Multimodal and Embodied AI for Digital Humanities
- Data: 11.05.2022
- Ora: 16:00 - 17:30
- Relatore: Lorenzo Baraldi
- Luogo: Villino Stroganoff, Via Gregoriana 22, 00187 Rom
- Contatto: firstname.lastname@example.org
This integration has grown
up to the point that it is becoming endemic in literature, and a fundamental
tool to develop AI algorithms. This talk will give a comprehensive overview through
these advancements with a relevant focus on their applications to the Cultural
Heritage and Digital Humanities domains. It will further discuss and present the
research activities which are currently carried out at the AImageLab research
group and in the Interdipartimental Centre on Digital Humanities of the
University of Modena and Reggio Emilia.
Lorenzo Baraldi is a Tenure Track Assistant Professor at the University of Modena and Reggio Emilia. He works under the supervision of Prof. Rita Cucchiara on Deep Learning, video analysis and Multimedia, and teaches in the courses of Computer Vision, AI for Automotive and Image Processing. Among his research interests, he worked on Egocentric Vision and Gesture Recognition, Temporal Video Segmentation and Retrieval, Saliency, Video Captioning, Visual-Semantic alignment and Embodied AI. He is the author of more than 70 publications in international journals and conferences, and Associate Editor of Pattern Recognition Letters and of Frontiers in Artificial Intelligence. He has been elected as Scholar in the ELLIS society, the European Laboratory for Learning and Intelligent Systems. Since 2021, he has been appointed as deputy director of the Interdipartimental Centre on Digital Humanities of the University of Modena and Reggio Emilia. In 2017, he worked in the Facebook AI Research laboratory in Paris, under the supervision of Hervé Jégou, where he developed the video copy detection algorithm that currently runs in production on the social network.
Partecipation on site without registration.
Online participation via Zoom with preregistration: https://us02web.zoom.us/j/82468180619?pwd=RXNTNHM0dzgyYWlrTUlvaDUraDM2QT09
Scientific organization: Darío Negueruela del Castillo