Luca Ciampi, PhD
Researcher at Institute of Information Science and Technologies- Claim this Profile
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Italiano Native or bilingual proficiency
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English Professional working proficiency
Topline Score
Bio
Credentials
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Certificate C1_PLUS level course of Academic English
Università di PisaFeb, 2020- Oct, 2024 -
Certificate C1 level course of Academic English
Università di PisaJan, 2019- Oct, 2024
Experience
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Institute of Information Science and Technologies
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Italy
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Research Services
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100 - 200 Employee
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Researcher
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Sep 2023 - Present
Deep Learning for Image and Video Understanding
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Post-Doctoral Deep Learning Research Fellow
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Jul 2022 - Sep 2023
Computer Vision and Machine Learning- Object Detection- Visual Counting- (Unsupervised) Domain Adaptation- Medical Image Analysis- Image Classification- Synthetic Data- Deep Learning with Scarce Data- Few-shot Object Detection and Counting
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Deep Learning Research Fellow
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May 2018 - Jul 2022
- Object Detection- Counting Objects in Images- Domain Adaptation- Medical Image Analysis- Image Classification- Synthetic Data
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Instituto Superior Técnico
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Portugal
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Higher Education
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700 & Above Employee
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Visiting Post-Doctoral Research Fellow
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Oct 2022 - Nov 2022
I joined the Signal and Image Processing Group (SIPG) headed by Prof. João Paulo Costeira. I participated in various research activities related to Deep Learning for Computer Vision in scenarios characterized by Data Scarcity, such as Few-Shot Visual Counting, Multi-Rating Object Detection and Counting, Unsupervised Domain Adaptation for Video Violence Detection. I joined the Signal and Image Processing Group (SIPG) headed by Prof. João Paulo Costeira. I participated in various research activities related to Deep Learning for Computer Vision in scenarios characterized by Data Scarcity, such as Few-Shot Visual Counting, Multi-Rating Object Detection and Counting, Unsupervised Domain Adaptation for Video Violence Detection.
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Università di Pisa
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Higher Education
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700 & Above Employee
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PhD in Information Engineering (Artificial Intelligence and Computer Vision)
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Nov 2018 - May 2022
During my PhD I worked on new Deep Learning-based techniques to automatically estimate the number of objects, such as people, cells, or vehicles, present in images and videos. Specifically, I tackled the problem related to the lack of data needed for training current Deep Learning-based solutions by exploiting synthetic data gathered from video games, employing Domain Adaptation strategies between different data distributions, and taking advantage of the redundant information characterizing datasets labeled by multiple annotators. Furthermore, I addressed the engineering challenges coming out of the adoption of Deep Learning-based techniques in environments with limited power resources, mainly due to the high computational budget the AI-based algorithms require. The title of the dissertation is: "Deep Learning Techniques for Visual Counting". Show less
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Instituto Superior Técnico
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Portugal
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Higher Education
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700 & Above Employee
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Visiting PHD Student
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Jan 2020 - Feb 2020
I joined the Signal and Image Processing Group (SIPG) headed by Prof. João Paulo Costeira and I participated in various research activities related to the H2020 AI4EU Project. In particular, I contributed to developing a new methodology for traffic density estimation in images that performs Unsupervised Domain Adaptation among different data sources. I joined the Signal and Image Processing Group (SIPG) headed by Prof. João Paulo Costeira and I participated in various research activities related to the H2020 AI4EU Project. In particular, I contributed to developing a new methodology for traffic density estimation in images that performs Unsupervised Domain Adaptation among different data sources.
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Dipartimento di Ingegneria dell'Informazione - Università di Pisa
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Italy
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IT Services and IT Consulting
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1 - 100 Employee
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Java EE Software Engineer
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Sep 2016 - May 2017
I have been involved in the development of "EasyCare", a web-based multi-profile e-Health service. Specifically, I worked on the design and development of a test environment by exploiting Java Enterprise Edition (JEE) and the Spring Framework. I have been involved in the development of "EasyCare", a web-based multi-profile e-Health service. Specifically, I worked on the design and development of a test environment by exploiting Java Enterprise Edition (JEE) and the Spring Framework.
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Dipartimento di Ingegneria dell'Informazione - Università di Pisa
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Italy
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IT Services and IT Consulting
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1 - 100 Employee
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Research Scolarship
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Sep 2014 - Aug 2015
I designed and developed a web-based platform fully accessible to people with disabilities within the project 'Welcome' of the Services Office for the Integration of students with Disabilities (USID - Ufficio Servizi per l'Integrazione di studenti con Disabilità) of the University of Pisa. I designed and developed a web-based platform fully accessible to people with disabilities within the project 'Welcome' of the Services Office for the Integration of students with Disabilities (USID - Ufficio Servizi per l'Integrazione di studenti con Disabilità) of the University of Pisa.
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Education
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2019 - 2022
Università di Pisa
Doctor of Philosophy - PhD, Information Engineering (Artificial Intelligence and Computer Vision) -
2019 - 2019
Università di Pisa
Data Science Summer School (DSSS) -
Università di Pisa
Master's degree, Computer Engineering
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