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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Autonomous Vehicles and Machines 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

Sensors (T1)

Session Chair: Brian Deegan, National University of Ireland, Galway (Ireland)
9:05 – 9:50 AM
Cyril Magnin I

Conference Welcome

How much depth information can radar contribute to a depth estimation model?, Chen-Chou Lo and Patrick Vandewalle, Katholieke University Leuven (Belgium) [view abstract]


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

10:20 – 10:40 AM Coffee Break

Camera Performance Evaluation (T2)

Session Chair: Patrick Denny, University of Limerick (Ireland)
10:40 AM – 12:40 PM
Cyril Magnin I

Update on progress of IEEE P2020 Automotive Image Quality Working Group, The IEEE P2020 Working Group1, Uwe Artmann2, and Darryl Perks3; 1IEEE Standards Association - P2020 Automotive Image Quality Working Group (United States), 2presenter (Image Engineering GmbH & Co KG) (Germany), and 3presenter (onsemi) (United Kingdom) [view abstract]


An investigation into the impact of image compression on image quality prior to image signal processing, Jordan Cahill1, Brian Deegan2, Patrick Denny3, Enda Ward4, Martin Glavin1, and Edward Jones1; 1University of Galway, 2National University of Ireland, Galway, 3University of Limerick, and 4Valeo Vision Systems (Ireland) [view abstract]


Modulation-transfer function as performance indicator for AI algorithms?, Patrick Müller1 and Alexander Braun2; 1Hochschule Düsseldorf, University of Applied Sciences Düsseldorf and 2Düsseldorf University of Applied Sciences (Germany) [view abstract]


The influence of image capture and processing on MTF for end of line test and validation, Brian Deegan, Martin Glavin, and Edward Jones, University of Galway (Ireland) [view abstract]


Comprehensive stray light (flare) testing: Lessons learned, Jackson S. Knappen, Imatest LLC (United States) [view abstract]


Optical flow for autonomous driving: applications, challenges and improvements, Shihao Shen1, Louis Kerofsky2, and Senthil Yogamani3; 1Carnegie Mellon University (United States), 2Qualcomm Technologies Inc. (United States), and 3QT Technologies Ireland Limited (Ireland) [view abstract]


12:40 – 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

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

10:20 – 10:50 AM Coffee Break

End-to-end Systems (W2)

Session Chair: Patrick Denny, University of Limerick (Ireland)
11:10 AM – 12:30 PM
Cyril Magnin I

tRANSAC: Dynamic feature accumulation across time for stable online RANSAC model estimation in automotive applications, Shimiao Li1, Yang Song2, Ruijiang Luo1, Zhongyang Huang1, and Chengming Liu1; 1OmniVision Technologies (Singapore) and 2OmniVision Technologies Inc. (United States) [view abstract]


End-to-end evaluation of practical video analytics systems for face detection and recognition, Praneet Singh, Edward J. Delp, and Amy R. Reibman, Purdue University (United States) [view abstract]


Orchestration of co-operative and adaptive multi-core deep learning engines, Mihir Mody1, Kumar Desappan1, Pramod Swami1, David Smith1, Shyam Jagannathan1, Kevin Lavery1, Gregory Shultz1, Jason Jones1, and Jesse Villarreal2; 1Texas Instruments India Ltd (India) and 2Texas Instruments (United States) [view abstract]


opTIFlow – An optimized end-to-end dataflow for accelerating deep learning workloads on heterogeneous SoCs, Shyam Jagannathan1, Vijay Pothukuchi2, Jesse Villarreal2, Kumar Desappan1, Manu Mathew1, Rahul Ravikumar1, Aniket Limaye1, Mihir Mody1, Pramod Swami1, Piyali Goswami1,3, Carlos Rodriguez3, Emmanuel Madrigal3, and Marco Herrera3; 1Texas Instruments India Ltd (India), 2Texas Instruments (United States), and 3RidgeRun (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

Simulation Methods (W3)

Session Chair: Alexander Braun, Düsseldorf University of Applied Sciences (Germany)
3:30 – 5:10 PM
Cyril Magnin I

Simulation standards and their impact on the quantification of simulation quality, Marius Dupuis, ASAM e.V. (Germany) [view abstract]


Design and validation of a rain model for a realistic automotive simulation environment, Tim Brophy1, Brian Deegan1, Martin Glavin1, Javier Salado2, Ángel Tena2, Patrick Denny3, Enda Ward4, Jonathan Horgan4, and Edward Jones1; 1University of Galway (Ireland), 2Anyverse (Spain), 3University of Limerick (Ireland), and 4Valeo (Ireland) [view abstract]


Simulating motion blur and exposure time and evaluating its effect on image quality and object detection performance., Hao Lin, University of Galway (Ireland) [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]


Design of an automotive platform for computer vision research, Dominik Schörkhuber1, Roman Popp2, Oleksandr Chistov3, Fabian Windbacher4, Michael Hödlmoser4, and Margrit Gelautz1; 1Vienna University of Technology, 2ZKW Lichtsysteme, 3ZKW Group GmbH, and 4emotion3d (Austria) [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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