Dates currently being confirmed; check back.

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 25 Dec 
∙ All Outstanding Proceedings Manuscripts Due
 6 Feb 2023
Registration Opens 1 Dec
Demonstration Applications Due 19 Dec
Early Registration Ends 18 Dec

Hotel Reservation Deadline 6 Jan
Symposium begins
15 Jan

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Visualization and Data Analysis 2023

Monday 16 January 2023

10:20 – 10:50 AM Coffee Break

12:30 – 2:00 PM Lunch

Monday 16 January PLENARY: Neural Operators for Solving PDEs

Session Chair: Robin Jenkin, NVIDIA Corporation (United States)
2:00 PM – 3:00 PM
Cyril Magnin I/II/III

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, Bren professor, California Institute of Technology, and senior director of AI Research, NVIDIA Corporation (United States)


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.

3:00 – 3:30 PM Coffee Break

EI 2023 Highlights Session

Session Chair: Robin Jenkin, NVIDIA Corporation (United States)
3:30 – 5:00 PM
Cyril Magnin II

Join us for a session that celebrates the breadth of what EI has to offer with short papers selected from EI conferences.

NOTE: The EI-wide "EI 2023 Highlights" session is concurrent with Monday afternoon COIMG, COLOR, IMAGE, and IQSP conference sessions.


Evaluation of image quality metrics designed for DRI tasks with automotive cameras, Valentine Klein, Yiqi LI, Claudio Greco, Laurent Chanas, and Frédéric Guichard, DXOMARK (France) [view abstract]


Human performance using stereo 3D in a helmet mounted display and association with individual stereo acuity, Bonnie Posselt, RAF Centre of Aviation Medicine (United Kingdom) [view abstract]


Smartphone-enabled point-of-care blood hemoglobin testing with color accuracy-assisted spectral learning, Sang Mok Park1, Yuhyun Ji1, Semin Kwon1, Andrew R. O’Brien2, Ying Wang2, and Young L. Kim1; 1Purdue University and 2Indiana University School of Medicine (United States) [view abstract]


Designing scenes to quantify the performance of automotive perception systems, Zhenyi Liu1, Devesh Shah2, Alireza Rahimpour2, Joyce Farrell1, and Brian Wandell1; 1Stanford University and 2Ford Motor Company (United States) [view abstract]


Visualizing and monitoring the process of injection molding, Christian A. Steinparz1, Thomas Mitterlehner2, Bernhard Praher2, Klaus Straka1,2, Holger Stitz1,3, and Marc Streit1,3; 1Johannes Kepler University, 2Moldsonics GmbH, and 3datavisyn GmbH (Austria) [view abstract]


Commissioning the James Webb Space Telescope, Joseph M. Howard, NASA Goddard Space Flight Center (United States) [view abstract]


Critical flicker frequency (CFF) at high luminance levels, Alexandre Chapiro1, Nathan Matsuda1, Maliha Ashraf2, and Rafal Mantiuk3; 1Meta (United States), 2University of Liverpool (United Kingdom), and 3University of Cambridge (United Kingdom) [view abstract]


Physics guided machine learning for image-based material decomposition of tissues from simulated breast models with calcifications, Muralikrishnan Gopalakrishnan Meena1, Amir K. Ziabari1, Singanallur Venkatakrishnan1, Isaac R. Lyngaas1, Matthew R. Norman1, Balint Joo1, Thomas L. Beck1, Charles A. Bouman2, Anuj Kapadia1, and Xiao Wang1; 1Oak Ridge National Laboratory and 2Purdue University (United States) [view abstract]


Layered view synthesis for general images, Loïc Dehan, Wiebe Van Ranst, and Patrick Vandewalle, Katholieke University Leuven (Belgium) [view abstract]


A self-powered asynchronous image sensor with independent in-pixel harvesting and sensing operations, Ruben Gomez-Merchan, Juan Antonio Leñero-Bardallo, and Ángel Rodríguez-Vázquez, University of Seville (Spain) [view abstract]


Color blindness and modern board games, Alessandro Rizzi1 and Matteo Sassi2; 1Università degli Studi di Milano and 2consultant (Italy) [view abstract]


5:00 – 6:15 PM EI 2023 All-Conference Welcome Reception (in the Cyril Magnin Foyer)

Tuesday 17 January 2023

10:00 AM – 7:30 PM Industry Exhibition - Tuesday (in the Cyril Magnin Foyer)

10:20 – 10:50 AM Coffee Break

12:30 – 2:00 PM Lunch

Tuesday 17 January PLENARY: Embedded Gain Maps for Adaptive Display of High Dynamic Range Images

Session Chair: Robin Jenkin, NVIDIA Corporation (United States)
2:00 PM – 3:00 PM
Cyril Magnin I/II/III

Images optimized for High Dynamic Range (HDR) displays have brighter highlights and more detailed shadows, resulting in an increased sense of realism and greater impact. However, a major issue with HDR content is the lack of consistency in appearance across different devices and viewing environments. There are several reasons, including varying capabilities of HDR displays and the different tone mapping methods implemented across software and platforms. Consequently, HDR content authors can neither control nor predict how their images will appear in other apps.

We present a flexible system that provides consistent and adaptive display of HDR images. Conceptually, the method combines both SDR and HDR renditions within a single image and interpolates between the two dynamically at display time. We compute a Gain Map that represents the difference between the two renditions. In the file, we store a Base rendition (either SDR or HDR), the Gain Map, and some associated metadata. At display time, we combine the Base image with a scaled version of the Gain Map, where the scale factor depends on the image metadata, the HDR capacity of the display, and the viewing environment.

Eric Chan, Fellow, Adobe Inc. (United States)


Eric Chan is a Fellow at Adobe, where he develops software for editing photographs. Current projects include Photoshop, Lightroom, Camera Raw, and Digital Negative (DNG). When not writing software, Chan enjoys spending time at his other keyboard, the piano. He is an enthusiastic nature photographer and often combines his photo activities with travel and hiking.

Paul M. Hubel, director of Image Quality in Software Engineering, Apple Inc. (United States)


Paul M. Hubel is director of Image Quality in Software Engineering at Apple. He has worked on computational photography and image quality of photographic systems for many years on all aspects of the imaging chain, particularly for iPhone. He trained in optical engineering at University of Rochester, Oxford University, and MIT, and has more than 50 patents on color imaging and camera technology. Hubel is active on the ISO-TC42 committee Digital Photography, where this work is under discussion, and is currently a VP on the IS&T Board. Outside work he enjoys photography, travel, cycling, coffee roasting, and plays trumpet in several bay area ensembles.

3:00 – 3:30 PM Coffee Break

5:30 – 7:00 PM EI 2023 Symposium Demonstration Session (in the Cyril Magnin Foyer)

Wednesday 18 January 2023

Points and Meshes (W1.1)

Session Chair: Yi-Jen Chiang, New York University (United States)
8:45 – 9:50 AM

Conference Welcome

Mesh distance for dimension reduction and visualization of numerical simulation data, Shawn Martin, Milosz A. Sielicki, Matthew Letter, Jaxon Gittinger, Warren L. Hunt, and Patricia J. Crossno, Sandia National Laboratories (United States) [view abstract]


Visualizing digital architectural data for heritage education, Chase Brown1, Siyuan Yao1, Xiaoyun Zhang2, Chad Brown1, John Caven1, Krupali Krusche1, and Chaoli Wang1; 1University of Notre Dame and 2Massachusetts Institute of Technology (United States) [view abstract]


FastPoints: A state-of-the-art point cloud renderer for Unity, Elias Neuman-Donihue, Michael Jarvis, and Yuhao Zhu, University of Rochester (United States) [view abstract]


VDA Oral Poster Previews (W1.2)

Session Chair: Yi-Jen Chiang, New York University (United States)
9:50 – 10:20 AM

VDA-405 Preview: Case study on including ethics into introductory data visualization

[ORAL POSTER] ViT based Covid-19 detection and classification from CXR images, Muhammad Saeed1, Mohib Ullah2, Sultan D. Khan3, Faouzi Alaya Cheikh2, and Muhammad Sajjad2; 1Islamia College Peshawar (Pakistan), 2Norwegian University of Science and Technology (Norway), and 3National University of Technology (Pakistan) [view abstract]


10:00 AM – 3:30 PM Industry Exhibition - Wednesday (in the Cyril Magnin Foyer)

10:20 – 10:50 AM Coffee Break

Tools and Applications (W2)

Session Chair: David Kao, NASA Ames Research Ctr. (United States)
10:50 AM – 12:30 PM

CPViz: Visualizing clinical pathways represented in higher-order networks, Junghoon Chae1, Byung H. Park1, Minsu Kim1, Everett Rush2, Ozgur Ozmen1, Makoto Jones3,4, Merry Ward3, and Jonathan Nebeker3,4; 1Oak Ridge National Laboratory, 2Amazon, 3Veterans Administration, and 4The University of Utah (United States) [view abstract]


Teaching color science to EECS students using interactive tutorials: Tools and lessons, Yuhao Zhu, University of Rochester (United States) [view abstract]


FCLWebVis: A flexible cross-language web-based data visualization framework, Nguyen K. Phan1, George Navarro2, Reshmitha Muppala3, Sunny Kim4, Jonathan Chu4, and Guoning Chen5; 1University of Houston, 2The University of Texas at Austin, 3Round Rock High School, 4Klein Cain High School, and 5University of Houston System (United States) [view abstract]


Multi-layer visualization for media planning, Marina Ljubojevic1 and Mihai Mitrea2; 1Institut Polytechnique de Paris, Telecom SudParis and 2Institut Mines-Telecom (France) [view abstract]


Computer-supported expert-guided experiential learning-based tools for healthcare skills, Dixit B. Patel, Thomas Wischgoll, Yong Pei, Angie Castle, Anne Proulx, Danielle Gainer, Timothy Crawford, Autumn James, Ashutosh Shivakumar, Colleen Elizabeth Pennington, Hanna Peterson, Carolina Beatriz Nadal Medina, Sindhu Kumari, Mark Alow, Sri Lekha Koppaka, Cassandra Mae Patel, Joshua Patel, Neha Priyadarshani, and Paul Hershberger, Wright State University (United States) [view abstract]


12:30 – 2:00 PM Lunch

Wednesday 18 January PLENARY: Bringing Vision Science to Electronic Imaging: The Pyramid of Visibility

Session Chair: Andreas Savakis, Rochester Institute of Technology (United States)
2:00 PM – 3:00 PM
Cyril Magnin I/II/III

Electronic imaging depends fundamentally on the capabilities and limitations of human vision. The challenge for the vision scientist is to describe these limitations to the engineer in a comprehensive, computable, and elegant formulation. Primary among these limitations are visibility of variations in light intensity over space and time, of variations in color over space and time, and of all of these patterns with position in the visual field. Lastly, we must describe how all these sensitivities vary with adapting light level. We have recently developed a structural description of human visual sensitivity that we call the Pyramid of Visibility, that accomplishes this synthesis. This talk shows how this structure accommodates all the dimensions described above, and how it can be used to solve a wide variety of problems in display engineering.

Andrew B. Watson, chief vision scientist, Apple Inc. (United States)


Andrew Watson is Chief Vision Scientist at Apple, where he leads the application of vision science to technologies, applications, and displays. His research focuses on computational models of early vision. He is the author of more than 100 scientific papers and 8 patents. He has 21,180 citations and an h-index of 63. Watson founded the Journal of Vision, and served as editor-in-chief 2001-2013 and 2018-2022. Watson has received numerous awards including the Presidential Rank Award from the President of the United States.

3:00 – 3:30 PM Coffee Break

KEYNOTE: Visual Analytics (W3)

Session Chair: Thomas Wischgoll, Wright State University (United States)
3:30 – 5:30 PM

KEYNOTE: Deep learning for scientific data analysis and visualization, Chaoli Wang, University of Notre Dame (United States) [view abstract]

Chaoli Wang is a Professor in Computer Science and Engineering at the University of Notre Dame. His primary research interests include scientific visualization (e.g., flow visualization, time-varying multivariate data visualization, deep learning for scientific visualization), visual analytics (e.g., learning analytics, visual analytics for scientific visualization, visual analytics applications), information visualization (e.g., graph visualization), and visualization in education. Wang received his PhD (2006) in Computer and Information Science from The Ohio State University.


Comparative visualization for noise simulation data, Nikola Vugdelija1, Rainer Splechtna2, Goran Todorovic3, Mirko Suznjevic1, and Kresimir Matkovic2; 1University of Zagreb (Croatia), 2VRVis Research Center (Austria), and 3AVlL_AST doo (Croatia) [view abstract]


VVAFER — Versatile visual analytics framework for exploration and research, Moritz Zeumer1, Jonas Gilg1, Pawandeep Kaur Betz1, and Andreas Gerndt1,2; 1German Aerospace Center and 2University of Bremen (Germany) [view abstract]


Visualizing and monitoring the process of injection molding, Christian A. Steinparz1, Thomas Mitterlehner2, Bernhard Praher2, Klaus Straka1,2, Holger Stitz1,3, and Marc Streit1,3; 1Johannes Kepler University, 2Moldsonics GmbH, and 3datavisyn GmbH (Austria) [view abstract]


BioChipVis: An information visualization interface for explainable biochip data classification, Paul Craig1, Ruben Ng1, Yu Liu1, Boris Tefsen2, and Sam Linsen3; 1Xi'an Jiaotong-Liverpool University (China), 2Ronin Institute (United States), and 3SquaredAnt (China) [view abstract]


Visualization and Data Analysis 2023 Interactive (Poster) Paper Session

5:30 – 7:00 PM
Cyril Magnin Foyer

The following works will be previewed in the first morning conference oral session and then presented at the EI 2023 Symposium Interactive (Poster) Paper Session.

Case study on including ethics into introductory data visualization, Anna A. Baynes, California State University - Sacramento, Department of Computer Science (United States) [view abstract]


5:30 – 7:00 PM EI 2023 Symposium Interactive (Poster) Paper Session (in the Cyril Magnin Foyer)

5:30 – 7:00 PM EI 2023 Meet the Future: A Showcase of Student and Young Professionals Research (in the Cyril Magnin Foyer)

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