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The progress in circuit technology has allowed researchers to think about leveraging spectrum beyond millimeter wave. It is not unreasonable to imagine commodity radios with massive antenna arrays and emerging radio frequency (RF) technologies in the near future. To enable efficient communication with these radios, it is critical to understand hardware constraints at the antennas, the RF and the digital front ends.
We are inviting applications for a Speech and Deep Learning Researcher to work with Prof Thomas Hain and Dr Anton Ragni at The University of Sheffield and ZOO Digital PLC, an innovative international media localisation company with its research and development centre in Sheffield.
Lecture Date: September 15, 2021 -- Virtual Lecture
Chapter: Meghnad Saha Institute of Technology IEEE SPS Student Branch Chapter
Chapter Chair: Biswarup Ganguly
Topic: Graph signal processing: spectral transforms, graph Slepians, non-parametric
surrogate data generation, modularity-based graph signal processing
Lecture Date: June 29, 2021 -- Virtual Lecture
Chapter: Meghnad Saha Institute of Technology IEEE SPS Student Branch Chapter
Chapter Chair: Biswarup Ganguly
Topic: Computational Imaging for Art investigation and for Neuroscience
Manuscript Due: January 15, 2022
Publication Date: 3rd Quarter 2022
CFP Document
Benefiting from the powerful discriminative feature learning capability of convolutional neural networks (CNNs), deep learning techniques have achieved remarkable performance improvement for the task of salient object detection (SOD) in recent years.
While current research on multimedia is essentially dealing with the information derived from our observations of the world, internal activities inside human brains, such as imaginations and memories of past events etc., could become a brand new concept of multimedia, for which we coin as “brain-media”.