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SPS Webinar: 13 February 2023, presented by Dr. Joe (Zhou) Ren
Human centric visual analysis tasks are essential to computer vision since humans are the key element for cameras to analyze. In this talk, I will mainly focus on 4 visual analysis tasks on human hand, gesture, pose, and action respectively.
New SPS Chapters in 2022
The IEEE Signal Processing Society is happy to announce the addition of twenty-six new Chapters formed in 2022. We welcome the following SPS Chapters and wish them great success in their future activities and events.
Call for Papers: IEEE JSTSP Special Series on AI in Signal & Data Science - Toward Explainable, Reliable, and Sustainable Machine Learning
To address rapidly growing interest in artificial intelligence (AI) and machine learning (ML) for signal processing and data science, the IEEE Signal Processing Society (SPS) is launching a new special series on AI in Signal & Data Science, to be published within the IEEE Journal on Selected Topic in Signal Processing (JSTSP).
Call for Officer Nominations: President-Elect, Vice President-Conferences, and Vice President-Publications
IEEE Signal Processing Society Past President Ahmed Tewfik, in his capacity as Chair of the Society’s Nominations and Appointments Committee, invites nominations for the IEEE Signal Processing Society Officer positions of President-Elect for the term 1 January 2024-31 December 2025, Vice President-Conferences for the term of 1 January 2024-31 December 2026 and Vice President-Publications for the term of 1 January 2024-31 December 2026.
Deep-learning-based audio-visual speech enhancement
We all experienced the discomfort of communicating with our friends at a cocktail party or in a pub with loud background music. When difficult acoustic scenarios like these occur, we tend to rely on several visual cues, such as lips and mouth movement of the speaker, in order to understand the speech of interest.
SPS Webinar: 15 February 2023, presented by Mr. Wei Liu, Dr. Li Chen and Dr. Wenyi Zhang
Decentralized stochastic gradient descent (SGD) is a driving engine for decentralized federated learning (DFL). The performance of decentralized SGD is jointly influenced by inter-node communications and local updates.
44 SPS Members Elevated to Fellow
Each year, the IEEE Board of Directors confers the grade of Fellow on up to one-tenth of one percent of the voting members. To qualify for consideration, an individual must have been a Member, normally for five years or more, and a Senior Member at the time for nomination to Fellow. The grade of Fellow recognizes unusual distinction in IEEE’s designated fields.
2022 IEEE Signal Processing Society Awards to be Presented in Greece
The IEEE SPS congratulates the following SPS members who will receive the Society’s prestigious awards during ICASSP 2023 in Greece.
Frontal-Centers Guided Face: Boosting Face Recognition by Learning Pose-Invariant Features
Recent years, face recognition has made a remarkable breakthrough due to the emergence of deep learning. However, compared with frontal face recognition, many deep face recognition models still suffer serious performance degradation when handling profile faces. To address this issue, we propose a novel Frontal-Centers Guided Loss (FCGFace) to obtain highly discriminative features for face recognition. Most existing discriminative feature learning approaches project features from the same class into a separated latent subspace.
Job Opportunities in Signal Processing
IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.
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