Marco Piccirilli
Ph.D.
Electrical Engineering
West Virginia University
D.Ing. Telecommunications
University of Padova - Italy

CV

I am on the job market for an industry machine learning/ computer vision research position.

I graduated with a Ph.D. in Electrical Engineering from West Virginia University. At WVU I worked under the supervision of Gianfranco Doretto and Donald Adjeroh on machine learning and computer vision for biometrics and biomedical applications. I am particularly interested in improving our understanding of important modeling problems in computer vision, and signal processing through the use of deep learning, optimization, theory, and statistics. The interest in medical imaging took me to join the newly established Heart and Vascular Institute and the new Cardiovascular Imaging center of innovation guided by Dr. Partho Sengupta M.D.. My most recent work is Domain Adaptation and Generalization.

News

Dec 2018 The work on Manifold Learning for Left Ventricular Diastolic Dysfunction has been accepted as moderated poster at ACC 19.
Oct 2018 I was a volunteer at the CHOICE Heart Health screening event.
Apr 2018 I started working as a researcher at Heart and Vascular Institute.
Dec 2017 I defended successfully my dissertation on machine learning approaches for human body shape analysis.
Oct 2017 I'll be presenting our poster on Unified Deep Supervised Domain Adaptation and Generalization at ICCV2017.
Jun 2016 I attended CVPR 2016 in Las Vegas, NV.
We presented our work on: Information Bottleneck Learning Using Privileged Information for Visual Recognition with my colleague Saeid Motiian.
May 2016 I attended the IEEE SPS Summer School on Signal Processing and Machine Learning for Big Data, Pittsburgh, PA.
July 2015 I attended the ICVSS15 International Computer Vision Summer School, Sicily Italy.
Organized by Roberto Cipolla, Sebastiano Battiato, and Giovanni Maria Farinella.
Mentored by Marc Pollefeys
Dec 2011 I attended IJCB 2011 in Washington DC
We presented our work:"Can facial metrology predict gender?" with Arun Ross, T. Bourlai, and Donald Adjeroh
Dec 2010 Our work: Predictability and correlation in human metrology, with Arun Ross and Donald Adjeroh has been presented at WIFS

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Education

Jan 2010 - May 2018 Ph.D. in Electrical Engineering
Computer Vision, Machine Learning, Biometric.
West Virginia University
Morgantown, WV (USA)
Fullfilled requirement for
Ms Computer Science
West Virginia University
- Apr 2007 "Laurea" Degree Telecommunication Engineering
Specialty: Optical Communication
Focus: Source coding, source-channel coding,
distribuited video coding.
Padua University (Italy)

Research Experience

April 2018 - Present Heart and Vascular Institute, School of Medicine, West Virginia University
Researcher
Machine learning and computer vision for Cardiovascular imaging.
Aug 2017 - Dec 2017 Heart and Vascular Institute, School of Medicine, West Virginia University
Graduate Assistant.
Machine learning and computer vision for Cardiovascular imaging.
Jan 2010 - May 2018 West Virginia University, Gianfranco Doretto, Donald Adjeroh
Machine learning, computer vision, biometrics
June 2013 - May 2014 Center for Identification Technology Research, Co-PI
Mobile Structured Light System for 3D Face Acquisition.
June 2010 - May 2012 Center for Identification Technology Research, Arun Ross, Bojan Cukic
Night Biometrics project funded by ONR’s Green Devil II initiative
Aug 2008 - Dec 2008 West Virginia University, Xin Li, Donald Adjeroh
Visiting Student
Segmentation of vessels structures, and macular retinopathy in retinal images.
Apr 2007 - Dec 2009 Department of Information Engineering (DEI), Padua Univ., Giancarlo Calvagno
Distribuited Video Coding with Continuous-Value Syndromes,
Segmentation of vessels structures, and macular retinopathy in retinal images.

Selected Publications

Google Scholar

Unified Deep Supervised Domain Adaptation and Generalization
S. Motiian, M. Piccirilli, D. A. Adjeroh, G. Doretto
ICCV 2017
[1] [abs] [pdf] [web]
A Framework for Analyzing the Whole Body Surface Area from a Single View
M. Piccirilli, G. Doretto, D.A. Adjeroh
PLOS One 2017
[2] [abs] [pdf] [blog1] [blog2]
Information Bottleneck Learning Using Privileged Information for Visual Recognition
S. Motiian M. Piccirilli D. A. Adjeroh G. Doretto
CVPR 2016
[3] [abs] [pdf]
A Mobile Structured Light System for 3D Face Acquisition
M. Piccirilli, G. Doretto, A. Ross, D.A. Adjeroh
IEEE SENSORS JOURNAL Apr. 2016
[4] [abs] [pdf] [blog]
Predictability and correlation in human metrology
D. Adjeroh, D. Cao, M. Piccirilli, A. Ross
WIFS 2010
[5] [abs] [pdf]

Honors & Awards

2014 Finalist Innovation Award West Virginia University
Jan 2014 Midsumo Challenge: Use Technology to optimize our system for measuring furniture.
Jun 2013 - Jun 2014 CiTer Grant-National Science Foundation Office within the Director Industry and University Cooperative Research Program. Project: A Mobile Structured Light System for 3D Face Acquisition.

Public service

Reviewer: ICPRAM14, AVSS, IEEE Sensor, TPAMI, ICCV17, CVPR18, BMJ, ACCV2018

Skills

Languages

C, C++, Java, Make, MatLab, Python, R

Frameworks

NumPy, Pandas, PyTorch, SciPy, TensorFlow, Torch7, Caffe, PCL, OpenFramework

Systems

Linux, OSX

Conference Proceedings

Unified Deep Supervised Domain Adaptation and Generalization
S. Motiian, M. Piccirilli, D. A. Adjeroh, G. Doretto
ICCV 2017
[C1] [abs] [pdf] [web]
Information Bottleneck Learning Using Privileged Information for Visual Recognition
S. Motiian M. Piccirilli D. A. Adjeroh G. Doretto
CVPR 2016
[C2] [abs] [pdf]
"Can facial metrology predict gender?"
D. Cao, C. Chen, M. Piccirilli, D. Adjeroh, T. Bourlai, and A. Ross.
IJCB
[C3] [abs] [pdf]
Predictability and correlation in human metrology
D. Adjeroh, D. Cao, M. Piccirilli, A. Ross
WIFS 2010
[C4] [abs] [pdf]

Journal Articles

A Framework for Analyzing the Whole Body Surface Area from a Single View
M. Piccirilli, G. Doretto, D.A. Adjeroh
PLOS One 2017
[J1] [abs] [pdf]
A Mobile Structured Light System for 3D Face Acquisition
M. Piccirilli, G. Doretto, A. Ross, D.A. Adjeroh
IEEE SENSORS JOURNAL Apr. 2016
[J2] [abs] [pdf]

Posters

Unified Deep Supervised Domain Adaptation and Generalization
Saeid Motiian, Marco Piccirilli, Donald A. Adjeroh, Gianfranco Doretto
ICCV 2017
[S1] [pdf]
The beef with food recognition: a comparison of machine learning techniques
Nathan Spencer, Marco Piccirilli, Don Adjeroh, Gianfranco Doretto
WVU SURE symposium 2015
[S2] [pdf]

Recent Blog Posts

Voice Verification of similar speech. December 5, 2016
A Mobile Structured Light System for 3D Face Acquisition June 5, 2014
A framework to study the Human Body Surface Area June 6, 2013
A Virtual Dataset of Human Bodies December 12, 2012

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Last updated on 2019-01-28