Mattia Soldan is a Ph.D. student at King Abdullah University of Science and Technology (KAUST). Under the supervision of Bernard Ghanem, Mattia is part of the Image and Video Understanding Lab (IVUL). Mattia received his MSc degree in Telecommunication Engineering and his BSc degree in Information Engineering from the University of Padova. His research interests include Computer Vision and Natural Language Processing. Mattia aims at leveraging Deep Learning techniques to solve relevant multidisciplinary problems as Natural Language Video Grounding. See the list of publications for a glimpse at his work.
PhD in Electrical and Computer Engineering
King Abdullah University of Science and Technology, Thuwal (Saudi Arabia)
MSc in Telecommunication Engineering, 2017
University of Padova, Padova (Italy)
BSc in Information Engineering, 2015
University of Padova, Padova (Italy)
[2022-03-15] I gave a talk about my research at the Rising Stars in AI Symposium @ KAUST. See my talk here.[2022-03-02] “MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions” accepted in CVPR22 (preprint).[2022-02-23] Updated version of “Finding Moments in Video Collections Using Natural Language” is on ArXiv (preprint).