Federico Baldassarre
Federico Baldassarre
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Experience
Postdoctoral Researcher
FAIR / Meta AI
September 2023 – Present
Paris, France
Working on self-supervised learning for video world models, object-centric representations, and vision-language alignment, in the DINO team at FAIR.
Research Scientist Intern
FAIR / Meta AI
June 2022 – September 2022
Paris, France
Research internship during my PhD, worked on semantic image compression with vector-quantized autoencoders and DINO saliency maps.
Research Scientist Intern
Huawei Research
June 2021 – September 2021
Dublin, Ireland
Research internship during my PhD, worked on explainable detection of DeepFake videos.
Research Scientist Intern
Zalando Research
January 2018 – July 2018
Berlin, Germany
Research internship for my Master’s thesis, worked on generative models for virtual try-on.
Data Science Intern
Pop Meals, formerly Dahmakan
June 2017 – August 2017
Kuala Lumpur, Malaysia
Helped the development of demand forecasting models and route optimization algorithms for a food delivery startup.
Education
PhD in Deep Learning
KTH - Royal Institute of Technology
September 2018 – June 2023
Stockholm, Sweden
Thesis
on structured representations for model explainability in deep learning and computer vision. Supervised by
Prof. Hossein Azizpour
at the division of
Robotics, Perception and Learning
.
MSc in Machine Learning
KTH - Royal Institute of Technology
August 2016 – July 2018
Stockholm, Sweden
Thesis on generative models for virtual try-on, supervised by
Prof. Josephine Sullivan
and
Urs Bergmann
.
BSc in Computer Engineering
UNIBO - University of Bologna
September 2013 – July 2016
Bologna, Italy
Graduated with honors (110L/110).
Accomplishments
ICASSP Travel Grant
ÅForsk Foundation
June 2023
Awarded a travel grant by the
ÅForsk Foundation
to attend the
ICASSP 2023
conference and present the paper
“Variable Rate Allocation for Vector-Quantized Autoencoders”
.
BMVC Travel Grant
Karl Engvers Foundation
November 2022
Awarded a travel grant by the
Karl Engvers Foundation
to attend the
BMVC 2022
conference and present the paper
“Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors”
.
ECCV Outstanding Reviewer
European Conference on Computer Vision
August 2020
Ranked among the top 12 reviewers of the
ECCV 2020
conference, based on the quality of the reviews and the feedback to the authors.
See certificate
ICLR Travel Grant
Karl Engvers Foundation
April 2020
Awarded a travel grant by the
Karl Engvers Foundation
to attend the
ICLR 2020
conference.
Best Student Project
KTH Course DD2424 Deep Learning
July 2017
Reimplementation and analysis of
“Colorful Image Colorization”
. The project has 400+ starts on
GitHub
, was praised by François Chollet, and is cited in several spinoffs, scientific papers, and blog posts.
Skills
Technical Skills
Pytorch
SLURM
HPC Administration
Languages
🇮🇹
Italian
🇬🇧
English
🇫🇷
French
🇸🇪
Swedish
Hobbies
Climbing
Cooking
Photography
Curriculum Vitae
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