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
Video Processing
Moderator:
Jarmo Koponen, University of Eastern Finland, Ita-Suomen yliopisto, Kuopio, Pohjois-Savo, FI, Academic Finland (Finland)
Session Chair:
Karen Egiazarian, Tampere University (Finland)
10:00 – 11:15
Blue Room
10:00
Conference Introduction
10:15IPAS-258
Virtual adversarial training in feature space to improve unsupervised video domain adaptation, Artjoms Gorpincenko, Geoff French, and Michal Mackiewicz, University of East Anglia (United Kingdom)
10:35IPAS-259
HEVC rate distortion optimization with source modeling, Ahmed Hamza1, Mohamed Abdelazim1, Abdelrahman Abdelazim2, and Djamel Ait-Boudaoud1; 1University of Portsmouth (United States) and 2Blackpool and the Fylde College (United Kingdom)
10:55IPAS-260
A polar coordinate perspective on motion search in video coding, Jingning Han, Paul Wilkins, and Yaowu Xu, Google Inc. (United States)
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.
Image Analysis
Moderator:
Artjoms Gorpincenko, University of East Anglia (United Kingdom)
Session Chair:
Atanas Gotchev, Tampere University (Finland)
11:45 – 12:45
Blue Room
11:45IPAS-234
Real-time vehicle orientation classification and viewpoint-aware vehicle re-identification, Tamas Oliver Kocsis, Tunc Alkanat, Egor Bondarev, and Peter de With, Eindhoven University of Technology (the Netherlands)
12:05IPAS-235
Text recognition of cardboard pharmaceutical packages by machine vision, Jarmo Koponen, Keijo Haataja, and Pekka Toivanen, University of Eastern Finland (Finland)
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.
IPAS-226
ZOOM A — IPAS POSTER: Projection methods for finding intersection of two convex sets and their use in signal processing problems, Zuzana Bilkova1,2; 1Institute of Information Theory and Automation and 2Charles University in Prague (Czechia)
IQSP-224
ZOOM B — IQSP POSTER: Neural network-based assessment of the impact induced in video quality assessment by the semantic labels, Celestin Hernandez, Zacharie De La Lande Dolce, Rania Bensaied, and Mihai Mitrea, Institut Mines-Telecom (France)
IQSP-225
ZOOM C — IQSP POSTER: Saliency-based deep blind image quality assessment, Kamal Lamichhane1, Marco Carli1, and Federica Battisti2; 1Università degli Studi Roma TRE and 2University of Padova (Italy)
Image Denoising
Moderator:
Jingning Han, Google Inc. (United States)
Session Chair:
Karen Egiazarian, Tampere University (Finland)
13:15 – 14:15
Blue Room
13:15IPAS-237
Decision-making on image denoising expedience, Andrii Rubel1, Oleksii Rubel1, Vladimir Lukin1, and Karen Egiazarian2; 1National Aerospace University (Ukraine) and 2Tampere University (Finland)
13:35IPAS-238
Benchmark of similar blocks search under noisy conditions, Oleksii Rubel1,2, Rostyslav Tsekhmystro1, Vladimir Lukin1, and Karen Egiazarian2; 1National Aerospace University (Ukraine) and 2Tampere University (Finland)
13:55IPAS-239
Graph adversarial learning for noisy skeleton-based action recognition, Henglin Shi, Wei Peng, Xin Liu, and Guoying Zhao, University of Oulu (Finland)
14:15 – 18:00 Break in program to accommodate time zones.
Machine Learning for Image Processing
Moderator:
Ikuro Sato, Denso IT Laboratory, Inc. (Japan)
Session Chair:
Sos Agaian, CSI City University of New York and The Graduate Center (CUNY) (United States)
18:00 – 19:15
Blue Room
18:00
Conference Introduction
18:15IPAS-246
Deep learning features for discriminating between benign and malignant microcalcification lesions, Juan Wang1, Liang Lei2, and Yongyi Yang1; 1Illinois Institute of Technology (United States) and 2Chongqing University of Science and Technology (China)
18:35IPAS-247
Breast cancer tissue sub-region classification from second harmonic generation imagery via machine learning, Wencheng Wu1, Beilei Xu1, Edgar Bernal1, Robert Hill2, Danielle Desa1, and Edward Brown1; 1University of Rochester and 2Harmonigenic Inc. (United States)
18:55IPAS-248
Computer vision-based classification of schizophrenia patients from retinal imagery, Diana Joseph, Adriann Lai, Steven Silverstein, Rajeev Ramchandran, and Edgar Bernal, University of Rochester (United States)
Image Processing
Moderator:
Diana Joseph, University of Rochester School of Medicine and Dentistry (United States)
Session Chair:
Sos Agaian, CSI City University of New York and The Graduate Center (CUNY) (United States)
19:45 – 20:45
Blue Room
19:45IPAS-240
Does end-to-end trained deep model always perform better than non-end-to-end counterpart?, Ikuro Sato1,2, Guoqing Liu1, Kohta Ishikawa1, Teppei Suzuki1, and Masayuki Tanaka2; 1Denso IT Laboratory, Inc. and 2Tokyo Institute of Technology (Japan)
20:05IPAS-241
FPGA-based fast algorithm of correcting saturated pixel in image, Jun Fu, Institute of Image Processing, School of Electronics & Information Engineering (China)
20:25
OPEN
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.