Machine learning compression

Research group on the applications of machine learning to compression


Date Time Room Subject
12/02/20 10:00 5A126 Neural networks compression (E. Tartaglione)
22/07/19 15:00 B603 GAN models for Positive Unlabeled learning and Noisy labeled learning tasks (F. Chiaroni)
22/07/19 14:00 B603 Overview of autoencoders, variational autoencoders, GANs (F. Odierna)
07/06/19 10:00 B567 Deep learning for Super Resolution and Tracking (G. Franchi)
07/06/19 11:15 B567 Deformation models for image and video generation (S. Lathuilière)
07/06/19 14:00 B567 The Next Big Thing: From Systems to Deep Systems (F. Banterle)
12/03/19 10:00 B115 CABAC in video compression standards and its potential improvement using deep learning (B.Ray)
07/03/19 10:00 Amphi Grenat Graph-Convolutional Neural Networks (D. Valsesia).
19/12/18 10:00 E900 Enhancing HEVC spatial prediction by context-based learning (L. Wang)
17/07/18 14:30 TDB Talks by P. Plantanida (L2S) and Ismail Ben Ayed (ETS, Montreal).
14/06/18 14:30 B555 GAN’s and one possible application for positive unlabeled learning (F. Chiaroni)
24/05/18 14:30 B555 Variational autoencoders (A. Newson)
04/05/18 10:00 B543 View synthesis: DL vs geometry-based methods (C. Assediato, C. Scolavino)
12/04/18 10:30 B551 Deep learning regularization for non-local image denoising (Mario Gonzalez)
05/04/18 10:00 B549 Loop filters and CABAC in HEVC (Pavel Nikitin)
22/03/18 14:30 B555 Recurrent neural networks and Long-Short Term Memory units (Bogdan Cirstea)
08/03/18 14:30 B555 Seminar on ML+ compression (G. Valenzise and L. Wang)
Date Time Room Subject