Call for Video: Five-Minute Video Clip Contest at ICASSP 2022
The Signal Processing Society is pleased to announce the 5-Minute Video Clip Contest (5-MICC) at ICASSP in Singapore May 22-27, 2022. The…
Read moreIFS TC Webinar: 8 December 2021, by Teddy Furon
The talk conveys a vision of Machine Learning Security based on Information Forensics and Security. In a nutshell, the IFS community protects three…
Read moreSPS Webinar, 20 December 2021: Infinite-Dimensional Expansion for Sound Field Estimation with Application to Spatial Audio
Sound field estimation using a microphone array is a fundamental problem in acoustic signal processing, which has a wide variety of applications,…
Read moreSPS Webinar: 10 December 2021: Image Fusion with Convolutional Sparse Representation
As a popular signal modeling technique, sparse representation (SR) has achieved great success in image fusion during the last decade. However, due to…
Read moreIEEE SPS SAM TC Webinar: 9 December 2021, by Yuejie Chi
Many problems encountered in sensing and imaging can be formulated as estimating a low-rank object from incomplete, and possibly corrupted, linear…
Read moreDeadline 18 October! ICASSP 2022 Call for Signal Processing Grand Challenge Proposal
The 2022 International Conference on Acoustics, Speech, & Signal Processing (ICASSP) invites proposals for its Signal Processing Grand Challenges…
Read moreSPS Webinar, 29 October 2021: Empirical Wavelets
Adaptive (i.e., data-driven) methods have become very popular these last decades. Among the existing techniques, the empirical mode decomposition has…
Read moreMember Highlights: Ngai-Man (Man) Cheung
I received my Ph.D. degree from University of Southern California (USC), Los Angeles, CA. Currently I am an Associate Professor and Associate Head of…
Read moreCall for Papers DSLW 2022: 2022 IEEE Data Science and Learning Workshop
The DSLW team is inviting you to submit regular papers to the 2022 IEEE Data Science & Learning Workshop (DSLW 2022), a workshop…
Read moreCall for Papers DSLW 2022: 2022 IEEE Data Science and Learning Workshop
The DSLW team is inviting you to submit regular papers to the 2022 IEEE Data Science & Learning Workshop (DSLW 2022), a workshop…
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