cv
This is a summary of my (positive) CV beyond the publications.
General Information
| Full Name | Massimiliano Mancini |
| Languages | Italian, English |
Education
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2020 Ph.D. in Engineering in Computer Science
Sapienza University of Rome (Rome, Italy) - advised by Prof. Barbara Caputo and Prof. Elisa Ricci
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2016 Master of Science in Artificial Intelligence and Robotics
Sapienza University of Rome (Rome, Italy) -
2014 Bachelor degree in Computer and Electronic Engineering
University of Perugia (Perugia, Italy)
Research Experience
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2023-now Assistant Professor (RTDa)
University of Trento -
2020-2023 Postdoctoral Researcher
University of Tübingen (Tübingen, Germany) - within the Explainable Machine Learning group of Prof. Zeynep Akata
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2020 Visiting Ph.D. student
University of Tübingen (Tübingen, Germany) - within the Explainable Machine Learning group of Prof. Zeynep Akata
- part of the ELLIS exchange framework
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summer 2018 Visiting Ph.D. student
KTH Royal Institute of Technology (Stockholm, Sweden) - within the Robotics Perception and Learning laboratory (RPL)
- advised by Dr. hakan Karaoguz and Prof. Patric Jensfelt
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2019-2020 Research Fellow
Italian Institute of Technology (Turin, Italy) - within the Visual and Multimodal Applied Learning (VANDAL) of Prof. Barbara Caputo
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2017-2020 Research Collaborator
Fondazione Bruno Kessler (Trento, Italy) - within the Technologies of Vision laboratory (TeV) led by Dr. Stefano Messelodi
Awards and Acknowledgements
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Outstanding editor
- ICRA 2024
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Outstanding reviewer
- CVPR 2019, 2021, 2022
- ICCV 2019, 2021
- ICML 2022
- NeurIPS 2023
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Ph.D. Thesis Award 2020
- Awarded to the best Ph.D. theses defended at the Sapienza University of Rome between January 2017 and December 2020.
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Best Paper Award Honorable mention
- ECCV 2018 Workshop on Transferring and Adapting Source Knowledge in Computer Vision
- For the work "Adding New Tasks to a Single Network with Weight Transformations using Binary Masks"
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Reading group competiton winner
- International Computer Vision Summer School 2018 (Scicli, Italy)
- Member of the winning team of the reading group competition, with Julian Zilly, Amit Boyarski, Micael Carvalho, Amir Atapour Abarghouei, Konstantinos Amplianitis, Aleksandr Krasnov, Hern ́an Gonzalez, Riccardo Spezialetti, Carlos Sampedro Pérez.
Research grants
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2022-2023 Innovation Grants for Science/Life Science
University of Tübingen - Project title: Trustworthy and Dynamic Compositional Recognition
Services
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Editorial activities
- Guest Editor for the Special Issue on Multimodal Learning, International Journal of Computer Vision
- Associate Editor for Computer Vision and Image Understanding
- Action Editor for Transactions on Machine Learning Research
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Area chair
- ICRA 2024
- CVPR 2024
- ECCV 2024
- NeurIPS 2024
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Reviewer for
- Journals: IEEE T-PAMI, IJCV, T-IP, TMM, CVIU, MVA, IEEE RA-L, IEEE T-RO, TMLR, IEEE T-NN, Pattern Recognition, Neural Networks, IET Computer Vision, Frontiers in CS, Engineering Reports, IJMLC.
- Conferences: CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, ICRA, IROS, ACM-MM, ICPR, ACCV, GCPR, WACV, BMVC, CoLLAs, CAI.
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Evaluator for
- IMPRS-IS (2021-2023)
- ELLIS PhD program (2022)
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Student volunteer for
- ICCV 2017
Organization
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Conferences
- Publicity/Web Chair for ICIAP 2019
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Workshops
- 1st International Workshop on Industrial Machine Learning (at ICPR 2020)
- 2nd International Workshop on Industrial Machine Learning (at ICPR 2022)
- 5th Multimodal Learning and Applications Workshop (at CVPR 2022)
- Workshop on Weakly Supervised Computer Vision (at Deep Learning Indaba 2022)
- Explainability in Machine Learning Workshop (Tübingen, March 2023)
- 1st Workshop on Green Foundation Models (at ECCV 2024)
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Tutorials
- Transferring Knowledge Across Domains: an Introduction to Deep Domain Adaptation (at ICIAP 2019)
- Visual Recognition Beyond the Comfort Zone: Adapting to Unseen Concepts on the Fly (at ICCV 2023)
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Symposium
- Computer Vision Trento Symposium (Trento, June 2024)
Invited talks
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2019 AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs
CVPL highlights, ICIAP -
2021 Open World Compositional Zero-Shot Learning
EPFL Computer vision talks -
2021 Compositional Zero-Shot Learning
2D3DAI -
2022 On the challenges of Open World Compositional Zero-Shot Learning
Bosch Industry-on-Campus (IoC) Lab -
2023 Compositional Zero-Shot Learning
National AI PhD Fall School -
2023 Vocabulary-free Image Classification
1st Year Joint workshop of FAIR and ELLIS, Trento -
2024 Opening multimodal doors with language: from recognition to bias detection
7th Multimodal Learning and Applications Workshop (at CVPR 2024)
Teaching
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Jul. 2021 Deep Learning beyond the Closed World
Summer School on Complex Networks and Telecommunications, Como School of Advanced Studies - Ph.D.
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Oct.-Dec. 2021 Seminars on Learning with Limited Labeled Data
University of Tübingen - MSc and BSc, 28 hours, 3 credits.
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Aug.-Sep. 2023 Visual Recognition beyond the Closed World
IECS Doctoral School, University of Trento - PhD., 20 hours, 3 credits.
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WS 2023/24 Trends and Applications of Computer Vision
University of Trento - MSc, (40 hours, 20 mine), 3 credits.
Supervision
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Ph.D. students
- Simone Caldarella (University of Trento, with Elisa Ricci)
- Thomas De Min (University of Trento, with Elisa Ricci)
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MSc students
- Fabio Cermelli (Politecnico di Torino)
- Dario Fontanel (Politecnico di Torino)
- Alessandro Rizzuto Cermelli (University of Trento)
- Debora Caldarola (Politecnico di Torino)
- Giuseppe Pastore (Politecnico di Torino)
- Robin M. Schmidt (University of Tübingen)
- Michael Gröger (University of Tübingen)
- Marco Garosi (University of Trento)
- Francesco Gentile (University of Trento)
Others
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Membership
- ELLIS society
- ELLIS Unit Trento
- Computer Vision Foundation