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


2023
Hotel Reservation Deadline 6 Jan
Symposium begins
15 Jan


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Conference Keynotes: Broaden Your Horizons 

Each conference invites individuals to become keynote speakers and many of our attendees make a point of listening to all these talks to gain a broader understanding of the current state of Electronic Imaging advances.

Monday January 16, 2023

Computational Imaging XXI

KEYNOTE: Neutron Imaging Beyond Traditional Radiography (M1)

Session Chairs: Alexander Long, Los Alamos National Laboratory (United States) and Sven Vogel, Los Alamos National Laboratory (United States)
8:45 – 10:20 AM
Market Street

8:45
Conference Welcome

8:50COIMG-129
KEYNOTE: Advanced neutron imaging, Markus Strobl, Paul Scherrer Institut (PSI) (Switzerland) [view abstract]

Prof. Dr. Markus Strobl is the leader of the Applied Materials group at the Paul Scherrer Institute (PSI) of Switzerland. The Applied Materials Group (AMG) is a group within the Laboratory for Neutron Scattering and Imaging LNS, in the division research with Neutrons and Muons NUM of PSI. AMG is operating 2 dedicated neutron imaging facilities and the neutron strain scanner (diffractometer) POLDI for users from scientific institutions and industry. AMG also provides complementary x-ray imaging (in-situ bi-modal) and has dedicated beamtimes for imaging studies at the test beamline BOA providing an intense cold polarized neutron beam. Strobl has over 230 publications in the field.

 



Imaging and Multimedia Analytics at the Edge 2023

KEYNOTE: Data & Learning (M1)

Session Chair: Qian Lin, HP Inc. (United States)
8:45 – 10:20 AM
Balboa

8:45
Conference Welcome

8:50IMAGE-264
KEYNOTE: Small data, big insights, Raja Bala, Amazon (United States) [view abstract]

Dr. Raja Bala is a principal applied scientist at Amazon. His research interests include computer vision, deep learning, image/video processing, mobile imaging, and color imaging. Bala is an inventor on 180 patents and has authored over 100 publications in the field of digital imaging and computer vision. He is co-editor of IEEE-Wiley book: "Computer Vision and Imaging in Intelligent Transportation Systems" and is the principal liaison for numerous industry-university partnerships. Prior to joining Amazon, Bala was principal scientist, and leader of the Collaborative Visual Computing Group at PARC. Bala is a Fellow of IS&T, and a Senior Member of IEEE.

 



Stereoscopic Displays and Applications XXXIV

KEYNOTE: SD&A 1 (M2.1)

Session Chair: Andrew Woods, Curtin University (Australia)
10:50 – 11:50 AM
Cyril Magnin II

SD&A-386
KEYNOTE: The long-awaited arrival of holographic interfaces, Shawn Frayne, Looking Glass Factory (United States) [view abstract]

Inspired by movies in the 80s and 90s, Shawn Frayne has been reaching towards the dream of the hologram for over 20 years. Frayne got his start with a classic laser interference pattern holographic studio he built in high school, followed by training in advanced holographic film techniques at MIT. He has been awarded dozens of patents around the world and serves as co-founder and CEO of Looking Glass Factory, based in Brooklyn and Hong Kong.

 



Imaging and Multimedia Analytics at the Edge 2023

PANEL: Watch What You Eat: Panel on Food/Health from the Perspective of AI and Privacy (M2.2)

Panel Moderator: Reiner Fageth, CEWE Stiftung & Co.KGaA (Germany)
12:00 – 12:30 PM
Balboa


Computational Imaging XXI

KEYNOTE: Computational Imaging using Fourier Ptychography and Phase Retrieval (M3)

Session Chairs: Tony Allen, Purdue University (United States) and Andre Van Rynbach, U.S. Air Force (United States)
3:30 – 4:50 PM
Market Street

3:30COIMG-138
KEYNOTE: Computational phase imaging, Laura Waller, University of California, Berkeley (United States) [view abstract]

Laura Waller leads the Computational Imaging Lab, which develops new methods for optical imaging, with optics and computational algorithms designed jointly. She holds the Ted Van Duzer Endowed Professorship and is a Senior Fellow at the Berkeley Institute of Data Science (BIDS), with affiliations in Bioengineering and Applied Sciences & Technology. Laura was a Postdoctoral Researcher and Lecturer of Physics at Princeton University from 2010-2012 and received BS, MEng and PhD degrees from MIT in 2004, 2005 and 2010, respectively. She is a Moore Foundation Data-Driven Investigator, Bakar fellow, Distinguished Graduate Student Mentoring awardee, NSF CAREER awardee, Chan-Zuckerberg Biohub Investigator, SPIE Early Career Achievement Awardee and Packard Fellow.

 



Tuesday January 17, 2023

High Performance Computing for Imaging 2023

KEYNOTE: High-Performance Imaging (T1)

Session Chair: Xiao Wang, Oak Ridge National Laboratory (United States)
8:50 – 10:20 AM
Mason

8:50HPCI-233
KEYNOTE: Reducing the barriers to high performance imaging, Charles A. Bouman, Purdue University (United States) [view abstract]

Prof. Charles A. Bouman received a BSEE from the University of Pennsylvania in 1981 and an MS from the University of California at Berkeley in 1982. From 1982 to 1985, he was a full staff member at MIT Lincoln Laboratory and in 1989 he received a PhD in electrical engineering from Princeton University. He joined the faculty of Purdue University in 1989 where he is currently the Showalter Professor of Electrical and Computer Engineering and Biomedical Engineering. Prof. Bouman’s research is in the area of computational imaging and sensing where he is focused on the integration of signal processing, statistical modeling, physics, and computation to solve difficult sensing problems with applications in healthcare, material science, physics, chemistry, commercial and consumer imaging. His research resulted in the first commercial model-based iterative reconstruction (MBIR) system for medical X-ray computed tomography (CT), and he is co-inventor on over 50 issued patents that have been licensed and used in millions of consumer imaging products. Professor Bouman is a member of the National Academy of Inventors, a Fellow of the IEEE, a Fellow and Honorary Member of the society for Imaging Science and Technology (IS&T), a Fellow of the American Institute for Medical and Biological Engineering (AIMBE), and a Fellow of the SPIE professional society. He is the recipient of the 2021 IEEE Signal Processing Society, Claude Shannon-Harry Nyquist Technical Achievement Award, the 2014 Electronic Imaging Scientist of the Year award, and the IS&T’s Raymond C. Bowman Award; and in 2020, his paper on Plug-and-Play Priors won the SIAM Imaging Science Best Paper Prize. He was previously the Editor-in-Chief for the IEEE Transactions on Image Processing; a Distinguished Lecturer for the IEEE Signal Processing Society; and a Vice President of Technical Activities for the IEEE Signal Processing Society, during which time he led the creation of the IEEE Transactions on Computational Imaging. He has been an associate editor for the IEEE Transactions on Image Processing, the IEEE Transactions on Pattern Analysis and Machine Intelligence, and the SIAM Journal on Mathematical Imaging. He has also been a Vice President of Publications and a member of the Board of Directors for the IS&T Society, and he is the founder and Co-Chair of the long running IS&T conference on Computational Imaging.

 



Imaging and Multimedia Analytics at the Edge 2023

KEYNOTE: Applications I (T1)

Session Chair: Raja Bala, Amazon (United States)
8:50 – 10:10 AM
Balboa

8:50IMAGE-274
KEYNOTE: Multi-scale representations for human pose estimation: Advances and applications, Andreas Savakis, Rochester Institute of Technology (United States) [view abstract]

Prof. Andreas Savakis is director of the Center for Human-aware AI (CHAI) and Professor of Computer Engineering at the Rochester Institute of Technology. His primary area of research is computer vision, with secondary interests in computational imaging and image processing. Savakis founded the Vision and Image Processing lab (VIP-lab) at RIT, where he works with students on topics including recognition, tracking, segmentation, pose estimation, facial expression, scene analysis, domain adaptation, and robust learning.

 



Human Vision and Electronic Imaging 2023 -and- Image Quality and System Performance XX

KEYNOTE: Perceptual Video Quality 1 (T1)

Session Chairs: Lukáš Krasula, Netflix, Inc. (United States) and Mohamed Chaker Larabi, Université de Poitiers (France)
9:05 – 10:10 AM
Cyril Magnin III

This session is jointly sponsored by: Human Vision and Electronic Imaging 2023, and Image Quality and System Performance XX.



Joint Conference Welcome

HVEI-258
KEYNOTE: Bringing joy to Netflix members through perceptual encoding optimization, Anne Aaron, Netflix, Inc. (United States) [view abstract]

As Director of Encoding Technologies, Anne Aaron leads the team responsible for media processing and encoding at Netflix. Her team works on video, audio, images and timed-text -- from analysis to processing, encoding, packaging and DRM. On the streaming side, they strive to deliver a compelling viewing experience for millions of Netflix members worldwide, no matter where, how and what they watch. For the Netflix studio, they build media technologies that can improve content production. In her previous role at Netflix, Aaron led the Video Algorithms team. As a team, they researched and deployed innovation in the video encoding space (per-title encoding, video quality assessment and perceptual metrics, shot-based encoding, HDR, next-generation codecs) that benefited Netflix members as well as impacted the rest of the industry. Recent recognitions include: Some recent recognitions: SMPTE 2019 Workflow Systems Medal, Forbes' 2018 America's top women in Tech, Business Insider's 2017 Most powerful female engineers in US tech in 2017.

 



Engineering Reality of Virtual Reality 2023 -and- Stereoscopic Displays and Applications XXXIV

KEYNOTE: SD&A 2 (T2.1)

Session Chair: Nicolas Holliman, King's College London (United Kingdom)
10:50 – 11:50 AM
Cyril Magnin II

This session is jointly sponsored by: Engineering Reality of Virtual Reality 2023, and Stereoscopic Displays and Applications XXXIV.


SD&A-224
KEYNOTE: 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]

Wing Commander (Dr) Bonnie Posselt is a medical officer in the RAF (UK) specialising in Aviation and Space Medicine. Bonnie is currently based at the RAF Centre of Aviation Medicine in Bedfordshire, UK, having recently returned from a 3.5year exchange tour to Wright-Patterson Air Force Base in Ohio. While working with the 711th Human Performance Wing and the Air Force Research Laboratory (AFRL) in Ohio, Bonnie undertook a PhD in Helmet Mounted Displays and vision standards in collaboration with the University of Birmingham (UK). Bonnie is a graduate of the University of Manchester, King’s College London, and the International Space University. She is an associate fellow of the Aerospace Medical Association and elected member of the Royal Aeronautical Society.

 



Imaging Sensors and Systems 2023

KEYNOTE: Innovative Imaging Systems (T2)

Session Chairs: Francisco Imai, Apple Inc. (United States) and Kevin Matherson, Microsoft (United States)
10:50 AM – 12:30 PM
Powell I/II

10:50ISS-331
KEYNOTE: Metaphotonic routers for solid-state imaging: Making every photon count, Peter B. Catrysse, Stanford University (United States) [view abstract]

Dr. Peter B. Catrysse is a Senior Research Scientist in the E. L. Ginzton Laboratory (Stanford University). He holds a PhD and an MSc in Electrical Engineering from Stanford University. With his doctoral research, he pioneered the integration of subwavelength metal optics for color filtering in standard deep-submicron CMOS technology. His recent work focuses on metaphotonics at the interface between fundamental physics and imaging applications. Dr. Catrysse has published more than 120 peer-reviewed papers, presented over 40 invited talks, and has been awarded 8 patents. He was named one of “50 Tech” pioneers by the Belgian Financial Times (2017) and is featured in the top 1% leading Engineering and Technology Scientists on the academic portal Research (2022). Dr. Catrysse is a Fellow of the Optical Society (Optica), a Fellow of the SPIE, a Senior Member of the IEEE, and a Hoover Foundation Brussels Fellow of the BAEF.

 



Wednesday January 18, 2023

Computational Imaging XXI -and- Imaging Sensors and Systems 2023

KEYNOTE: Processing at the Edge (W1)

Session Chairs: Stanley Chan, Purdue University (United States) and Boyd Fowler, OmniVision Technologies (United States)
8:45 – 10:20 AM
Market Street

This session is jointly sponsored by: Computational Imaging XXI, and Imaging Sensors and Systems 2023.


8:45
COIMG/ISS Joint Sessions Welcome

8:50COIMG-177
KEYNOTE: Deep optics: Learning cameras and optical computing systems, Gordon Wetzstein, Stanford University (United States) [view abstract]

Gordon Wetzstein is an Associate Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Lab and a faculty co-director of the Stanford Center for Image Systems Engineering. At the intersection of computer graphics and vision, artificial intelligence, computational optics, and applied vision science, Prof. Wetzstein's research has a wide range of applications in next-generation imaging, wearable computing, and neural rendering systems. Prof. Wetzstein is a Fellow of Optica and the recipient of numerous awards, including an NSF CAREER Award, an Alfred P. Sloan Fellowship, an ACM SIGGRAPH Significant New Researcher Award, a Presidential Early Career Award for Scientists and Engineers (PECASE), an SPIE Early Career Achievement Award, an Electronic Imaging Scientist of the Year Award, an Alain Fournier Ph.D. Dissertation Award as well as many Best Paper and Demo Awards.

 



Engineering Reality of Virtual Reality 2023, Human Vision and Electronic Imaging 2023, -and- Stereoscopic Displays and Applications XXXIV

KEYNOTE: AR/VR Special Session 1 (W1)

Session Chair: Alexandre Chapiro, Meta (United States)
9:05 – 10:10 AM
Cyril Magnin II

This session is jointly sponsored by: Engineering Reality of Virtual Reality 2023, Human Vision and Electronic Imaging 2023, and Stereoscopic Displays and Applications XXXIV.



Joint Conference Welcome

HVEI-219
KEYNOTE: Display consideration for AR/VR systems, Ajit Ninan, Reality Labs at Meta (United States) [view abstract]

 

Ajit Ninan is a display industry veteran and led the way to the industry adopting HDR. His inventions & innovations are manifest in millions of shipped HDR TV’s and consumer electronics from multiple companies. He holds 400+ granted patents in imaging and display technology and now works in imaging related to AR/VR at Meta as Senior Director of Applied Perceptual Science and Image Quality. His work spans multiple subjects ranging from Displays, Imaging, Color, Video, Compression, Audio and Networking. His career spans early start-ups to public companies. Ninan is the inventor of the local dimmed quantum dot TV and led the way to the industry adoption of quantum dot displays by working with Vizio, Nanosys and 3M to release the first of its kind R-series QD TV with HDR. He also led the effort with the JPEG committee to standardize JPEG-XT to enable JPEG HDR images. Ninan was inducted as a SMPTE Fellow for his contributions to imaging and standards. The display that caused the world to adopt HDR called the “Pulsar” capable of 4000nits down to .005nits with P3 color in 2010, built by Ninan and his team, has received many awards including the Advanced Imaging Society’s Lumiere award which enabled the development of Dolby Vision and earned Ninan an Emmy.

 



High Performance Computing for Imaging 2023

PANEL: High-Performance Computing in Imaging: from Academia to Industry (W1)

Panelists: Yuankai Huo, Vanderbilt University (United States); Yucheng Tang, NVIDIA Corporation (United States); and Xiao Wang, Oak Ridge National Laboratory (United States)
9:10 – 10:10 AM
Mason


Engineering Reality of Virtual Reality 2023, Human Vision and Electronic Imaging 2023, -and- Stereoscopic Displays and Applications XXXIV

PANEL: AR/VR Special Session (W3.1)

Session Chairs: Nicko Caluya, Ritsumeikan University (Japan) and Alexandre Chapiro, Meta (United States)
Panelists: Alexandre Chapiro, Meta (United States); Yuichiro Fujimoto, Nara Institute of Science and Technology (Japan); Nicolas Holliman, King's College London (United Kingdom); and Ajit Ninan, Reality Labs at Meta (United States)
3:30 – 4:50 PM
Cyril Magnin II

This session is jointly sponsored by: Engineering Reality of Virtual Reality 2023, Human Vision and Electronic Imaging 2023, and Stereoscopic Displays and Applications XXXIV.



Image Processing: Algorithms and Systems XXI

KEYNOTE: Systematic Data Labeling (W3.1)

Session Chairs: Karen Egiazarian, Tampere University (Finland) and Atanas Gotchev, Tampere University (Finland)
3:30 – 4:15 PM
Cyril Magnin III

3:30
Conference Welcome

3:35IPAS-284
KEYNOTE: Systematic data labeling at the point of ingestion in enterprise systems, Gevorg Karapetyan, Zero Cognitive Systems (United States) [view abstract]

Gevorg Karapetyan is co-founder and Chief Technology Officer with Zero Cognitive Systems. In this role Karapetyan leads long-term technology vision and is responsible for the direction, coordination, and delivery of technology. Founded in 2015 in Los Gatos, California, Zero is dedicated to applying artificial intelligence and smart automation to the most pressing operational challenges of the professional services industry. Karapetyan previously worked at Imagenomic as a Senior Software Engineer and attended National Polytechnic University of Armenia. Karapetyan holds a PhD in Computer Science and has more than 10 years of experience in developing intelligent automation systems.

 



Imaging Sensors and Systems 2023

KEYNOTE: Sensor Design II (W3)

Session Chairs: Min-Woong Seo, Samsung Electronics (Republic of Korea) and Hari Tagat, Casix (United States)
3:30 – 5:10 PM
Powell I/II

3:30ISS-341
KEYNOTE: Event camera noise and denoising, Tobi Delbrück, Institute of Neuroinformatics, University of Zurich and ETH Zurich (Switzerland) [view abstract]

Tobi Delbrück (IEEE M'99, SM'06, F'13) received his BSc in physics from University of California in 1986 and his PhD from Caltech in 1993 as the first student with the Computation and Neural Systems program with PhD supervisor Carver Mead. He is an ETH Honorary Professor of Physics and Electrical Engineering, and has been with the Institute of Neuroinformatics, University of Zurich and ETH Zurich since 1998. The Sensors Group that he co-directs together with Prof. Shih-Chii Liu works on a broad range of topics covering device physics to computer vision and control, with a theme of efficient neuromorphic processing in hardware. He co-organizes the Telluride Neuromorphic Engineering workshop and has organized live demonstration sessions at ISCAS, NeuIPS, and AICAS and two conference Sessions at ISCAS. Delbrück is past Chair of the IEEE CAS Sensory Systems Technical Committee. He worked on electronic imaging at Arithmos, Synaptics, National Semiconductor, and Foveon and has co-founded 3 companies (Inilabs, Insightness and Inivation). His papers have been awarded 13 IEEE awards and he was named a Fellow of the IEEE Circuits and Systems Society for his work on neuromorphic sensors and processing. He likes to read storybooks, play tennis, and sometimes tries card magic.

 



Visualization and Data Analysis 2023

KEYNOTE: Visual Analytics (W3)

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

3:30VDA-400
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.

 



Human Vision and Electronic Imaging 2023

BANQUET: 2023 Friends of HVEI (W5)

Session Chairs: Damon Chandler, Ritsumeikan University (Japan) and Rafal Mantiuk, University of Cambridge (United Kingdom)
7:00 – 10:00 PM
MISSION I/II/III

HVEI-250
KEYNOTE: How to let your pictures shine! The impact of high dynamic range imaging on photography, Timo Kunkel, Dolby Laboratories, Inc. (United States) [view abstract]

Join us for a wonderful evening of conversations, a banquet dinner, and an enlightening speaker. This banquet is associated with the Human Vision and Electronic Imaging Conference (HVEI), but everyone interested in research at the intersection of human perception/cognition, imaging technologies, and art is welcome. Banquet registration required, online or at the registration desk. Location will be provided with registration.

Dr. Timo Kunkel is director of image technology & standards in the CTO office of Dolby Laboratories, Inc. His fields of expertise include image processing, color science, high dynamic range imaging, color appearance modeling, and advanced display technologies. Kunkel is engaged in developing color management models for both professional and consumer displays (dynamic range and gamut mapping concepts). This involves active research, code development and QA as well as applying metrological and psychophysical concepts for verification, icluding picture quality assessment and tuning for several display technologies from customers all over the world. Additionally, he has experience in neuroscience and psychological concepts related to the Human Visual System (signal processing in the retina and higher visual cortex), and has been involved in developing the core concepts of what is now Dolby Vision. Kunkel is also actively involved with international standards work, serving as technical expert and member of IEC TC100 (Audio, video and multimedia systems and equipment) and TC110 (Electronic displays), the International Color Consortium (ICC), as well as the SID International Committee of Display Metrology (ICDM). Further, Kunkel has a background in Physical Geosciences (remote sensing and geospatial image processing, GIS, Vegetation- and Ecosystem Modeling) and has worked in these fields with research departments at Lund University in Sweden, Lincoln University in New Zealand, and the University of Dar es Salaam in Tanzania. This work is supported by more than 20 years of experience as a freelance landscape and architecture photographer for clients in Europe and the US, winning several prizes with images combining HDR and computational photography aspects. Kunkel served as president of Bristol Chapter, ACM SIGGRAPHACM SIGGRAPH, 2006 - 2008, and was co-founder of the Bruder & Bär publishing company (Germany), serving there as Art Director, 2003 - 2006. Kunkel holds a PhD in computer science from University of Bristol, United Kingdom, and a MSc from University of Freiburg, Germany.

 



Thursday January 19, 2023

Image Processing: Algorithms and Systems XXI

KEYNOTE: Vulnerability of Neural Networks (R2.1)

Session Chairs: Karen Egiazarian, Tampere University (Finland) and Atanas Gotchev, Tampere University (Finland)
10:50 – 11:30 AM
Cyril Magnin III

IPAS-294
KEYNOTE: Surprising vulnerability of neural networks: Recovering training and input data in federated learning and split computing, Pavlo Molchanov, NVIDIA Corporation (United States) [view abstract]

Pavlo Molchanov obtained his PhD (2014) from Tampere University of Technology, Finland, in the area of signal processing. His dissertation focused on designing automatic target recognition systems for radars. Since 2015 he has been with the Learning and Perception Research team at NVIDIA, currently holding a senior research scientist position. His research is focused on methods for neural network acceleration, and designing novel human-computer interaction systems and human understanding. On network acceleration, he is interested in neural network pruning methods and conditional inference. For human understanding he is working on landmark estimation, gesture recognition, hand pose estimation.

 



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