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2021 IEEE VIP Cup at ICIP 2021: Privacy-Preserving In-Bed Human Pose Estimation
Every person spends around 1/3 of their life in bed. For an infant or a young toddler this percentage can be much higher, and for bed-bound patients it can go up to 100% of their time. In-bed pose estimation is a critical step in many human behavioral monitoring systems, which are focused on prevention, prediction, and management of at-rest or sleep-related conditions in both adults and children.
Call for Nominations: SPS Chapter of the Year Award
The IEEE Signal Processing Society Chapter of the Year Award will be presented for the 11th time in 2022. The award will be presented annually to a Chapter that has provided their membership with the highest quality of programs, activities and services. The award will be presented annually in conjunction with the International Conference on Acoustics, Speech and Signal Processing (ICASSP) to the Chapter’s representative.
Series to Highlight Women in Signal Processing: Prof. Mihaela van der Schaar
Prof. Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge, a Fellow at The Alan Turing Institute in London, and a Chancellor’s Professor at UCLA.
Upcoming Webinar, 2 July 2021: Facial Expression Analysis with Attention Mechanism
Facial expressions are configurations of different muscle movements in the face. The local characters of muscle movements play an important role in distinguishing facial expressions by machines. In this webinar, the presenter will explore the local characters local characters of muscle movements by introducing the attention mechanism into two frameworks.
Graph Neural Networks
Filtering is the fundamental operation upon which the field of signal processing is built. Loosely speaking, filtering is a mapping between signals, typically used to extract useful information (output signal) from data (input signal). Arguably, the most popular type of filter is the linear and shift-invariant (i.e. independent of the starting point of the signal) filter, which can be computed efficiently by leveraging the convolution operation.
Series to Highlight Women in Signal Processing: Dr. Supavadee Aramvith
Dr. Supavadee Aramvith received her B.S. (first class honors) degree in Computer Science from Mahidol University, Bangkok, Thailand, in 1993. She received her M.S. and Ph.D. degrees in Electrical Engineering from the University of Washington, Seattle, USA, in 1996 and 2001, respectively.
Get Involved with Technical Committees by becoming a TC Affiliate
The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.
Call for Nominations: Awards Board Chair and Fellow Evaluation Committee - Chair and Vice Chair Positions
The IEEE Signal Processing Society (SPS) invites nominations for the positions of Awards Board Chair and Fellow Evaluation Committee - Chair and Vice Chair. Nominations should be received no later than 30 July 2021.
Upcoming Webinar, 24 June 2021: Learning the MMSE Channel Estimator
This webinar will discuss the MMSE channel estimator for a simple SIMO system model, without knowledge of the required channel statistics. Although the derived MMSE estimator is computationally intractable in the general form, its structure can be used to motivate a neural network architecture with lower complexity.
Series to Highlight Women in Signal Processing: Monica Bugallo
Mónica F. Bugallo received her Ph.D. in computer science and engineering from University of A Coruña, Spain. She is a Professor of Electrical and Computer Engineering and the Vice Provost for Faculty Affairs, and Diversity, Equity and Inclusion at Stony Brook University, NY, USA. Bugallo is the current Chair of the IEEE SPS Signal Processing Theory and Methods Technical Committee, Senior Associate Editor of the IEEE Signal Processing Letters and Associate Editor of the IEEE Transactions on Signal Processing.
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