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Graph neural networks (GNNs) have achieved impressive results in various graph learning tasks and they have found their way into many application domains. Despite their proliferation, our understanding of their robustness properties is still very limited.
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.
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.
Date: 13 February 2023
Time: 10:30 AM ET (New York Time)
Title: Human Centric Visual Analysis - Hand, Gesture, Pose, Action, and Beyond
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Date: February 24, 2022
Time: 11:00 AM ET (New York Time)
Title: Recent Advances of Deep Learning within X-ray Security Imaging
Registration | Full webinar details
Date: January 26, 2022
Time: 9:00 AM ET (New York Time)
Title: Bayesian Multi-object Tracking: Probability Hypothesis Density Filter and Beyond
Registration | Full webinar details
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The IEEE Signal Processing Society is dedicated to supporting the professional growth and career advancement of its members in the dynamic field of signal processing. Learn More
Signal processing education and professional development program for all career levels. Learn more.