| | Announcing ICASSP 2020 as a Fully Virtual Conference
The safety and well-being of our participants is of paramount importance to IEEE Signal Processing Society. On 11 March 2020 the World Health Organization (WHO) declared Covid-19 a pandemic. After careful consideration and in light of the global health emergency and pervasive travel restrictions, IEEE Signal Processing Society has made the difficult decision to convert ICASSP 2020 to a fully virtual conference.We were looking forward to seeing everyone at ICASSP in Barcelona, but we are excited for the opportunity to innovate by creating an engaging virtual conference that will be rewarding for both presenters and attendees.Immediate guidance for authors, and questions about registration and participation are given below. We are actively discussing several options, with full details to be announced soon.Information for Authors of Accepted PapersBoth oral and poster papers will be presented by the author creating a 15-minute pre-recorded video within the virtual conference. This video will be required for each paper to be submitted for inclusion into IEEE Xplore. Authors will also be required to be available for a Q&A session on their paper. Authors that do not meet both these requirements will be considered 'no-shows.'We will provide more detailed instructions soon, particularly on how to record your presentations. In the interim, please do begin preparing your talk and associated visuals. Each should be timed carefully to not exceed the time allocation.Virtual Conference DatesThe conference will still take place between May 4-8, as these are the dates people have allocated to attend the conference. We expect most participants will still commit their time during this window to participate in the conference, and have discussions with fellow researchers around the world.Travel CancellationPlease review any previously confirmed travel, and proceed with contacting those providers for cancellation policies. You may want to consider the following advice:Flights:Many airlines are waiving the change fee on Non-Refundable Fare tickets provided you bought a ticket within a certain time window. Many airlines are also offering refunds if travel is cancelled due to the COVID-19 pandemic. Please check whether your preferred airline has enacted such policies. Please read carefully the fine print in any travel insurance you may have purchased as most plans will not cover cancellation of travel as a precautionary measure.
Now Accepting Papers for ICASSP 2020
The 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing heads to Barcelona, Spain in May, and the conference paper submission site is now live!
ICASSP 2020 welcomes papers from a broad range of signal processing topics, all of which can be found in the call for papers on the conference website. Published papers will benefit from increased exposure through IEEE Xplore® Open Preview, granting the greater research community early, free access to the conference proceedings for one month before the conference! Deadline to submit your paper is Monday, 21 October 2019.
Call for Special Sessions
Want to highlight a new or emerging topic to your signal processing community? Consider organizing a special session! The ICASSP 2020 technical program will highlight a series of Special Sessions to complement the regular program. Head to the conference website for more information, but act fast – deadline to propose is on Monday, 12 August!
First Plenary Speaker Announced
We’re proud to announce the first of our esteemed plenary speakers, Yoshua Bengio, presenting “Deep Representation Learning.” More speakers to be announced soon!
“Deep Representation Learning”
A crucial ingredient of deep learning is that of learning representations, more specifically with the objective to discover higher-level representations which capture and disentangle explanatory factors. This is a very ambitious goal and current state-of-the-art techniques still fall short, often capturing mostly superficial features of the data, which leaves them vulnerable to adversarial attacks and insufficient out-of-distribution robustness. This talk will review these original objectives, supervised and unsupervised approaches, and outline research ideas towards better representation learning.
We look forward to seeing you in Barcelona!
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