Address book
Contacts
PIETRO ZANUTTIGH
Position
Professore Associato
Address
VIA G. GRADENIGO, 6/B - PADOVA
Telephone
0498277782
Pietro Zanuttigh was born in 1978. He graduated in Computer Engineering at the University of Padova in 2003 and got the PhD from same university in 2007. He has been an assistant professor at the University of Padova from 2007 to 2020. From 2020 he is associate professor at the same university. He has also been a visiting researcher at the University of New South Wales (Sydney, Australia) in 2006 and in 2010. He works in the multimedia technology and telecommunications group and his research activity is focused on image and 3D data processing and understanding. His research interest includes semantic scene understanding, domain adaptation and incremental learning techniques for deep networks, 3D data acquisition, Time-of-Flight sensor data processing, gesture recognition. He is an associate editor of Springer's Visual Comptuter and an editorial board member of MDPI technologies. He has been a guest editor of IEEE Multimedia and of the International Journal of Digital Multimedia Broadcasting and a technical program committee member of various workshop and conferences. He has co-authored two books and many journal papers and conference proceedings.
His main research interests are:
- Fusion of multiple sensors for 3D data acquisition (cameras and Time-Of-Flight sensors)
- Time-of-Flight sensors data processing
- Hand gesture recognition with depth data
- Semantic segmentation from color and depth data
- Knowledge Transfer techniques for deep networks
- 3D shape classification
- Scalable compression of multi-view plus depth representations
- Compression of depth maps
- Transmission and interactive remote visualization of 3D scenes
- Handheld scanning with depth cameras
For more details look at: https://medialab.dei.unipd.it/members/pietro-zanuttigh/
Notices
Office hours
at DEI/A stanza 216
Contattare il docente via email (zanuttigh@dei.unipd.it) o al telefono (7782) per fissare un appuntamento.
Teachings
- COMPUTER VISION, AA 2024 (INP9087844)
- COMPUTER VISION, AA 2024 (INP9087844)
- COMPUTER VISION, AA 2024 (INP9087844)
- COMPUTER VISION, AA 2024 (INP9087844)
- COMPUTER VISION (MOD. B), AA 2024 (INQ4106669)
- COMPUTER VISION (MOD. B), AA 2024 (INQ4106669)
- COMPUTER VISION (MOD. B), AA 2024 (INQ4106669)
- COMPUTER VISION (MOD. B), AA 2024 (INQ4106669)
- MACHINE LEARNING, AA 2024 (INP9087775)
- NETWORKS AND MULTIMEDIA (I.C.), AA 2024 (INQ4106668)
- NETWORKS AND MULTIMEDIA (I.C.), AA 2024 (INQ4106668)
- NETWORKS AND MULTIMEDIA (I.C.), AA 2024 (INQ4106668)
- NETWORKS AND MULTIMEDIA (I.C.), AA 2024 (INQ4106668)
- COMPUTER VISION, AA 2023 (INP9087844)
- COMPUTER VISION, AA 2023 (INP9087844)
- COMPUTER VISION, AA 2023 (INP9087844)
- COMPUTER VISION, AA 2023 (INP9087844)
- COMPUTER VISION, AA 2023 (INP9087844)
- COMPUTER VISION (MOD. B), AA 2023 (INQ2100681)
- COMPUTER VISION (MOD. B), AA 2023 (INQ2100681)
- DIGITAL PROCESSING FOR LIFE AND HEALTH (I.C), AA 2023 (INQ0092521)
- DIGITAL PROCESSING FOR LIFE AND HEALTH (I.C), AA 2023 (INQ0092521)
- INTERNET AND MULTIMEDIA (I.C.), AA 2023 (INQ2100679)
- INTERNET AND MULTIMEDIA (I.C.), AA 2023 (INQ2100679)
- MACHINE LEARNING, AA 2023 (INP9087775)
- MACHINE LEARNING, AA 2023 (INP9087775)
- MACHINE LEARNING, AA 2023 (INP9087775)
- MACHINE LEARNING, AA 2023 (INP9087775)
- MACHINE LEARNING (MOD. B), AA 2023 (INQ0092522)
- MACHINE LEARNING (MOD. B), AA 2023 (INQ0092522)
- MACHINE LEARNING, AA 2023 (SCP8082660)
- COMPUTER VISION, AA 2022 (INP9087844)
- COMPUTER VISION, AA 2022 (INP9087844)
- COMPUTER VISION, AA 2022 (INP9087844)
- COMPUTER VISION, AA 2022 (INP9087844)
- COMPUTER VISION, AA 2022 (INP9087844)
- COMPUTER VISION (MOD. B), AA 2022 (INQ2100681)
- COMPUTER VISION (MOD. B), AA 2022 (INQ2100681)
- DIGITAL PROCESSING FOR LIFE AND HEALTH (I.C), AA 2022 (INQ0092521)
- DIGITAL PROCESSING FOR LIFE AND HEALTH (I.C), AA 2022 (INQ0092521)
- INTERNET AND MULTIMEDIA (I.C.), AA 2022 (INQ2100679)
- INTERNET AND MULTIMEDIA (I.C.), AA 2022 (INQ2100679)
- MACHINE LEARNING, AA 2022 (SCP8082660)
- MACHINE LEARNING, AA 2022 (INP9087775)
- MACHINE LEARNING, AA 2022 (INP9087775)
- MACHINE LEARNING, AA 2022 (INP9087775)
- MACHINE LEARNING, AA 2022 (INP9087775)
- MACHINE LEARNING (MOD. B), AA 2022 (INQ0092522)
- MACHINE LEARNING (MOD. B), AA 2022 (INQ0092522)
- MACHINE LEARNING, AA 2022 (SCP8082660)
- COMPUTER VISION, AA 2021 (INP9087844)
- COMPUTER VISION, AA 2021 (INP9087844)
- COMPUTER VISION, AA 2021 (INP9087844)
- COMPUTER VISION, AA 2021 (INP9087844)
- COMPUTER VISION, AA 2021 (INP9087844)
- COMPUTER VISION, AA 2021 (INP9087844)
- DIGITAL PROCESSING FOR LIFE AND HEALTH (I.C), AA 2021 (INQ0092521)
- DIGITAL PROCESSING FOR LIFE AND HEALTH (I.C), AA 2021 (INQ0092521)
- MACHINE LEARNING, AA 2021 (INP9087775)
- MACHINE LEARNING, AA 2021 (SCP8082660)
- MACHINE LEARNING, AA 2021 (SCP8082660)
- MACHINE LEARNING, AA 2021 (INP9087775)
- MACHINE LEARNING, AA 2021 (INP9087775)
- MACHINE LEARNING, AA 2021 (INP9087775)
- MACHINE LEARNING (MOD. B), AA 2021 (INQ0092522)
- MACHINE LEARNING (MOD. B), AA 2021 (INQ0092522)
- COMPUTER VISION, AA 2020 (INP9087844)
- COMPUTER VISION, AA 2020 (INP9087844)
- COMPUTER VISION, AA 2020 (INP9087844)
- COMPUTER VISION, AA 2020 (INP9087844)
- COMPUTER VISION, AA 2020 (INP9087844)
- COMPUTER VISION, AA 2020 (INP9087844)
- MACHINE LEARNING, AA 2020 (INP9087775)
- MACHINE LEARNING, AA 2020 (INP9087775)
- MACHINE LEARNING, AA 2020 (SCP8082660)
- MACHINE LEARNING, AA 2020 (INP9087775)
- MACHINE LEARNING, AA 2020 (INP9087775)
- MACHINE LEARNING (MOD. B), AA 2020 (INQ0092522)
- MACHINE LEARNING (MOD. B), AA 2020 (INQ0092522)
- COMPUTER VISION, AA 2019 (INP9087844)
- COMPUTER VISION, AA 2019 (INP9087844)
- COMPUTER VISION, AA 2019 (INP9087844)
- COMPUTER VISION, AA 2019 (INP9087844)
- MACHINE LEARNING, AA 2019 (INP9087775)
- MACHINE LEARNING, AA 2019 (SCP8082660)
- MACHINE LEARNING, AA 2019 (INP9087775)
- MACHINE LEARNING, AA 2019 (INP9087775)
- MACHINE LEARNING, AA 2019 (INP9087775)
- MACHINE LEARNING, AA 2019 (INP9087775)
- COMPUTER VISION, AA 2018 (INP6075837)
- COMPUTER VISION, AA 2018 (INP6075837)
- COMPUTER VISION, AA 2018 (INP6075837)
- MACHINE LEARNING, AA 2018 (SCP8082660)
- MACHINE LEARNING, AA 2018 (INP6075419)
- COMPUTER VISION, AA 2017 (INP6075837)
- COMPUTER VISION, AA 2017 (INP6075837)
- COMPUTER VISION, AA 2017 (INP6075837)
- THREE-DIMENSIONAL DATA PROCESSING, AA 2017 (INL1001836)
- COMPUTER VISION, AA 2016 (INP6075837)
- IMAGE AND VIDEO ANALYSIS, AA 2015 (INP4064217)
- IMAGE AND VIDEO ANALYSIS, AA 2014 (INP4064217)
- IMAGE AND VIDEO ANALYSIS, AA 2013 (INP3050136)
- SOURCE CODING, AA 2012 (INN1029415)
Publications
The publication list is at https://medialab.dei.unipd.it/members/pietro-zanuttigh/
Research Area
His main research interests are:
- Fusion of multiple sensors for 3D data acquisition (cameras and Time-Of-Flight sensors)
- Time-of-Flight sensors data processing
- Hand gesture recognition with depth data
- Semantic segmentation from color and depth data
- Knowledge Transfer techniques for deep networks
- 3D shape classification
- Scalable compression of multi-view plus depth representations
- Compression of depth maps
- Transmission and interactive remote visualization of 3D scenes
- Handheld scanning with depth cameras
For more details look at: https://medialab.dei.unipd.it/members/pietro-zanuttigh/
Thesis proposals
For information on the thesis opportunities contact the professor by email.