Francesco Giuliari

I’m 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 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

Mar 1, 2023	Our new work Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models is on ArXiv. We use Diffusion Probabilistic Models to generate the position of input elements in the continuous domain. We use it to solve Puzzles 🖼️ and order sentences ✍️.
Mar 1, 2022	Our newest work Spatial Commonsense Graph for Object localisation in partial Scenes has been accepted to CVPR 2022! 🥳 🥳

Selected publications

ArXiv

Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models

Francesco Giuliari, Gianluca Scarpellini, Stuart James, Yiming Wang, and Alessio Del Bue

In ArXiv 2023

arXiv Bib Website

@inproceedings{giuliari2023positional,
  title = {Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models},
  author = {Giuliari, Francesco and Scarpellini, Gianluca and James, Stuart and Wang, Yiming and Bue, Alessio Del},
  year = {2023},
  eprint = {2303.11120},
  selected = {true},
  booktitle = {ArXiv},
  abbr = {ArXiv},
  bibtex_show = {true},
  website = {https://github.com/IIT-PAVIS/Positional_Diffusion},
  arxiv = {2303.11120},
  primaryclass = {cs.CV}
}

CVPR

Spatial Commonsense Graph for Object localisation in Partial Scenes

Francesco Giuliari, Geri Skenderi, Marco Cristani, Yiming Wang, and Alessio Del Bue

In CVPR 2022

arXiv Website

IROS

POMP++: Pomcp-based Active Visual Search in unknown indoor environments

Francesco Giuliari, Alberto Castellini, Riccardo Berra, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti, and Yiming Wang

In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021

arXiv Bib

@inproceedings{giuliari2021pomp++,
  title = {POMP++: Pomcp-based Active Visual Search in unknown indoor environments},
  author = {Giuliari, Francesco and Castellini, Alberto and Berra, Riccardo and Del Bue, Alessio and Farinelli, Alessandro and Cristani, Marco and Setti, Francesco and Wang, Yiming},
  booktitle = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages = {1523--1530},
  organization = {IEEE},
  year = {2021},
  selected = {true},
  bibtex_show = {true},
  arxiv = {2107.00914},
  abbr = {IROS}
}

ICPR

Transformer networks for trajectory forecasting

Francesco Giuliari, Irtiza Hasan, Marco Cristani, and Fabio Galasso

In 2020 25th International Conference on Pattern Recognition (ICPR) 2020

arXiv Bib

@inproceedings{giuliari2021transformer,
  title = {Transformer networks for trajectory forecasting},
  author = {Giuliari, Francesco and Hasan, Irtiza and Cristani, Marco and Galasso, Fabio},
  booktitle = {2020 25th International Conference on Pattern Recognition (ICPR)},
  pages = {10335--10342},
  year = {2020},
  organization = {IEEE},
  selected = {true},
  bibtex_show = {true},
  arxiv = {2003.08111},
  abbr = {ICPR}
}