IMPORTANT DATES

2021
Journal-first submissions deadline
8 Aug
Priority submissions deadline 30 Jul
Final abstract submissions deadline 15 Oct
Manuscripts due for FastTrack publication
30 Nov

 
Early registration ends 31 Dec


2022
Short Courses
11-14 Jan
Symposium begins
17 Jan
All proceedings manuscripts due
31 Jan

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Computer Vision and Image Analysis of Art 2022 Program

NOTES ABOUT THIS VIEW OF THE PROGRAM
  • Below is the the program in San Francisco time.
  • Talks are to be presented live during the times noted and will be recorded. The recordings may be viewed at your convenience, as often as you like, until 15 May 2022.

Monday 17 January 2022

IS&T Welcome & PLENARY: Quanta Image Sensors: Counting Photons Is the New Game in Town

07:00 – 08:10

The Quanta Image Sensor (QIS) was conceived as a different image sensor—one that counts photoelectrons one at a time using millions or billions of specialized pixels read out at high frame rate with computation imaging used to create gray scale images. QIS devices have been implemented in a CMOS image sensor (CIS) baseline room-temperature technology without using avalanche multiplication, and also with SPAD arrays. This plenary details the QIS concept, how it has been implemented in CIS and in SPADs, and what the major differences are. Applications that can be disrupted or enabled by this technology are also discussed, including smartphone, where CIS-QIS technology could even be employed in just a few years.


Eric R. Fossum, Dartmouth College (United States)

Eric R. Fossum is best known for the invention of the CMOS image sensor “camera-on-a-chip” used in billions of cameras. He is a solid-state image sensor device physicist and engineer, and his career has included academic and government research, and entrepreneurial leadership. At Dartmouth he is a professor of engineering and vice provost for entrepreneurship and technology transfer. Fossum received the 2017 Queen Elizabeth Prize from HRH Prince Charles, considered by many as the Nobel Prize of Engineering “for the creation of digital imaging sensors,” along with three others. He was inducted into the National Inventors Hall of Fame, and elected to the National Academy of Engineering among other honors including a recent Emmy Award. He has published more than 300 technical papers and holds more than 175 US patents. He co-founded several startups and co-founded the International Image Sensor Society (IISS), serving as its first president. He is a Fellow of IEEE and OSA.


08:10 – 08:40 EI 2022 Welcome Reception

Tuesday 18 January 2022

Computer Analysis of Fine Art

Session Chair: Kurt Heumiller, Museum of Modern Art (United States)
10:20 – 11:25
Yellow Room

10:20
Conference Introduction

10:25CVAA-169
Improving semantic segmentation of fine art images using photographs rendered in a style learned from artworks, Thomas Heitzinger1 and David G. Stork2; 1TU Wien (Austria) and 2Consultant (United States) [view abstract]

 

10:45CVAA-170
Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks, Gregory Kell1, Ryan Rhys Griffiths2, Anthony Bourached3, and David G. Stork4; 1King's College London (United Kingdom), 2University of Cambridge (United Kingdom), 3University College London (United Kingdom), and 4Consultant (United States) [view abstract]

 

11:05CVAA-171
Improved identification of portraiture of the Julio-Claudian period with mobile apps (JIST-first), Dmitri A. Gusev, Purdue University (United States) [view abstract]

 



Wednesday 19 January 2022

IS&T Awards & PLENARY: In situ Mobility for Planetary Exploration: Progress and Challenges

07:00 – 08:15

This year saw exciting milestones in planetary exploration with the successful landing of the Perseverance Mars rover, followed by its operation and the successful technology demonstration of the Ingenuity helicopter, the first heavier-than-air aircraft ever to fly on another planetary body. This plenary highlights new technologies used in this mission, including precision landing for Perseverance, a vision coprocessor, new algorithms for faster rover traverse, and the ingredients of the helicopter. It concludes with a survey of challenges for future planetary mobility systems, particularly for Mars, Earth’s moon, and Saturn’s moon, Titan.


Larry Matthies, Jet Propulsion Laboratory (United States)

Larry Matthies received his PhD in computer science from Carnegie Mellon University (1989), before joining JPL, where he has supervised the Computer Vision Group for 21 years, the past two coordinating internal technology investments in the Mars office. His research interests include 3-D perception, state estimation, terrain classification, and dynamic scene analysis for autonomous navigation of unmanned vehicles on Earth and in space. He has been a principal investigator in many programs involving robot vision and has initiated new technology developments that impacted every US Mars surface mission since 1997, including visual navigation algorithms for rovers, map matching algorithms for precision landers, and autonomous navigation hardware and software architectures for rotorcraft. He is a Fellow of the IEEE and was a joint winner in 2008 of the IEEE’s Robotics and Automation Award for his contributions to robotic space exploration.


Computer Vision and Image Analysis of Art 2022 Poster

08:20 – 09:20
EI Symposium

Poster interactive session for all conferences authors and attendees.


CVAA-186
P-03: Artist-specific style transfer for deep net semantic segmentation of paintings: The value of large corpora of surrogate artworks, Matthias Wödlinger1, Thomas Heitzinger1, and David G. Stork2; 1TU Wien (Austria) and 2Consultant (United States) [view abstract]

 



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