Roberto Amoroso

Roberto Amoroso

ELLIS PhD Student, AI & Computer Vision
International Doctorate in ICT

AImageLab @ University of Modena and Reggio Emilia

About me

My name is Roberto Amoroso. I am an ELLIS PhD student enrolled in the International Doctorate in ICT program at the AImageLab research group of the University of Modena and Reggio Emilia, under the supervision of Prof. Rita Cucchiara and Prof. Lorenzo Baraldi. I am involved in the study and development of novel Computer Vision and Deep Learning techniques. Prior to joining AImageLab, I was Research Scholar at the Networking Research Group in Saint Louis, USA, working on Super-resolution techniques applied to Internet traffic matrices.

My primary research focus is on Image Segmentation, which includes multimodal machine learning approaches for learning new semantic concepts from textual information in a weakly/un-supervised way, aka Open-vocabulary Segmentation. In addition, I have also conducted research on the optimization of Transformer-based architecture for image classification.

My primary area of research is Image Segmentation, with a focus on multimodal machine learning approaches for learning new semantic concepts from textual information in a weakly or unsupervised manner, also known as Open-vocabulary Segmentation. In addition, I have also conducted research on the optimization of Transformer-based architecture for image classification, self-supervised learning techniques, deepfake detection of synthetic images, and the development of image watermarking systems for artwork protection.

Feel free to reach me out if you have any questions or curiosities! :)

Interests
  • Computer Vision
  • Deep Learning
  • Machine Learning
  • Image Segmentation
  • Multimodal Machine Learning
Education
  • ELLIS PhD in AI and Computer Vision, 2024

    University of Modena and Reggio Emilia

  • MS in Artificial Intelligence, 2020

    University of Modena and Reggio Emilia

  • BS in Computer Engineering, 2018

    University of Modena and Reggio Emilia

Recent News

All news »

  • [Oct. 2022] Our paper “A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution Techniques” has been accepted @ CCNC 2023

  • [Sep. 2022] I attended the ELLIS Doctoral Symposium 2022 (EDS2022) in Alicante, Spain

  • [Mar. 2022] I gave a short course about “AI & HPC for Industries” on AI, computer vision, and HPC organized by CINECA and Leonardo AI Labs as part of the EuroCC Italy project

  • [Sep. 2021] I attended the ELLIS Doctoral Symposium 2021 (EDS2021) in Tübingen, Germany

  • [Feb. 2021] I joined the AImageLab group at UNIMORE in Italy as a Research Fellow

Experience

 
 
 
 
 
AImageLab @ University of Modena and Reggio Emilia
ELLIS PhD Student | International Doctorate in ICT
Nov 2021 – Present Modena, Italy
  • The European Laboratory for Learning and Intelligent Systems (ELLIS) supports cutting-edge machine learning research in Europe. ELLIS PhD students (<5% 2021 acceptance rate) are selected on the basis of outstanding academic achievement. My research activity is focused on multimodal self-attentive Transformer-based models for visual semantic understanding, with applications to generative problems and visual semantic tasks.
  • 1st in the ranking of student candidates for the International Doctorate in ICT.
 
 
 
 
 
AImageLab @ University of Modena and Reggio Emilia
Research Fellow
Feb 2021 – Nov 2021 Modena, Italy
Research activity under the supervision of Prof. Rita Cucchiara and Prof. Lorenzo Baraldi, aimed at the study, analysis, and development of novel Computer Vision and Deep Learning techniques.
 
 
 
 
 
CINI - Consorzio Interuniversitario Nazionale per l’Informatica
Research Engineer
Nov 2020 – Jan 2021 Modena, Italy
Development of a web platform for the management of data concerning the activities of European research centers, as part of the HumanE-AI-NET project, funded by the EU Framework Programme for Research and Innovation Horizon 2020.
 
 
 
 
 
Saint Louis University
Research Scholar
Mar 2020 – Sep 2020 St. Louis, USA
  • Carried out research aimed at writing my MS thesis
  • Created an architecture that allows estimating Internet traffic matrices, combining a Computer Vision technique called Super-resolution with a distributed machine learning technique called Federated Learning
 
 
 
 
 
AGH Akademia Górniczo-Hutnicza
Erasmus+
Sep 2019 – Feb 2020 Krakow, Poland

Attended the following courses:

  • Advanced Python Programming
  • Computer Vision
  • Cybersecurity and Cryptography
  • Programming in Javascript
  • Mobile App Development

Honors and Awards

  • [Jul. 2022] ICVSS 2022 Reading Group Competition Award sponsored by Amazon Web Services (AWS) at ICVSS 2022 for participation in the reading group led by Prof. Dr. Stefano Soatto (leading science for AI Applications at AWS and Professor at the University of California Los Angeles)

Publications

Please see my Google Scholar for the complete publication list.
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Professional Activities

Reviewer

  • International Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Conference on Computer Vision (ICCV)
  • Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Multimedia (TMM)
  • Pattern Recognition Letters (PRL)
  • ACM Multimedia (ACMMM)
  • International Conference on Pattern Recognition (ICPR)

Contact