• Yuejie Chi (TC member) was elevated to IEEE fellow for contributions to statistical signal processing with low-dimensional structures.
• Brendt Wohlberg, (TC advisory member) was elevated to IEEE fellow for contributions to computational imaging and sparse representations.
Well-deserved and congratulations!
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
Full webinar details
The research group Digital Mathematics at the Department of Mathematics and Data Science of the Vrije Universitieit Brussel in Belgium is looking for a postdoc in the mathematical foundations for data science (e.g. machine learning, image processing, ...) or post-quantum security. This position requires submitting a project to the Brussels' funding agency Innoviris. More details about the conditions and application procedure at https://we.vub.ac.be/en/dima-digital-mathematics/jobs