4/02/2019
by Marco Cagnazzo
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Our paper : L. Wang, A. Fiandrotti, A. Purica, G. Valenzise, M. Cagnazzo. « ENHANCING HEVC SPATIAL PREDICTION BY CONTEXT-BASED LEARNING » has been accepted for publication in the 2019 IEEE ICASSP conference
6/06/2018
by Marco Cagnazzo
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Our next seminar will be given by Florent Chiaroni, Ph.D. student at L2S. He will talk about generative adversarial networks (GAN) and one possible application for positive unlabeled learning. More specifically, Florent will explain the working principles of GAN’s, and how … Continue reading
1/06/2018
by Marco Cagnazzo
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Our article on quality assessment of compressed images with deep learning techniques has been accepted in the IEEE Multimedia Signal Processing 2018 (MMSP) conference [1]. In this article we use two of the most recent compression methods based on DL, … Continue reading