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] |
