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JEI Webinar - Deep Learning: Applications and Recent Directions
Hosted by Zeev Zalevsky, Editor in Chief of the Journal of Electronic Imaging and moderated by Thomas Kipf of Google Brain, this free webinar will cover exciting recent applications for deep learning, including autonomous driving perception, geometric deep learning, few shot learning, and studies of ancient Babylonia.

Speakers:
Ethan Fetaya (Bar-Ilan University, Israel) - Federated Learning: Deep Learning on Edge Devices
Dan Levi (General Motors R&D, Israel) - Data Efficient Training Strategies for Automated Driving Perception
Haggai Marron (NVIDIA, US) - Geometric Deep Learning: Learning on Graphs, Surfaces, and Point Clouds
Renjie Liao (Google Brain, and University of British Columbia) - Injecting Structures Into Deep Learning: a Case Study of Image Generation
Eleni Triantafillou (Google Brain, UK) - Recent Progress and Challenges in Few-Shot Classification
Shai Gordin (Ariel University, Israel) - The Babylonian Engine: Studying Ancient Babylonia using OCR, NLP, and ML

Note: By registering for this webinar, you agree that SPIE may send you alerts and information about the Journal of Electronic Imaging, and you agree that SPIE may send you relevant communications via email. This online event will be recorded. You agree to have video, audio, and public text chat recorded as part of the session in the archive. SPIE's Virtual Events operate under a Code of Conduct and Commenting Policy. You agree to abide by these policies: https://www.spiedigitallibrary.org/commenting-policy.

Dec 9, 2021 06:00 AM in Pacific Time (US and Canada)

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