The 5th RePSS - Multimodal Fusion Learning for Remote Physiological Signal Sensing

Min Wu

The University of Maryland

Title: Reflecting on a Research Journey Into and Beyond rPPG

Abstract:

Bio:

Min Wu is Distinguished University Professor and Christine Yurie Kim Eminent Professor in Information Technology at the University of Maryland, College Park (UMD), and Associate Dean of Engineering for Graduate Affairs. She received a B.E. degree in electrical engineering -- automation and a B.A. degree in economics from Tsinghua University, Beijing, China, in 1996 with the highest honors, and her Ph.D. degree in electrical engineering from Princeton University in 2001. At UMD, she leads the Media, Analytics, and Security Team (MAST), with main research interests in information security and forensics, multimedia signal processing, and applications of data science and machine learning for health and IoT. Dr. Wu was elected as an IEEE Fellow, AAAS Fellow, and Fellow of the National Academy of Inventors (NAI), and receives an IEEE Sensor Council Technical Achievement Award. She chaired the IEEE Technical Committee on Information Forensics and Security, and served as Editor-in-Chief of the IEEE Signal Processing Magazine. She was elected by members to serve as President of the IEEE Signal Processing Society. She is a Fellow and Board Member of the Asian American Scholar Forum (AASF).

Call for papers

The workshop calls for high-quality and original research works. The topic includes but is not limited to:

1. New methodologies developed for remote measurement of all kinds of physiological responses of human bodies, e.g., heart rate, heart rate variability, respiration, blood oxygen saturation, blood pressure, and others.
2. Hardware/apparatuses/imaging system developed for the purpose of remote physiological measurement from face and body.
3. Physiological signal measurement from non-optical sensors, e.g., radars, sound.
4. New data collected or generated for the purpose of remote physiological measurement.
5. Solutions for special challenges involved with the remote physiological signal sensing, e.g., low-quality video, poor illumination conditions, motions, data with noisy labels or no label, etc.
6. Applications of remote physiological sensing, e.g., for medical assessment in hospitals, for health surveillance at home or in other environments, for emotion assessment in various scenarios like for education, job interview, etc., for security and forensics like liveness detection, biometrics, and video editing/synthesis.

Paper Submission Instructions

• Papers must comply with CEURART paper style and paper length should be less than 7 pages.
• The CEURART template can be found on this Overleaf link.
• The review process is Single-blind.
• There are two tracks (challenge track and workshop track) for the paper submission.
  • For the challenge track, The top-3 teams are encouraged to submit papers to this track (Acceptance depends on the quality of the paper, so it is not guaranteed.). Other teams are also welcome to submit papers. The review criterion is based on both the team ranking and the paper quality.
  • For the workshop track, all work in the topic scope mentioned above is encouraged to submit. The review criterion is based on the paper quality and the relevance to RePSS workshop.
• Accepted papers will be included in a volume of the CEUR Workshop Proceedings (EI-index, JUFO1).
• The submission link is as follow: https://chairingtool.com/conferences/repss26/main-track?role=author
• At least one of the authors of accepted papers should register for the IJCAI 2025 workshop and be present onsite at the workshop.

Important Date

Paper submission is open.

• July 2 (23:59, AoE): Paper submission deadline
• July 7: Notification to authors
• July 14: Camera-ready deadline

Note: Each paper must be presented on-site by an author/co-author at the conference.