Rita Delussu

Int. J. Comput. Vis., October, 2024

2023

Human-in-the-loop cross-domain person re-identification.

[BibT_eX]

[DOI]

Expert Syst. Appl., September, 2023

Trustworthy AI in Video Surveillance: The IMMAGINA Project.

[BibT_eX]

[DOI]

Proceedings of the Italia Intelligenza Artificiale, 2023

Specialise to Generalise: The Person Re-identification Case.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Human-in-the-Loop Person Re-Identification as a Defence Against Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

2022

Scene-specific crowd counting using synthetic training images.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

On the Effectiveness of Synthetic Data Sets for Training Person Re-identification Models.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

On the Evaluation of Video-Based Crowd Counting Models.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2021

LivDet 2021 Fingerprint Liveness Detection Competition - Into the unknown.

[BibT_eX]

[DOI]

Proceedings of the International IEEE Joint Conference on Biometrics, 2021

How Realistic Should Synthetic Images Be for Training Crowd Counting Models?

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 2021

2020

An Empirical Evaluation of Cross-scene Crowd Counting Performance.

[BibT_eX]

[DOI]

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Investigating Synthetic Data Sets for Crowd Counting in Cross-scene Scenarios.

[BibT_eX]

[DOI]