergjiXiaolin
XingGabriele
Bortolai
Past People
People
Federico Figari Tomenotti | 2020 → 2024 | PhD student | Computer Vision
Alessandro Piazza | 2024 | Student
Davide Marinelli | 2024 | Student
Clara Mouawad | 2023 | Student
Massimiliano Ciranni | 2023 | Research Scholar | Computer Vision
Elena Vincenzi | 2020 → 2023 | PhD student
Issa Mouawad | 2022 → 2023 | Research Scholar | Computer Vision
Simone Testa | 2023 | Post-doctoral fellow | Computer Vision
Elena Nicora | 2022 → 2023 | Post-doctoral fellow | Computer Vision
Matteo Moro | 2022 → 2023 | Post-doctoral fellow | Computer Vision
Luca Garello | 2022 → 2023 | PhD student | Vision and robotics
Massimiliano Ciranni | 2023 | Student
Simone Campisi | 2022 | Research Scholar
Matteo Ghirardelli | 2022 | Student
Issa Mouawad | 2022 | PhD student | Computer Vision
Marco Adorni | 2022 | Student
Elena Nicora | 2018 → 2022 | PhD student | Computer Vision
Matteo Moro | 2018 → 2022 | PhD student | Computer Vision
Elena Fenialdi | 2022 | Student
Tilani Gunawarden | 2022 | Post-doctoral fellow | Machine Learning for data science
Research projects
Most recent MLV research projects
- CLOSED
Undroid (Underwater Droid)
Unit MLVLeading scientist Francesca OdoneRole within the project Principal InvestigatorDuration 2021 - 2023Sponsors POR FESR Liguria (BK)Total funding 70 k€ - CLOSED
Cognitively-inspired architectures for human motion understanding
Unit MLVLeading scientist Nicoletta NocetiRole within the project Principal InvestigatorDuration 2020 - 2023Sponsors AFOSRTotal funding 163 k€ - CLOSED
More Than This
Unit MLVLeading scientist Francesca OdoneRole within the project Principal InvestigatorDuration 2021 - 2023Sponsors POR FESR Liguria (AK)Total funding 36 k€ - CLOSED
SMARTSTOP
Unit MLVLeading scientist Francesca OdoneRole within the project Principal InvestigatorDuration 2021 - 2023Sponsors POR FESR Liguria (Aitek)Total funding 40 k€
Publications
Most recent MLV publications
| Title | Year | Author | Venue |
|---|---|---|---|
| Anomaly detection in feature space for detecting changes in phytoplankton populations | 2024 | Ciranni M.; Odone F.; Pastore V. P. | FRONTIERS IN MARINE SCIENCE |
| Head pose estimation with uncertainty and an application to dyadic interaction detection | 2024 | Figari Tomenotti Federico; Noceti Nicoletta; Odone Francesca | COMPUTER VISION AND IMAGE UNDERSTANDING |
| Computer vision and deep learning meet plankton: Milestones and future directions | 2024 | Ciranni M.; Murino V.; Odone F.; Pastore V. P. | IMAGE AND VISION COMPUTING |
| Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods | 2024 | Alfano P. D.; Pastore V. P.; Rosasco L.; Odone F. | IMAGE AND VISION COMPUTING |
| In-domain versus out-of-domain transfer learning in plankton image classification | 2023 | Maracani A.; Pastore V. P.; Natale L.; Rosasco L.; Odone F. | SCIENTIFIC REPORTS |