Niccolò Biondi

Niccolò Biondi

Via Sommarive, 9

38123 Povo, Trento, Italy

I am an Assistant Professor (RTD-A) at the Multimedia & Human Understanding Lab (MHUG), University of Trento, where I develop machine learning and computer vision systems with applications in multimodal learning and biomedical domains.

My research focuses on representation learning — specifically, designing backward-compatible and stationary representations that enable seamless model updates in large-scale retrieval systems without re-indexing entire databases. This problem sits at the intersection of continual learning, metric learning, and optimization theory.

My work has been published at NeurIPS, CVPR (Highlight, top 2.8%), and IEEE TPAMI. Previously, I was a Post-Doctoral Researcher at the MICC Lab, University of Florence, where I also completed my Ph.D. (cum laude, 2024) under the supervision of Prof. Alberto Del Bimbo and Federico Pernici.

news

Aug 13, 2026	Our paper “Painting Change Map as guidance for generating painting processes” has been accepted to WACV 2027 (Round 1).
Aug 01, 2026	I have been appointed Managing Editor of Computer Vision and Image Understanding (CVIU), Elsevier, for the term 2026–2028.
Jun 03, 2026	Attending CVPR 2026 in Denver, CO, June 3–7 — come say hi if you’re around!
May 01, 2026	Our paper “A Stationary (and Therefore Compatible) Representation is All You Need” has been accepted at IEEE TPAMI!
Mar 01, 2026	Our paper “PEPR: Privileged Event-based Predictive Regularization for Domain Generalization” has been accepted to CVPR 2026 as a Findings paper. Read the preprint on arXiv or visit the project page.

selected publications

TPAMI

A Stationary (and Therefore Compatible) Representation is All You Need

N. Biondi, F. Pernici, S. Ricci, and 1 more author

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026

Bib HTML Project Page

@article{biondi2024stationary_journal,
  title = {A Stationary (and Therefore Compatible) Representation is All You Need},
  author = {Biondi, N. and Pernici, F. and Ricci, S. and Del Bimbo, A.},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year = {2026},
}

NeurIPS

λ-Orthogonality Regularization for Compatible Representation Learning

S. Ricci, N. Biondi, F. Pernici, and 2 more authors

In Advances in Neural Information Processing Systems, 2025

arXiv Bib

@inproceedings{ricci2025lambda,
  title = {$\lambda$-Orthogonality Regularization for Compatible Representation Learning},
  author = {Ricci, S. and Biondi, N. and Pernici, F. and Patras, I. and Del Bimbo, A.},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2025},
}

CVPR

Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements

N. Biondi, F. Pernici, S. Ricci, and 1 more author

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Highlight arXiv Bib HTML

Highlight paper, top 2.8%

@inproceedings{biondi2024stationary_cvpr,
  title = {Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements},
  author = {Biondi, N. and Pernici, F. and Ricci, S. and Del Bimbo, A.},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2024},
}

TPAMI

CoReS: Compatible Representations via Stationarity

N. Biondi, F. Pernici, M. Bruni, and 1 more author

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

DOI arXiv Bib HTML

@article{biondi2021cores,
  title = {{CoReS}: Compatible Representations via Stationarity},
  author = {Biondi, N. and Pernici, F. and Bruni, M. and Del Bimbo, A.},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year = {2021},
  doi = {10.1109/TPAMI.2023.3259542},
}