Benedetta Liberatori
PhD Student
Benedetta Liberatori is currently working towards a PhD at the University of Trento, Italy.
Her research interests lie in the area of computer vision, with a focus on vision-language models for video understanding.
Education
Nov. 2022 —
Ph.D. in Computer Science
University of Trento, Italy
Advisor:
Oct. 2020 - Sept. 2022
M.S. in Data Science and Artificial Intelligence
University of Trieste, SISSA and ICTP, Trieste, Italy
Final grade: 110/110 cum Laude
Sept. 2017 — Jul. 2020
B.S. in Mathematics
University of Rome La Sapienza, Rome, Italy
Final grade: 110/110 cum Laude
Research Experience
Fondazione Bruno Kessler, Trento, Italy
Mentor:
Research state-of-the-art methods for video anomaly detection and develop a method to detect anomalous activities. The Deep Visual Learning Lab conducts research in the areas of deep learning and computer vision, developing novel methodologies for image and video understanding
Publications
International Conference on Pattern Recognition (ICPR). Kolkata, India, 2024.
International Conference on Pattern Recognition (ICPR). Kolkata, India, 2024.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, Washington, USA, 2024.
Computer Vision and Image Understanding (CVIU). 2024.
Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO). 2022.
Academic Service
Reviewer
European Conference on Computer Vision
(ECCV)
2024
IEEE Conference on Computer Vision and Pattern Recognition
(CVPR)
2024
Teaching
Spring 2024
University of Trento, Italy
Introduction to Machine learning,
Instructor:
Honors and Awards
2021
First Ascent
Selected as one of the twenty computer science & software engineering students for the First Ascent Italy event: all-expenses-paid, four-day event in organized by Bending Spoons.
2020-2022
SISSA Scholarship
Awarded of one of the four scholarships by SISSA, founding partners of the MSc and among the most famous Research Centers in the scientific field. The scholarship is merit-based and covers full support for two years.
2017-2020
BSc Excellence Course
Admitted as one of the thirty members of the Excellence Course within the BSc Degree. The program consisted of additional courses and tests. The grade point average bounded the admission.