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Federico Girella

PhD Student, University of Verona, Italy

I am a third year PhD student at the University of Verona (IT), and member of IntelligoLabs supervised by Prof. Marco Cristani. My research focuses on Deep Learning models for the Vision and Language multi-modal domain. I work with (Large) Vision and Language Models and Text-to-Image Generative Models. My main body of work revolves around the Fashion domain and the use of Generative Models for image generation. I have collaborated for a year with Humatics SYS-DAT developing AI tools for the fashion industry.

News

  • Visiting Period at the University of Surrey w/ Prof. Yi-Zhe Song
  • New website online
  • Fashion-ACT accepted at CVPR25
  • Attending ECCV24 in Milan
  • DIAG accepted at CBMI24

Publications

Seeing the Abstract: Translating the Abstract Language for Vision Language Models

Davide Talon*, Federico Girella*, Ziyue Liu, Marco Cristani, Yiming Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study

Federico Cunico et al.

IEEE Access, 2024

Leveraging Latent Diffusion Models for Training-Free in-Distribution Data Augmentation for Surface Defect Detection

Federico Girella, Ziyue Liu, Franco Fummi, Francesco Setti, Marco Cristani, Luigi Capogrosso

International Conference on Content-Based Multimedia Indexing (CBMI), 2024

Education

Ph.D. Student, Computer Science

University of Verona

Oct 2022 - ...

  • Computer Science, Artificial Intelligence.
  • AI for Vision and Language, Generative Models.

Artificial Intelligence. AI for Vision and Language, Generative Models.

M.Sc. Computer Science, Visual Computing

University of Verona

Oct 2019 - May 2022

  • Thesis title: Multi-Task Learning: Pose Estimation for Video Analytics.
  • Final grade: 110/110 Cum Laude

B.Sc. Computer Science, Computer Science and Engineering

University of Verona

Oct 2019 - May 2022

  • Thesis title: Study on Augmented Reality Functionalities.
  • Final grade: 110/110

Skills

Languages

Coding

Interests