Ph.D. candidate in Intelligenza Artificiale , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Thesis title
Learning-Based Methods for Enabling On-Edge, Accurate, Sustainable, and Human-Centered Intelligent Manufacturing
Tutors
- Marco Cristani
- Franco Fummi
Publications
Latest publications View all publications in Porto@Iris
- Girella, Federico; Liu, Ziyue; Fummi, Franco; Setti, Francesco; Cristani, Marco; ... (2024)
Leveraging Latent Diffusion Models for Training-Free in-Distribution Data Augmentation for Surface Defect Detection. In: International Conference on Content-Based Multimedia Indexing (CBMI), Reykjavik, Iceland, 18-20 September 2024, pp. 1-7. ISBN: 979-8-3503-7844-3
Contributo in Atti di Convegno (Proceeding) - Capogrosso, Luigi; Toaiari, Andrea; Avogaro, Andrea; Khan, Uzair; Jivoji, Aditya; Fummi, ... (2024)
SITUATE: Indoor Human Trajectory Prediction Through Geometric Features and Self-supervised Vision Representation. In: 27th International Conference on Pattern Recognition (ICPR 2024), Kolkata, West Bengal, India, December 01 - 05, 2024, pp. 364-379. ISSN 0302-9743. ISBN: 9783031784439
Contributo in Atti di Convegno (Proceeding) - Avogaro, Andrea; Capogrosso, Luigi; Fummi, Franco; Cristani, Marco (2024)
Dif4FF: Leveraging Multimodal Diffusion Models and Graph Neural Networks for Accurate New Fashion Product Performance Forecasting. In: 27th International Conference on Pattern Recognition (ICPR 2024), Kolkata, West Bengal, India, December 01 - 05, 2024, pp. 97-112. ISSN 0302-9743. ISBN: 9783031781858
Contributo in Atti di Convegno (Proceeding) - Capogrosso, Luigi; Xu, Shengjie; Fraccaroli, Enrico; Cristani, Marco; Fummi, Franco; ... (2024)
Learning-Enabled CPS for Edge-Cloud Computing. In: 14th International Symposium on Industrial Embedded Systems (SIES), Chengdu (CHN), 23 - 25 October 2024, pp. 132-139. ISBN: 979-8-3503-8863-3
Contributo in Atti di Convegno (Proceeding) - Capogrosso, Luigi; Fraccaroli, Enrico; Chakraborty, Samarjit; Fummi, Franco; Cristani, ... (2024)
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing. In: DAC '24: 61st ACM/IEEE Design Automation Conference, San Francisco, CA (USA), June 23 - 27, 2024, pp. 1-6. ISBN: 979-8-4007-0601-1
Contributo in Atti di Convegno (Proceeding)