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.
Tuesday 26 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.
14:15 – 18:00 Break in program to accommodate time zones.
Deep Learning Detection
Moderator:
Zhigang Fan, Apple Inc. (United States)
Session Chair:
Qian Lin, HP Labs, HP Inc. (United States)
18:00 – 19:15
Green Room
18:00
Conference Introduction
18:15IMAWM-231
Efficient, domain enriched deep learning for mobile image enhancement, Vishal Monga, Pennsylvania State University (United States)
18:35IMAWM-232
Turkey behavior identification system with a GUI using deep learning and video analytics, Shengtai Ju, Sneha Mahapatra, Marisa Erasmus, Amy Reibman, and Fengqing Zhu, Purdue University (United States)
18:55IMAWM-233
Real-time detection of early drowsiness using convolution neural networks, Chinh Tran and Nader Namazi, The Catholic University of America (United States)
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.
IMAWM-233D
ZOOM A — IMAWM DEMO: "Real-time detection of early drowsiness using convolution neural networks", Chinh Tran and Nader Namazi, The Catholic University of America (United States)
In the IMAWM demo, following up the oral presentation of the same title, Chinh Tran will demonstrate a system for detecting levels of drowsiness in a real-time video stream. A camera is set up for observing the symptoms of drowsiness such as yawning, eye blinking, etc. The system then counts the number of yawning and eye blinking, according to this count the system will decide the level of drowsiness.
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.
Deep Learning: Health Care Systems
Moderator:
Zhigang Fan, Apple Inc. (United States)
Session Chair:
Jochen Meyer, OFFIS Institute for Information Technology (Germany)
11:40 – 13:00
Blue Room
11:40IMAWM-267
Remote estimation of respiration rate by optical flow using convolutional neural networks, Tianqi Guo1, Qian Lin2, and Jan Allebach1; 1Purdue University and 2HP Labs, HP Inc. (United States)
12:00IMAWM-268
Robust real-time heart rate measurement from face videos, Yang Cheng1, Qian Lin2, and Jan Allebach1; 1Purdue University and 2HP Labs, HP Inc. (United States)
12:20IMAWM-269
Bed exit detection network (BED net) for patients bed-exit monitoring based on color camera images, Fan Bu1,2, Qian Lin2, and Jan Allebach1; 1Purdue University and 2HP Labs, HP Inc. (United States)
12:40IMAWM-270
Long term self-tracking of personal health, Jochen Meyer, OFFIS - Institute for IT (Germany)
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.
Multimedia Analysis I
Moderator:
Qian Lin, HP Labs, HP Inc. (United States)
Session Chair:
Zhigang Fan, Apple Inc. (United States)
13:30 – 14:30
Blue Room
13:30IMAWM-279
Visual document tracking and blockchain technologies in mobile world, Mohamed Allouche, Marina Ljubojevic, and Mihai Mitrea, Institut Mines-Telecom (France)
13:50IMAWM-280
Interactive 3D modeling with virtual reality, Xunyu Pan and Andrew Haberkorn, Frostburg State University (United States)
14:10IMAWM-281
Industrial defect detection by comparison with reference 3D CAD model, Deangeli Neves1, Guilherme Megeto1, Augusto Valente1, and Qian Lin2; 1Eldorado Research Institute (Brazil) and 2HP Labs, HP Inc. (United States)
14:30 – 18:00 Break in program to accommodate time zones.
Multimedia Analysis II
Moderator:
Raja Bala, Palo Alto Research Center Incorporated (United States)
Session Chair:
Jan Allebach, Purdue University (United States)
18:00 – 19:15
Blue Room
18:00
Conference Introduction
18:15IMAWM-282
Computer vision on the edge of the open sea, Matthew Shreve, Eric Cocker, Julie Bert, Vijay Kumar, and Raja Bala, Palo Alto Research Center Incorporated (United States)
18:35IMAWM-283
Practical automatic thumbnail generation for short videos, Bin Shen, Nikil Pancha, Andrew Zhai, and Charles Rosenberg, Pinterest Labs (United States)
18:55IMAWM-284
Computer vision for mobile autonomous robots in multi-scale dynamic environments, Bob Price1, Kent Evans1, Gaurang Gavai1, Hiroshi Shinji2, Eugene Bart1, and Raja Bala1; 1PARC (United States) and 2Kabushiki Kaisha Meidensha (Japan)
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.
Multimedia for Diet Applications
Moderator:
Jan Allebach, Purdue University (United States)
Session Chair:
Fengqing Zhu, Purdue University (United States)
19:45 – 20:45
Blue Room
19:45IMAWM-285
An end-to-end food image analysis system, Jiangpeng He1, Runyu Mao1, Zeman Shao1, Janine Wright2, Deborah Kerr2, Carol Boushey3, and Fengqing Zhu1; 1Purdue University (United States), 2Curtin University (Australia), and 3University of Hawaii Cancer Center (United States)
20:05IMAWM-286
Improving food detection for images from a wearable egocentric camera, Yue Han1, Sri Kalyan Yarlagadda1, Tonmoy Ghosh2, Fengqing Zhu1, Edward Sazonov2, and Edward Delp1; 1Purdue University and 2The University of Alabama (United States)
20:25IMAWM-287
Informing food image identification with the most frequently consumed and the largest energy contributing food subcategories among U.S. insulin takers in NHANES 2009–2016, Luotao Lin, Fengqing Zhu, and Heather Eicher-Miller, Purdue University (United States)