L U N C H Politecnico di Torino C M SEMINAR · C ABSTRACT BIOGRAPHY 16/01/19 DAU I N L U N C H 09...

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ABSTRACT BIOGRAPHY 16/01/ 19 DAUIN LUNCH 09 SEMINAR www.dauin.polito.it Lia Morra Research Assistant Dipartimento di Automatica e Informatica (DAUIN) Politecnico di Torino ore 12.30/13.30 Sala Conferenza “Luigi Ciminiera” Corso Castelfidardo 34/D Torino Ingresso libero fino a esaurimento posti. Per informazioni: [email protected] Sarà disponibile un leggero rinfresco per coloro che si saranno registrati entro il 15 gennaio su: https://dauin_lunch9.eventbrite.com Il ciclo di incontri dei “Dauin Lunch Seminar” avrà luogo ogni terzo mercoledì del mese dalle ore 12.30 (in punto) fino alle ore 13.30. mercoledì Lia Morra received the M.Sc. and the Ph.D. degrees in computer engineering from Politecnico di Torino university, Italy, in 2002 and 2006, respectively. Currently, she is with at the Dipartimento di Automatica e Informatica at Politecnico di Torino university, Italy. From 2006 to 2016 she joined im3D, where she served as Chief Scientific Officer from 2014 to 2017; she guided the team developing the core medical image analysis and artificial intelligence technology components from design to regulatory approval. Her research interests include computer vision, pattern recognition, machine learning and computer-assisted medical image interpretation. In the last years, deep learning has revolutionized computer vision inducing a profound paradigm shift. and leading to a rapid pace of innovations in all fields, from autonomous vehicles to social media, from industry 4.0 to healthcare. The seminar will present an overview of the state of the art in deep learning applications for artificial vision, including practical examples and case studies. Among the vast seminar will focus mostly on image understanding, from image classification to image captioning, and image retrieval. Likewise, limitations of deep learning and possible future research directions will be discussed. COMPUTER VISION AND MACHINE LEARNING: STATE OF THE ART AND NEW PERSPECTIVE

Transcript of L U N C H Politecnico di Torino C M SEMINAR · C ABSTRACT BIOGRAPHY 16/01/19 DAU I N L U N C H 09...

Page 1: L U N C H Politecnico di Torino C M SEMINAR · C ABSTRACT BIOGRAPHY 16/01/19 DAU I N L U N C H 09 SEMINAR Lia Morra Research Assistant Dipartimento di Automatica e Informatica (DAUIN)

C

ABSTRACT

BIOGRAPHY

16/01/19

D A U I NL U N C H

09

SEMINAR

www.dauin.polito.it

Lia Morra Research Assistant

Dipartimento di Automatica eInformatica (DAUIN)

Politecnico di Torino

ore 12.30/13.30

Sala Conferenza“Luigi Ciminiera”Corso Castelfidardo 34/D

Torino

Ingresso libero fino a esaurimento posti.Per informazioni: [email protected]à disponibile un leggero rinfresco per coloro che si saranno registrati entro il 15 gennaio su: https://dauin_lunch9.eventbrite.com

Il ciclo di incontri dei “Dauin Lunch Seminar” avrà luogo ogni terzo mercoledì del mese dalle ore 12.30 (in punto) fino alle ore 13.30.

mercoledì

Lia Morra received the M.Sc. and the Ph.D. degrees in computer engineering from Politecnico di Torino university, Italy, in 2002 and 2006, respectively. Currently, she is with at the Dipartimento di Automatica e Informatica at Politecnico di Torino university, Italy. From 2006 to 2016 she joined im3D, where she served as Chief Scientific Officer from 2014 to 2017; she guided the team developing the core medical image analysis and artificial intelligence technology components from design to regulatory approval. Her research interests include computer vision, pattern recognition, machine learning and computer-assisted medical image interpretation.

In the last years, deep learning has revolutionized computer vision inducing a profound paradigm shift. and leading to a rapid pace of innovations in all fields, from autonomous vehicles to social media, from industry 4.0 to healthcare. The seminar will present an overview of the state of the art in deep learning applications for artificial vision, including practical examples and case studies. Among the vast seminar will focus mostly on image understanding, from image classification to image captioning, and image retrieval. Likewise, limitations of deep learning and possible future research directions will be discussed.

COMPUTER VISION AND MACHINE LEARNING:STATE OF THE ART AND NEW PERSPECTIVE