self-supervised learning

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self-supervised learning

SPS Webinar: Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography

Date: 20-October-2025
Time: 09:00 AM ET (New York Time)
Presenter: Dr. Yuyao Zhang

Based on the IEEE Xplore® article under the same title
Published: IEEE Transactions on Computational Imaging, June 2023.

Download article: Original article will be made publicly available for download on the day of the webinar for 48 hours.
ARTICLE LINK

About this topic:

Facial Expression Analysis with Attention Mechanism

By: 
Dr. Jiabei Zeng

We develop algorithms to analyzing facial expression by learning from the data. Since local characters of muscle movements play an important role in distinguishing facial expression by machines, we explore the local characters of facial expressions by introducing the attention mechanism in both supervised and self-supervised supervised manners. Our methods is experimentally shown to be effective on facial expression recognition with occlusions and facial action unit detection.

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