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TEMUCO2023 international workshop
April 26th, 2023 
Daniela Lopez de Luise 
Free Live Webinar: IEEE Authorship and Open Access Symposium
April 26th, 2023 Daniela Lopez de Luise
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RSS’23 Workshop: Towards Safe Autonomy
April 26th, 2023 Daniela Lopez de Luise RSS'23 Workshop
Towards Safe Autonomy: New Challenges and Trends in Robot Perception
Robotics: Science and Systems – July 10 to July 14, 2023, Daegu, Republic of Korea
Website: https://sites.google.com/view/rss2023-safe-autonomy
Paper submission link: https://cmt3.research.microsoft.com/RSSSafeAutonomy2023
Competition submission link: https://cmt3.research.microsoft.com/RSSSafeAutonomyCompetition2023
Submission Deadline: May 20, 2023
Competition Submission Deadline: May 20, 2023
Safe autonomy mailing list: https://www.safe-autonomy.org/
OVERVIEW
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IEEE ICCI*CC’23 Invitation at Stanford University during Aug. 19-21, 2023
April 26th, 2023 Daniela Lopez de Luise Dear Colleague,
The IEEE International Conference Series of Cognitive Informatics and Cognitive Computing (ICCI*CC) series is a flagship conference of its field sponsored by IEEE CS, CIS, and SMC. (https://www.easychair.org/cfp/IEEE_ICCI-CC_2023; https://www.i2cicc.org/ieee-iccicc23). Following the past 21 successful conferences (ICCI’02 through ICCI*CC’22), the 22nd IEEE Int’l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC’23) focuses on themes of Intelligence Science, Cognitive Computers, Intelligent Computing, Autonomous AI, Cognitive Robots, Brain-inspired Systems, Intelligent Computing, and Autonomous Systems. ICCICC’23 welcomes researchers, practitioners, and graduate students to join the international initiative on cognitive informatics and cognitive computing toward the investigation of cognitive mechanisms and intelligent processes of human information processing, and the development of the next generation of cognitive computers and autonomous systems.
Your research paper or special workshop/session proposal for IEEE ICCI*CC'23 are welcome. The paper submission site is at: https://easychair.org/conferences/?conf=ieeeiccicc2023. Proceedings of ICCI*CC'23 will be published by IEEE CS Press (indexed by SCI and EI).
Full papers are expected to be around 5-8 pages in IEEE double column format. Short papers (4-5 pages) that report industrial experience, case studies, work in progress, or graduate students’ research are welcome. Selected papers will be recommended to IEEE SMC Letters, Frontiers in Computer Science, and etc. We look forward to meeting you in IEEE ICCI*CC’23 at Stanford Univ., USA, during Aug. 19-21, 2023.
Sincerely,
IEEE ICCI*CC'23 Co-Chairs
Free Webinar on “3D Facial Mask Presentation Attack Detection” by Prof. Pong Chi Yuen
April 26th, 2023 Daniela Lopez de Luise The IEEE Biometrics Council invites participants to the upcoming (free)
webinar by Prof. Pong Chi Yuen on “Remote Photoplethysmography Based 3D
Facial Mask Presentation Attack Detection”. Detail on the webinar are
given below:
Title: Remote Photoplethysmography Based 3D Facial Mask Presentation
Attack Detection
Speaker: Prof. Pong Chi Yuen, Hong Kong Baptist University, Hong Kong
When: May 24, at 10am Hong Kong time (4 am CEST, i.e., May 23 at 9 pm
CDT, 10pm EDT)
Where: Online (Zoom)
Registration: (free, but required):
https://us06web.zoom.us/webinar/register/WN_CMxMWw18QtKgo9zqJFujHQ
For details on the webinar see:
https://ieee-biometrics.org/index.php/activities/webinars
*****
Talk Summary: While face recognition technology has been extensive
deployed in many practical applications, research problems related to
face presentation attack detection (PAD) are still unsolved. The popular
face presentation attacks include images, videos and 3D masks. Among
these, 3D mask presentation attacks are the most challenging because
super realistic high-quality 3D facial masks can be created at a
reasonable cost. One of the promising approaches in addressing 3D mask
presentation attacks is remote photoplethysmography (rPPG). In this
talk, I will share my research journey on face presentation attack
detection from 2016 to present. The talk will first discuss the basic
principle of using rPPG technology for face PAD, and discuss our
proposed rPPG-based face PAD methods. The reliability of rPPG based face
PAD methods relies on the quality of the estimated rPPG signals. I will
also discuss the robustness of the rPPG estimation algorithms. Some
comments and suggestions on future research will also be given at the
end of the talk.
About the speaker: Prof. Pong Chi Yuen is a Chair Professor in Computer
Science and Associate Dean at Hong Kong Baptist University. He received
his Ph.D. degree in Electrical and Electronic Engineering in 1993 from
The University of Hong Kong. Dr. Yuen has been involved in various
conferences and served as the director of Croucher ASI on biometric
authentication and biometric security and privacy. He has received the
Outstanding Editorial Board Service Award in 2018 and served as Vice
President of the IEEE Biometrics Council. Dr. Yuen has received the
first and second prize Natural Science Awards from Guangdong Province
and the Ministry of Education, China, respectively. He is a Fellow of
IAPR and currently serves as Senior Area Editor of IEEE Transactions on
Information Forensics and Security and Associate Editor of IEEE
Transactions on Biometrics, Behaviour, and Identity Science.