Ph.D. in Intelligenza Artificiale , 37th cycle (2021-2024)
Ph.D. obtained in 2025
Dissertation:
Generative and Multimodal Learning for Vision and Language (Abstract)
Tutors:
Enrico Magli Diego ValsesiaProfile
Research topic
Multimodal Deep Learning and Generative Models
Research interests
Teaching
Teachings
Master of Science
- Signal, image and video processing and learning (modulo di Image and video processing and learning). A.A. 2024/25, COMMUNICATIONS ENGINEERING. Collaboratore del corso
- Statistical learning and neural networks. A.A. 2024/25, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Collaboratore del corso
Bachelor of Science
- Elaborazione di immagine e video. A.A. 2022/23, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso
- Elaborazione di immagine e video. A.A. 2023/24, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Aiello, Emanuele (2025)
Generative and Multimodal Learning for Vision and Language. relatore: MAGLI, ENRICO; VALSESIA, DIEGO; , 37. XXXVII Ciclo, P.: 152
Doctoral Thesis - Aiello, E.; Michieli, U.; Valsesia, D.; Ozay, M.; Magli, E. (2025)
DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching. In: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville (USA), 10-17 June 2025, pp. 12480-12489
Contributo in Atti di Convegno (Proceeding) - Montanaro, A.; SAVANT AIRA, Luca; Aiello, E.; Valsesia, D.; Magli, E. (2024)
MOTIONCRAFT: Physics-based Zero-Shot Video Generation. In: 38th Conference on Neural Information Processing Systems, NeurIPS 2024, Vancouver (Can), 10 - 15 December 2024. ISSN 1049-5258
Contributo in Atti di Convegno (Proceeding) - Aiello, Emanuele; Valsesia, Diego; Magli, Enrico (2024)
Fast Inference in Denoising Diffusion Models via MMD Finetuning. In: IEEE ACCESS, vol. 12, pp. 106912-106923. ISSN 2169-3536
Contributo su Rivista - Aiello, E.; Agarla, M.; Valsesia, D.; Napoletano, P.; Bianchi, T.; Magli, E.; Schettini, ... (2024)
Synthetic Data Pretraining for Hyperspectral Image Super-Resolution. In: IEEE ACCESS, vol. 12, pp. 65024-65031. ISSN 2169-3536
Contributo su Rivista - Aiello, Emanuele; Yu, Lili; Nie, Yixin; Aghajanyan, Armen; Oguz, Barlas (2023)
Jointly Training Large Autoregressive Multimodal Models. In: International Conference on Learning Representations, Vienna (Austria), Aprile 2024
Contributo in Atti di Convegno (Proceeding) - Aiello, E.; Valsesia, D.; Magli, E. (2022)
Cross-modal Learning for Image-Guided Point Cloud Shape Completion. In: 36th Conference on Neural Information Processing Systems, NeurIPS 2022, New Orleans, USA, November 28th through December 9th, 2022. ISSN 1049-5258. ISBN: 9781713871088
Contributo in Atti di Convegno (Proceeding)