Gabriele Goletto

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 37^th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)

gabriele.goletto@polito.it

Profile

PhD

Thesis title

Towards Computationally-Efficient Solutions for Real-World Challenges in Egocentric Vision

Research topic

Towards Computationally-Efficient Solutions for Real-world Challenges in Egocentric Vision

Tutors

Barbara Caputo

Research presentation

Poster

Research interests

Data science, Computer vision and AI

Biography

Gabriele Goletto obtained a Master’s Degree in Data Science and Engineering from the Polytechnic University of Turin in 2021, achieving a final score of 110/110 with honors. For his master’s thesis, titled “EVEgo: Egocentric Event-data for cross-domain analysis in first-person action recognition,” he worked under the supervision of Barbara Caputo (Polytechnic University of Turin) and Matteo Matteucci (Polytechnic University of Milan). He was part of the Alta Scuola Politecnica, a program for outstanding students interested in innovation, and participated in various projects, including the European Innovation Academy course (2018), the School Of Entrepreneurship & Innovation (SEI) project (2021), and Innovation 4 Change at CERN IdeaSquare (2022).

Since January 2022, Gabriele has been a Ph.D. candidate in the VANDAL research group at the Polytechnic University of Turin, under the supervision of Prof. Barbara Caputo. He is also enrolled in the ELLIS Ph.D. program, co-supervised by Prof. Dima Damen at the University of Bristol, where he spent 6 months as a visiting researcher (February-July 2023).

Awards and Honors

Third position at the Unsupervised Domain Adaptation Challenge for Action Recognition (Track 2022) Presented at the IEEE/CVF Computer Vision and Pattern Recognition (CVPR22) (2022)
Outstanding Reviewer for WACV 2025: https://wacv2025.thecvf.com/reviewers/ (2024)

Teaching

Teachings

Master of Science

Machine learning and Deep learning. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

MostraNascondi A.A. passati

Bachelor of Science

Informatica. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso