Tuesday 19 January 2021
PLENARY: Deep Internal Learning—Deep Learning with Zero Examples
Session Chair: Charles Bouman, Purdue University (United States)
10:00 – 11:10
Plenary Room
Deep internal learning—Deep learning with zero examples
Michal Irani, Professor in the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science (Israel)
Michal Irani is a professor at the Weizmann Institute of Science. Her research interests include computer vision, AI, and deep learning. Irani's prizes and honors include the Maria Petrou Prize (2016), the Helmholtz “Test of Time Award” (2017), the Landau Prize in AI (2019), and the Rothschild Prize in Mathematics and Computer Science (2020). She also received the ECCV Best Paper Awards (2000 and 2002), and the Marr Prize Honorable Mention (2001 and 2005).
11:10 – 11:40 SESSION BREAK: Join speakers in the EI2021 Discord Voice Channel corresponding to the color of the room in which the session occurs or join an Open Discord Channel of your choice. After a plenary, join the Plenary Discord Voice Channel.
14:30 – 18:00 Break in program to accommodate time zones.
Thursday 21 January 2021
PLENARY: The Development of Integral Color Image Sensors and Cameras
Session Chair: Jonathan B. Phillips, Google Inc. (United States)
10:00 – 11:10
Plenary Room
The development of integral color image sensors and cameras
Kenneth A. Parulski, Expert Consultant: Mobile Imaging (United States)
Kenneth Parulski is an expert consultant to mobile imaging companies and leads the development of ISO standards for digital photography. He joined Kodak in 1980 after graduating from MIT and retired in 2012 as research fellow and chief scientist in Kodak's digital photography division. His work has been recognized with a Technical Emmy and other major awards. Parulski is a SMPTE fellow and an inventor on more than 225 US patents.
11:10 – 11:40 SESSION BREAK: Join speakers in the EI2021 Discord Voice Channel corresponding to the color of the room in which the session occurs or join an Open Discord Channel of your choice. After a plenary, join the Plenary Discord Voice Channel.
14:30 – 18:00 Break in program to accommodate time zones.
Monday 25 January 2021
PLENARY: Making Invisible Visible
Session Chair: Jonathan B. Phillips, Google Inc. (United States)
10:00 – 11:10
Plenary Room
Making invisible visible
Ramesh Raskar, Associate Professor, MIT Media Lab (United States)
Ramesh Raskar is an associate professor at MIT Media Lab and directs the Camera Culture research group. His focus is on AI and imaging for health and sustainability. They span research in physical (e.g., sensors, health-tech), digital (e.g., automated and privacy-aware machine learning), and global (e.g., geomaps, autonomous mobility) domains. He received the Lemelson Award (2016), ACM SIGGRAPH Achievement Award (2017), DARPA Young Faculty Award (2009), Alfred P. Sloan Research Fellowship (2009), TR100 Award from MIT Technology Review (2004), and Global Indus Technovator Award (2003). He has worked on special research projects at Google [X] and Facebook and co-founded/advised several companies.
11:10 – 11:40 SESSION BREAK: Join speakers in the EI2021 Discord Voice Channel corresponding to the color of the room in which the session occurs or join an Open Discord Channel of your choice. After a plenary, join the Plenary Discord Voice Channel.
14:30 – 18:00 Break in program to accommodate time zones.
Wednesday 27 January 2021
PLENARY: Revealing the Invisible to Machines with Neuromorphic Vision Systems: Technology and Applications Overview
Session Chair: Radka Tezaur, Intel Corporation (United States)
10:00 – 11:10
Plenary Room
Revealing the invisible to machines with neuromorphic vision systems: Technology and applications overview
Luca Verre, CEO and Co-Founder at Prophesee (France)
Luca Verre is co-founder and CEO of Prophesee, the inventor of the world’s most advanced neuromorphic vision systems. Verre is a World Economic Forum technology pioneer. His experience includes project and product management, marketing, and business development roles at Schneider Electric. Prior to Schneider Electric, Verre worked as a research assistant in photonics at the Imperial College of London. Verre holds a MSc in physics, electronic and industrial engineering from Politecnico di Milano and Ecole Centrale and an MBA from Institut Européen d'Administration des Affaires, INSEAD.
11:10 – 11:40 SESSION BREAK: Join speakers in the EI2021 Discord Voice Channel corresponding to the color of the room in which the session occurs or join an Open Discord Channel of your choice. After a plenary, join the Plenary Discord Voice Channel.
13:00 – 13:30 SESSION BREAK: Join speakers in the EI2021 Discord Voice Channel corresponding to the color of the room in which the session occurs or join an Open Discord Channel of your choice. After a plenary, join the Plenary Discord Voice Channel.
14:30 – 18:00 Break in program to accommodate time zones.
19:15 – 19:45 SESSION BREAK: Join speakers in the EI2021 Discord Voice Channel corresponding to the color of the room in which the session occurs or join an Open Discord Channel of your choice. After a plenary, join the Plenary Discord Voice Channel.
19:15 – 19:45 Women-in-Engineering Speed Networking (Evening) - take a break from technical sessions to make new connections and greet old friends. Look for the ZOOM link in Discord #announcements.
Thursday 28 January 2021
11:15 – 11:45 SESSION BREAK: Join speakers in the EI2021 Discord Voice Channel corresponding to the color of the room in which the session occurs or join an Open Discord Channel of your choice. After a plenary, join the Plenary Discord Voice Channel.
CONFERENCE INTERACTIVE POSTERS, DEMONSTRATIONS, AND BREAK
12:45 – 13:15
see below for location
Posters and/or Demonstrations presented live during this break are related to any of the conferences held today. Zoom links to visit the posters and/or demonstrations are found on the home page of the Symposium Portal. We invite you to visit with the presenters in the designated Zoom or meet with other attendees in Discord.
IRIACV-317
ZOOM A — IRIACV POSTER: Accelerated HOG+SVM for object recognition, Lilong Shi, Chunji Wang, Kwang Oh Kim, and Yibing Wang, Samsung Semiconductor Inc. (United States)
IRIACV-318
ZOOM B — IRIACV POSTER: Concurrent two-factor identity verification using facial identity and facial actions, Zheng Sun1, Dah-Jye Lee1, Dong Zhang2, and Xiao Lin2; 1Brigham Young University (United States) and 2Sun Yat-Sen University (China)
VDA-319
ZOOM C — VDA POSTER: Data visualization and analysis of playing styles in tennis, Shiraj Pokharel and Ying Zhu, Georgia State University (United States)
AR Visualization and Visual Analytics
Moderator:
Yi-Jen Chiang, New York University (United States)
Session Chair:
David Kao, NASA Ames Research Center (United States)
13:15 – 14:15
Green Room
13:15VDA-304
Using augmented reality to enhance nursing education, Sadan Suneesh Menon, Thomas Wischgoll, Sharon Farra, and Cindra Holland, Wright State University (United States)
13:55VDA-306
JIST-first: Combining visual analytics and machine learning for reverse engineering in assembly quality control, Patrick Ruediger1, Felix Claus1, Bernd Hamann2, Hans Hagen1, and Heike Leitte1; 1Technische Universität Kaiserslautern (Germany) and 2University of California, Davis (United States)
14:15 – 18:00 Break in program to accommodate time zones.
KEYNOTE: Spatial Phenomenon with Geovisual Analytics
Moderator: David Kao, NASA Ames Research Center (United States)
Session Chair: Thomas Wischgoll, Wright State University (United States)
18:00 – 19:15
Green Room
18:00
Conference Introduction
18:15VDA-332
KEYNOTE: Exploring spatial phenomenon with geovisual analytics, Ross Maciejewski, Arizona State University (United States)
Keynote speaker Ross Maciejewski is an associate professor at Arizona State University in the School of Computing, Informatics & Decision Systems Engineering and director of the Center for Accelerating Operational Efficiency (CAOE) - a Department of Homeland Security Center of Excellence. His primary research interests are in the areas of geographical visualization and visual analytics focusing on homeland security, public health, dietary analysis, social media, criminal incident reports, and the food-energy-water nexus. Maciejewski is a recipient of an NSF CAREER Award (2014) and was named a Fulton Faculty Exemplar (2017) and Global Security Fellow at Arizona State. His work has been recognized through a variety of awards at the IEEE Visual Analytics Contest (2010, 2013, 2015), a best paper award in EuroVis 2017, and a CHI Honorable Mention Award in 2018.
CONFERENCE INTERACTIVE POSTERS, DEMONSTRATIONS, AND BREAK
19:15 – 19:45
see below for location
Posters and/or Demonstrations presented live during this break are related to any of the conferences held today. Zoom links to visit the posters and/or demonstrations are found on the home page of the Symposium Portal. We invite you to visit with the presenters in the designated Zoom or meet with other attendees in Discord.
IRIACV-320
ZOOM A — IRIACV POSTER: Stereo visual inertial navigation system with depth scale energy minimization, Jun-Su Park and Soon-Yong Park, Kyungpook National University (Republic of Korea)
IRIACV-321
ZOOM B — IRIACV POSTER: Using artificial intelligence to provide visual feedback for golf swing training, Jen-Jui Liu, Jacob Newman, and Dah-Jye Lee, Brigham Young University (United States)
VDA-329D
ZOOM C — VDA DEMO: "Testing the value of salience in statistical graphs", Mark Livingston1, Laura Matzen2, Derek Brock1, Andre Harrison1, and Jonathan Decker1; 1US Naval Research Laboratory and 2Sandia National Laboratories (United States)
In the VDA demo, augmenting the oral presentation of the same title, Mark Livingston will show the details of the user study with 54 questions. There is not time in a presentation to show all stimuli, so Livingston plans to use the demonstration to show all stimuli and people can discuss the designs.
Information & Volume Visualization
Moderator:
Thomas Wischgoll, Wright State University (United States)
Session Chair:
Yi-Jen Chiang, New York University (United States)
19:45 – 20:45
Green Room
19:45VDA-329
Testing the value of salience in statistical graphs, Mark Livingston1, Laura Matzen2, Derek Brock1, Andre Harrison3, and Jonathan Decker1; 1US Naval Research Laboratory, 2Sandia National Laboratories, and 3US Army Research Laboratory (United States)
20:05VDA-330
A visual analytics approach for anomaly detection from a novel traffic light data, Glenn Turner, Yunpeng Zhang, and Guoning Chen, University of Houston (United States)
20:25VDA-331
Volume data segmentation using visual selection, Shyh-Kuang Ueng and Hsin-Cheng Huang, National Taiwan Ocean University (Taiwan)