The Pattern Analysis and Computer Vision (PAVIS) research line is actively developing an artificial intelligence (AI) infrastructure to understand our physical space and the human behaviors within it.
The focus is on creating intelligent systems that jointly accomplish two main goals:
Pattern Analysis and Computer Vision
Last Publications
2023
Mohammadi S. S., Duarte N. F., Dimou D., Wang Y., Taiana M., Morerio P., Dehban A., Moreno P., Bernardino A., Del Bue A., Santos-Victor J.
3DSGrasp: 3D Shape-Completion for Robotic Grasp
2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 6
2023
Savian S., Elahi M., Janes A., Tillo T.
Benchmarking equivariance for Deep Learning based optical flow estimators
Signal Processing: Image Communication
2023
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)
Videos
Intelligent Sensor Network for assistive AI Research
Introduction to MEMEX Project
Aworld - AI powered visual localization
PAVIS - Overview
SceneUnderLight - IIT - UNIVR - OSRAM
Drone Localization with Augmented Acoustic Imaging
Principal Investigator
Pattern Analysis and Computer Vision
- Offerte di lavoro
- Post Doc position on Human Motion Tracking and Behavior analysis