Machine Intelligence. Department of Computer Science

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1 Machine Intelligence Department of Computer Science

2 Research Interests CG CV - IP ML - PR IA KR AR Computer Graphics Computer Vision Image Processing Machine Learning Pattern Recognition Intelligent Agents Knowledge Representation Automated Reasoning

3 People Dr. Manuele Bicego (ML, PR) home page Prof.ssa Maria Paola Bonacina (AR) home page Dr. Umberto Castellani (CG, CV, ML, PR) home page Prof. Ferdinando Cicalese (KR, ML) home page Dr. Matteo Cristani (IA, KR, AR) home page Prof. Marco Cristani (CV, PR) home page Prof. Alessandro Farinelli (IA) home page Prof. Andrea Giachetti (CG, CV, IP) home page Prof.ssa Gloria Menegaz (ML, IP) home page Prof. Vittorio Murino (CG, CV, ML, PR, IP) home page

4 Computer Graphics dr. Umberto Castellani prof. Andrea Giachetti Modeling 3D objects and scenes Mesh segmentation and skeletonization Shape google : a query-shape and retrieved models Feature points detection and description

5 Computer Graphics Visualization, gaming and visual interaction Augmented reality 3D interaction in Virtual Reality Video game development Facial animation

6 Computer Vision dr. Umberto Castellani prof. Marco Cristani prof. Andrea Giachetti automatic systems to perceive and understand the visual world 3D reconstruction Images and depth information 3D object segmentation

7 Computer Vision Not only rigid objects: a personal 3D structure, for medical or surveillance aims

8 Machine Learning Learn from data to make predictions or decisions dr. Umberto Castellani prof. Gloria Menegaz dr. Manuele Bicego Dictionary Learning Brain classification by Multiple Kernel Learning

9 Machine Learning Constrained Spectral Clustering for HARDI data Cortico-spinal tract segmentation

10 Pattern Recognition What is pattern recognition? dr. Umberto Castellani prof. Marco Cristani dr. Manuele Bicego What is this? Where am I? Is there a black sheep? How many pasta shapes automatic systems that can perform Pattern Recognition (e.g., classification, clustering, detection)

11 Pattern Recognition Person recognition (biometrics) Recognition from physiological traits: (how a person appears) Who is this guy? Classification of seismic signal Recognition from behavioural traits: (how a person behaves) Tracking groups of people Gait Electricity Consumption Usage of social networks

12 Image Processing Microstructure Brain connectivity ALPHA prof. Gloria Menegaz Neuroimaging Segmentation Brain mapping

13 Image Processing Medical image analysis prof. Andrea Giachetti Image Upscaling

14 Decision Trees (active learning and experimental design) prof. Ferdinando Cicalese Natural model for knowledge representation if then rules are naturally represented as decision trees Applications: Classification, automatic diagnosis, learning, sensor networks, event detection, information spreading in social networks, data base query optimization, If blood pressure is high then If glucose level is high then If creatinine high then high risk of kidney failure else if test else if MR reveals artery stenosis then Else if yes creatinine High blood pressure yes Glucose high no no MR test High risk of Kidney failure

15 Decision Trees (active learning and experimental design) Learning and Classification Partitioning labeled data Adaptive partition defined by a (decision) tree simple design simple interpretation simple implementation good performance collaborations: PUC-Rio (Brazil), Rényi Institute (Hungary), NII-Tokyo (Japan) Chalmers U. (Sweden), CMU (USA)

16 Intelligent Agents and MAS Develop agents that interact with environment and other agents Intelligent Agent Multi-Agent System prof. Alessandro Farinelli Optimization Uncertainty Complex Software Systems

17 Intelligent Agents and MAS Applications Scenarios Coordination for Rescue operations Group Formation (cons. social networks) Ride Sharing collaborations: Southampton Univ. (UK) IIIA-CSIC (Spain) Energy Puchasing

18 Research Groups: VIPS Computer Vision Computer Graphics dr. Umberto Castellani prof. Andrea Giachetti prof. Marco Cristani Machine Learning Image processing prof. Gloria prof. Vittorio Menegaz Murino dr. Manuele Bicego Statistical Pattern Recognition

19 Research Facilities 3 research zones and labs Research room (Ca Vignal 2, floor-2) Experiments room (Ca Vignal 2, floor-2) NavLab (Ca Vignal 2, floor-1) ~12 seats Advanced Technology Sensors (Kinect, Oculus Rift, Leapmotion, Brainwave) 23 December 2014 Take a look at: vips.sci.univr.it for more info 19 19

20 Start-up 3Dflow s.r.l. - computer vision and image processing evs s.r.l. embedded vision systems