|
IEEE
International Symposium on Circuits and Systems (ISCAS) 2021
(1)
Special Session: # 14.16 Multimodal Signal Processing
Goal and Scope: With recent advance of sensing, computing, and communication capabilities, vast amount of multimodal
data can be readily accessed. This fulfills the large training data demands of deep learning algorithms, and accordingly various multimodal systems have been developed. As many previous works have reported, integrating data from multimodalities can yield improved
performance for target tasks. It is also confirmed that combining multimodal signals, including audio, visual, written documents, and vibrations have been proven to yield higher accuracies on classification tasks and better quality on generation tasks. Although
the effectiveness of multimodal signal processing has been confirmed, there remain several challenges to tackle, including sensing device designs and hard-ware implementation methods, as well as advanced signal processing and machine learning algorithms. These
challenges should be jointly considered when searching optimal solutions for multimodal signal processing. The goal of this special session is to invite researchers from different fields to share their hardware/software design experience on multimodal signal
processing frameworks. We also look forward new modalities that can be potentially integrated. We hope to promote and explore some practical solutions and novel ideas for this research direction through this special session.
(2)
Schedule
Submission Deadline: 16 November 2020 (https://iscas2021.org/)
Yu Tsao, Academia Sinica, Taiwan
Sabato Marco SiniscalchI, University of Enna, Italy
Lin Wang, Queen Mary University of London, UK
Xavier Alameda-Pineda, INRIA, France |