Boccignone, G., Cuculo, V., D’Amelio, A., Grossi, G., Lanzarotti, R., & Patania, S. (2025). Remote Respiration Measurement with RGB Cameras: A Review and Benchmark. ACM Computing Surveys
Barbera, T., Burger, J., D’Amelio, A., Zini, S., Bianco, S., Lanzarotti, R., ... & Contreras-Vidal, J. L. (2025). On using AI for EEG-based BCI applications: problems, current challenges and future trends. International Journal of Human–Computer Interaction, 1-20.
Facchi, G. M., Grossi, G., D’Amelio, A., Agnelli, F., Sforza, C., Tartaglia, G. M., & Lanzarotti, R. (2025). Graph Neural Networks for 3D facial morphology: Assessing the effectiveness of anthropometric and automated landmark detection. Pattern Recognition Letters.
Boccignone, G., Conte, D., Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2025). Enhancing rPPG pulse-signal recovery by facial sampling and PSD Clustering. Biomedical Signal Processing and Control, 101, 107158.
Boccignone, G., D’Amelio, A., Ghezzi, O., Grossi, G., & Lanzarotti, R. (2023). An Evaluation of Non-Contact Photoplethysmography-Based Methods for Remote Respiratory Rate Estimation. Sensors, 23(7), 3387.
D’Amelio, A., Patania, S., Buršić, S., Cuculo, V., & Boccignone, G. (2023). Inferring Causal Factors of Core Affect Dynamics on Social Participation through the Lens of the Observer. Sensors, 23(6), 2885.
D’Amelio, A., Patania, S., Bursic, S., Cuculo, V., & Boccignone, G. (2023). Using Gaze for Behavioural Biometrics. Sensors, 23(3), 1262.
Boccignone, G., Conte, D., Cuculo, V., D’Amelio, A., Grossi, G., Lanzarotti, R., & Mortara, E. (2022). Pyvhr: A python framework for remote photoplethysmography. PeerJ Computer Science,8, e929.
D’Amelio,A., & Boccignone, G. (2021). Gazing at social interactions between foraging and decision theory. Frontiers in neurorobotics, 15, 31
Boccignone, G., Conte, D., Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2020). An Open Framework for Remote-PPG Methods and their Assessment. IEEE Acces, 8, 216083-216103.
Boccignone, G., Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2020). On Gaze Deployment to Audio- Visual Cues of Social Interactions. IEEE Access, 8, 161630-161654.
Bursic, S., Boccignone, G., Ferrara, A., D’Amelio, A., & Lanzarotti, R. (2020). Improving the Accuracy of Automatic Facial Expression Recognition in Speaking Subjects with Deep Learning. Applied Sciences, 10(11), 4002.
Cuculo, V., D’Amelio, A., Grossi, G., Lanzarotti, R., & Lin, J. (2019). Robust single-sample face recognition by sparsity-driven sub-dictionary learning using deep features. Sensors, 19(1), 146.
Boccignone, G., Conte, D., Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2018). Deep construction of an affective latent space via multimodal enactment. IEEE Transactions on Cognitive and Developmental Systems, 10(4), 865-880.
Cartella, G., Cuculo, V., D'Amelio, A., Cornia, M., Boccignone, G., & Cucchiara, R. (2025). Modeling Human Gaze Behavior with Diffusion Models for Unified Scanpath Prediction. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV-2025).
Cartella, G., Cuculo, V., D'Amelio, A., Cucchiara, R., & Boccignone, G. (2025). Unravelling Neurodivergent Gaze Behaviour through Visual Attention Causal Graphs. In Image Analysis and Processing–ICIAP 2025.
Burger, J., Cuculo, V., D'Amelio, A., Grossi, G., & Lanzarotti, R. (2025). ECoGNet: an EEG-based Effective Connectivity Graph Neural Network for Brain Disorder Detection. In Proceedings of the IEEE International Joint Conference on Neural Networks, IJCNN.
D’Amelio, A., Cartella, G., Cuculo, V., Lucchi, M., Cornia, M., Cucchiara, R., & Boccignone, G. (2025, February). TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes. In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 8786-8795). IEEE.
Ghezzi, O., Boccignone, G., Grossi, G., Lanzarotti, R., & D’Amelio, A. (2024, September). Cliffphys: Camera-based respiratory measurement using clifford neural networks. In European Conference on Computer Vision (ECCV-2024). Cham: Springer Nature Switzerland.
Agnelli, F., Grossi, G., D’Amelio, A., De Paoli, M., & Lanzarotti, R. (2024, September). VATE: A Large Scale Multimodal Spontaneous Dataset for Affective Evaluation. In European Conference on Computer Vision (ECCVW-2024). Cham: Springer Nature Switzerland.
D’Amelio, A., Lucchi, M., & Boccignone, G. (2024, September). ScanDDM: Generalised Zero-Shot Neuro-Dynamical Modelling of Goal-Directed Attention. In European Conference on Computer Vision (ECCVW-2024). Cham: Springer Nature Switzerland.
Cartella, G., Cornia, M., Cuculo, V., D'Amelio, A., Zanca, D., Boccignone, G., & Cucchiara, R. (2024, August). Trends, applications, and challenges in human attention modelling. In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-2024).
Patania, S., D’Amelio, A., Cuculo, V., Limoncini, M., Ghezzi, M., Conversano, V., & Boccignone, G. (2023, September). Pain and fear in the eyes: Gaze dynamics predicts social anxiety from fear generalisation. In International Conference on Image Analysis and Processing (pp. 133-144). Cham: Springer Nature Switzerland.
D’Amelio, A., Lanzarotti, R., Patania, S., Grossi, G., Cuculo, V., Valota, A., & Boccignone, G. (2023, September). On using rPPG signals for DeepFake detection: a cautionary note. In International Conference on Image Analysis and Processing (pp. 235-246). Cham: Springer Nature Switzerland.
Patania, S., Boccignone, G., Bursic, S., D'Amelio, A., & Lanzarotti, R.. Deep graph neural network for video-based facial painexpression assessment. International Symposium on Applied Computing (SAC 2022)
Boccignone, G., Bursic, S., Cuculo, V., D’Amelio, A., Grossi, G., Lanzarotti, R., & Patania, S. (2022). DeepFakes Have No Heart: A Simple rPPG-Based Method to Reveal Fake Videos. In International Conference on Image Analysis and Processing (pp. 186-195). Springer, Cham.
Patania, S., D’Amelio, A., & Lanzarotti, R. (2022). Exploring Fusion Strategies in Deep Multimodal Affect Prediction. In International Conference on Image Analysis and Processing (pp. 730-741). Springer, Cham.
Bursic, S., D'Amelio, A., Granato, M., Grossi, G., & Lanzarotti, R. (2021, January). A Quantitative EvaluationFramework of Video De-Identification Methods. In 2020 25th International Conference on Pattern Recognition (ICPR) (pp. 6089-6095). IEEE.
Boccignone, G., Cuculo, V. & D’Amelio, A. "How to Look Next? A Data-Driven Approach for Scanpath Prediction." International Symposium on Formal Methods. Springer, Cham, 2019.
D’Amelio, A., Cuculo, V., & Bursic, S. (2019, October). Gender Recognition in the Wild with Small Sample Size - A Dictionary Learning Approach. In International Symposium on Formal Methods (pp. 162-169). Springer, Cham.
Bursic, S., Cuculo, V., & D’Amelio, A. (2019, October). Anomaly detection from log files using unsupervised deep learning. In International Symposium on Formal Methods (pp. 200-207). Springer, Cham.
Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2019, September). Worldly Eyes on Video: Learnt vs. Reactive Deployment of Attention to Dynamic Stimuli. In International Conference on Image Analysis and Processing (pp. 128-138). Springer, Cham.
Boccignone, G., Cuculo, V., D'Amelio, A. (2019, September). Problems with saliency maps. In International Conference on Image Analysis and Processing (pp. 128-138). Springer, Cham.
Cuculo, V., & D’Amelio, A. (2019, August). OpenFACS: an open source FACS-based 3D face animation system. In International Conference on Image and Graphics (pp. 232-242). Springer, Cham.
Boccignone, G., Cuculo, V., D'Amelio, A., & Lanzarotti, R. (2019, May). Social traits from stochastic paths in the core affect space. In Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare (pp. 314-319).
Bodini, M., D’Amelio, A., Grossi, G., Lanzarotti, R., & Lin, J. (2018, September). Single sample face recognition by sparse recovery of deep-learned lda features. In International Conference on Advanced Concepts for Intelligent Vision Systems (pp. 297-308). Springer, Cham.
Cuculo, V., D’Amelio, A., Lanzarotti, R., & Boccignone, G. (2018, June). Personality gaze patterns unveiled via automatic relevance determination. In Federation of International Conferences on Software Technologies: Applications and Foundations (pp. 171-184). Springer, Cham.
Boccignone, G., Cuculo, V., D'Amelio, A., Grossi, G., & Lanzarotti, R. (2018). Give ear to my face: modelling multimodal attention to social interactions. In Proceedings of the European Conference on Computer Vision (ECCV) (pp. 0-0).
D’Amelio, A., Cuculo, V., Grossi, G., Lanzarotti, R., & Lin, J. (2017, September). A note on modelling a somatic motor space for affective facial expressions. In International Conference on Image Analysis and Processing (pp. 181- 188). Springer, Cham.
Ceruti, C., Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2017, September). Taking the hidden route: deep mapping of affect via 3D neural networks. In International Conference on Image Analysis and Processing (pp. 189-196). Springer, Cham.
D'Amelio, A. (2021). A stochastic forging model of attentive eye guidance on dynamic stimuli.