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个人简介
Francesco Cricri received the M.Sc. degree in telecommunications engineering from the University of Trento, Italy, and the Ph.D. degree in signal processing from the Tampere University of Technology, Finland, in 2014.
He has been with Nokia Technologies, Tampere, Finland, since 2014, where he is currently a Principal Researcher in machine learning, leading various projects in the field of machine learning, computer vision, and data compression. He is also a Nokia Delegate to ISO/IEC Moving Picture Experts Group (MPEG) for the standardization of neural network compression technologies. He has published over 24 research articles in international scientific conferences and journals, filed over 90 patent applications, and holds over 25 granted patents. His current research interests include neural network compression, neural network-based image and video compression, few-shots learning, meta-learning, and evaluation of generative models.
Dr. Cricri was a recipient of the Best Student Paper Award at the 2011 IEEE International Symposium on Multimedia and the Most Innovative Image Codec Award at the 2020 IEEE International Workshop on Multimedia Signal Processing.
研究兴趣
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arxiv(2024)
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2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)pp.170-175, (2023)
Ruiying Yang,María Santamaría,Francesco Cricri, Honglei Zhang,Jani Lainema,Ramin Ghaznavi Youvalari,Miska M. Hannuksela, Tapio Elomaa
2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)pp.1-5, (2023)
2023 IEEE 25TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING, MMSPpp.1-6, (2023)
arXiv (Cornell University) (2022)
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