Claudio Ferrari

Claudio Ferrari

Former Assistant Professor (RTD/A)

Claudio Ferrari is currently assistant professor (RTD/A) at the University of Parma.
He received the M.Sc. degree (cum laude) in Computer Engineering, and the Ph.D. degree in Information Engineering from the University of Florence in 2014 and 2018, respectively.
In 2014, he spent 6 months as visiting research scholar at the IRIS Computer Vision Lab of the University of Southern California (USC), working on the problem of pose invariant face recognition, under the supervision of Prof. Gerard Medioni.
His research interests include the analysis of humans, including face recognition, emotions and expressions analysis, 3D face and body modeling and reconstruction, and deep generative models for 2D/3D/4D face generation.
On these topics, he authored and co-authored more than 30 publications in international journals and conference proceedings.

Publications

Claudio Ferrari's publications
Title Authors Published in Year Links
TECMO: Efficient Temporal Cross-Interaction Module for Long Synchronized Audio-Video Generation A. Ergasti, G. Tarollo, F. Botti, T. Fontanini, C. Ferrari, M. Bertozzi, and A. Prati IEEE TRANSACTIONS ON MULTIMEDIA Accepted [IRIS]
[DOI]
Divide and Align: Disentangled Vision-Language Learning for Text-Based Person Anomaly Search A. Ergasti, T. Fontanini, C. Ferrari, M. Bertozzi, and A. Prati LECTURE NOTES IN COMPUTER SCIENCE 2026 [IRIS]
[DOI]
SISMA: Semantic Face Image Synthesis with Mamba F. Botti, A. Ergasti, T. Fontanini, C. Ferrari, M. Bertozzi, and A. Prati LECTURE NOTES IN COMPUTER SCIENCE 2026 [IRIS]
[DOI]
Mamba-ST: State Space Model for Efficient Style Transfer F. Botti, A. Ergasti, L. Rossi, T. Fontanini, C. Ferrari, M. Bertozzi, and A. Prati Proceeding of IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025 [IRIS]
[DOI]
U-Shape Mamba: State Space Model for Faster Diffusion A. Ergasti, F. Botti, T. Fontanini, C. Ferrari, M. Bertozzi, and A. Prati IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS 2025 [IRIS]
[DOI]
Controllable Face Synthesis with Semantic Latent Diffusion Models A. Ergasti, C. Ferrari, T. Fontanini, M. Bertozzi, and A. Prati LECTURE NOTES IN COMPUTER SCIENCE 2025 [IRIS]
[DOI]
Mars: Paying More Attention to Visual Attributes for Text-based Person Search A. Ergasti, T. Fontanini, C. Ferrari, M. Bertozzi, and A. Prati ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS 2025 [IRIS]
[DOI]
Semantic Image Synthesis via Class-adaptive Cross-attention T. Fontanini, C. Ferrari, G. Lisanti, M. Bertozzi, and A. Prati IEEE ACCESS 2025 [IRIS]
[DOI]
Adversarial Identity Injection for Semantic Face Image Synthesis G. Tarollo, T. Fontanini, C. Ferrari, G. Borghi, and A. Prati 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2024 [IRIS]
[DOI]
IMEmo: An Interpersonal Relation Multi-Emotion Dataset H. Guerdelli, C. Ferrari, S. Berretti, and A. Del Bimbo 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) 2024 [IRIS]
[DOI]
Generating Multiple 4D Expression Transitions by Learning Face Landmark Trajectories N. Otberdout, C. Ferrari, M. Daoudi, S. Berretti, and A. Bimbo IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 2024 [IRIS]
[DOI]
Towards a Better Understanding of Human Emotions: Challenges of Dataset Labeling H. Guerdelli, C. Ferrari, J. Cardia Neto, S. Berretti, W. Barhoumi, and A. Del Bimbo LECTURE NOTES IN COMPUTER SCIENCE 2024 [IRIS]
[DOI]
FrankenMask: Manipulating semantic masks with transformers for face parts editing T. Fontanini, C. Ferrari, G. Lisanti, L. Galteri, S. Berretti, M. Bertozzi, and A. Prati PATTERN RECOGNITION LETTERS 2023 [IRIS]
[DOI]
Automatic Generation of Semantic Parts for Face Image Synthesis T. Fontanini, C. Ferrari, M. Bertozzi, and A. Prati LECTURE NOTES IN COMPUTER SCIENCE 2023 [IRIS]
[DOI]
The Florence multi-resolution 3D facial expression dataset C. Ferrari, S. Berretti, P. Pala, and A. Del Bimbo PATTERN RECOGNITION LETTERS 2023 [IRIS]
[DOI]
The Florence 4D Facial Expression Dataset F. Principi, S. Berretti, C. Ferrari, N. Otberdout, M. Daoudi, and A. Del Bimbo 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG) 2023 [IRIS]
[DOI]
Learning graph-based features for relief patterns classification on mesh manifolds N. Guiducci, C. Tortorici, C. Ferrari, and S. Berretti COMPUTERS & GRAPHICS 2023 [IRIS]
[DOI]
Learning Landmarks Motion from Speech for Speaker-Agnostic 3D Talking Heads Generation F. Nocentini, C. Ferrari, and S. Berretti LECTURE NOTES IN COMPUTER SCIENCE 2023 [IRIS]
[DOI]
(Compress and Restore) N: a Robust Defense Against Adversarial Attacks on Image Classification C. Ferrari, F. Becattini, L. Galteri, and A. Bimbo ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS 2023 [IRIS]
[DOI]
Meta-evaluation for 3D Face Reconstruction Via Synthetic Data E. Sariyanidi, C. Ferrari, S. Berretti, R. Schultz, and B. Tunc 2023 IEEE International Joint Conference on Biometrics, IJCB 2023 2023 [IRIS]
[DOI]
Sparse to Dense Dynamic 3D Facial Expression Generation N. Otberdout, C. Ferrari, M. Daoudi, S. Berretti, and A. Del Bimbo 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 [IRIS]
[DOI]
Interpersonal relation recognition: a survey H. Guerdelli, C. Ferrari, and S. Berretti MULTIMEDIA TOOLS AND APPLICATIONS 2022 [IRIS]
[DOI]
What makes you, you? Analyzing Recognition by Swapping Face Parts C. Ferrari, M. Serpentoni, S. Berretti, and A. Del Bimbo INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION 2022 [IRIS]
[DOI]
A 3DMM-Based Framework for Deformation Measurement in Face Rehabilitation C. Ferrari, S. Berretti, P. Pala, and A. Del Bimbo INTERNATIONAL CONFERENCE ON VIRTUAL REHABILITATION 2022 [IRIS]
[DOI]
Measuring 3D face deformations from RGB images of expression rehabilitation exercises C. Ferrari, S. Berretti, P. Pala, and A. Del Bimbo VIRTUAL REALITY & INTELLIGENT HARDWARE 2022 [IRIS]
[DOI]