Francesco Giuliari Homepage

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I’m a Researcher at Technology of Vision Research Unit at Fondazione Bruno Kessler. I was a PhD student at the Pattern Analysis and Computer Vision (PAVIS) research line at the Italian Institute of Technology, led by Dr. Alessio Del Bue.

I’m currently working on the integration of Visual Models with large Language Models for Vision Language Assistants.

I’m very enthusiastic about deep learning applied to computer vision. Right now, my focus is on 3D reasoning with Graph Neural Networks. Previously, I worked on human trajectory forecasting and Object Navigation.

I enjoy listening to EDM, reading fiction, and playing tabletop Role-Playing Games in my free time.

To contact me, you can write me an email or write me on Twitter, using the links below!

news

Feb 07, 2024 Our new work DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly Has been Accepted to CVPR 2024 🎉🎉🎉.

selected publications

  1. CVPR
    DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
    Francesco Giuliari, Gianluca Scarpellini , Stefano Fiorini , and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2024
  2. ArXiv
    Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models
    Francesco Giuliari, Gianluca Scarpellini , Stuart James , and 2 more authors
    In ArXiv , Jun 2023
  3. CVPR
    Spatial Commonsense Graph for Object localisation in Partial Scenes
    Francesco Giuliari, Geri Skenderi , Marco Cristani , and 2 more authors
    In CVPR , Jun 2022
  4. IROS
    POMP++: Pomcp-based Active Visual Search in unknown indoor environments
    Francesco Giuliari, Alberto Castellini , Riccardo Berra , and 5 more authors
    In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Jun 2021
  5. ICPR
    Transformer networks for trajectory forecasting
    Francesco Giuliari, Irtiza Hasan , Marco Cristani , and 1 more author
    In 2020 25th International Conference on Pattern Recognition (ICPR) , Jun 2020