IMPORTANT DATES
Dates currently being confirmed; check back.
 

2022
Call for Papers Announced 2 May
Journal-first (JIST/JPI) Submissions

∙ Submission site Opens 2 May 
∙ Journal-first (JIST/JPI) Submissions Due 1 Aug
∙ Final Journal-first manuscripts due 28 Oct
Conference Papers Submissions
∙ Abstract Submission Opens 1 June
∙ Priority Decision Submission Ends 15 July
∙ Extended Submission Ends  19 Sept
∙ FastTrack Conference Proceedings Manuscripts Due 16 Dec 
∙ All Outstanding Proceedings Manuscripts Due
 6 Feb 2023
Registration Opens late summer
Demonstration Applications Due 9 Dec
Early Registration Ends 18 Dec


2023
Hotel Reservation Deadline 6 Jan
Symposium begins
15 Jan


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EI 2023 Plenary Speakers

EI has always been the place to hear from those in the electronic imaging field who are pushing the limits and challenging what we know. We bring you speakers who educate and inspire.

The 2023 EI General Chairs have secured this exciting line-up to share their experience and knowledge with us in January; additional details will be posted as they are available.

Neural Operators for Solving PDEs
Anima Anandkumar, Bren professor, California Institute of Technology, and senior director of AI Research, NVIDIA Corporation (United States)

Deep learning surrogate models have shown promise in modeling complex physical phenomena such as fluid flows, molecular dynamics, and material properties. However, standard neural networks assume finite-dimensional inputs and outputs, and hence, cannot withstand a change in resolution or discretization between training and testing. We introduce Fourier neural operators that can learn operators, which are mappings between infinite dimensional spaces. They are independent of the resolution or grid of training data and allow for zero-shot generalization to higher resolution evaluations. When applied to weather forecasting, neural operators capture fine-scale phenomena and have similar skill as gold-standard numerical weather models for predictions up to a week or longer, while being 4-5 orders of magnitude faster.

Anima Anandkumar is a Bren Professor at Caltech and Senior Director of AI Research at NVIDIA. She is passionate about designing principled AI algorithms and applying them to interdisciplinary domains. She has received several honors such as the IEEE fellowship, Alfred. P. Sloan Fellowship, NSF Career Award, and Faculty Fellowships from Microsoft, Google, Facebook, and Adobe. She is part of the World Economic Forum's Expert Network. Anandkumar received her BTech from Indian Institute of Technology Madras, her PhD from Cornell University, and did her postdoctoral research at MIT and assistant professorship at University of California Irvine.


Image Rendering Challenges for Augmented Reality (AR) Displays
Edward Buckley, display architect, Meta (United Kingdom)


Abstract coming

Edward Buckley is senior manager, Display Image Quality, at Meta. Buckley carries product-level responsibility for maximizing augmented reality image quality per mW consumed across display, optics, silicon, perception, sensor and graphics teams. Prior to joining Meta four and a half years ago, Buckley was principal scientist at E Ink Corporation, director of Advanced Display at NanoLumens, and a principal engineer manager at Qualcomm. Buckley received his PhD from the University of Cambridge (2006) for research in real-time holography for displays and sensors applications. He received his MEng in electronic and electrical engineering from University College London (2001).

The Pyramid of Visibility
Andrew B. Watson, chief vision scientist, Apple Inc. (United States)


Abstract coming

Andrew B. Watson is the chief vision scientist at Apple, Inc. where he leads the application of vision science to a broad range of Apple technologies, applications, devices, and displays. Watson was an undergraduate at Columbia University, received his PhD in Psychology from the University of Pennsylvania, and did postdoctoral work at the University of Cambridge in England. From 1982 to 2016, he was senior scientist for Vision Research at NASA Ames Research Center. His research focuses on computational models of early vision and application of vision science to imaging technology. He is the author of more than 100 papers and seven patents on topics in vision science and imaging technology. In 2001, Watson founded the Journal of Vision and served as editor-in-chief 2001-2013 and 2018-2022. In 2011, he received the Presidential Rank Award from the President of the United States.

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