RePSS 2024
Vision-based Remote Physiological Signal Sensing Challenge & Workshop 2024

Table of Contents

There were 10 papers submitted for peer-review to this workshop. 10 papers were included in this volume (9 papers from the paper submission and one overview paper).

Papers

• The 3rd Vision-based Remote Physiological Signal Sensing (RePSS) Challenge & Workshop 1-14
  Zhaodong Sun, Xiaobai Li, Hu Han, Jiyang Tang, Chenhang Ying, Jieyi Ge, Antitza Dantcheva, Shiguang Shan, Guoying Zhao
• PCA Lab's Solution for RePSS 2024 by Vision-based Self-supervised Remote Heart Rate Sensing 15-26
  Hang Shao, Lei Luo, Jianjun Qian, Wei Zhuo, Chuanfei Hu, Jian Yang
• Joint Spatial-Temporal Modeling and Contrastive Learning for Self-supervised Heart Rate Measurement 27-39
  Wei Qian, Qi Li, Kun Li, Xinke Wang, Xiao Sun, Meng Wang, Dan Guo
• Video-based Remote Blood Pressure Measurement Using Convolutional Networks and Random Forest 40-50
  Wei Zhuo, Jianjun Qian, Hang Shao, Lei Luo, Jian Yang
• A Two-stage Remote Blood Pressure Estimation Method Based on Selective State Space Model 51-60
  Zizheng Guo, Bochao Zou, Huimin Ma
• Ensemble Deep Learning for Blood Pressure Estimation Using Facial Videos 61-71
  Wei Liu, Bingjie Wu, Menghan Zhou, Xingjian Zheng, Xingyao Wang, Yiping Xie, Chaoqi Luo, Liangli Zhen
• An End-to-end Contrastive Deep-learning Framework for Remote Physiological Signal Measurement 72-81
  Bingjie Wu, Menghan Zhou, Wei Liu, Xingyao Wang, Xingjian Zheng, Yiping Xie, Chaoqi Luo, Liangli Zhen
• UP-Phys: Exploring the Effect of Prior Knowledge in Unsupervised Remote Photoplethysmography 82-90
  Yan Jiang, Mingyue Cao, Hao Yu, Xingyu Liu, Xu Cheng
• DINO-rPPG: Remote Photoplethysmography Measurement using Facial Representation from DINO Guidance 91-101
  Jiho Choi, Sang Jun Lee
• A Transformer-based Method for Non-contact Heart Rate Estimation from Facial Videos Recorded in Realistic Environment 102-109
  Yi Hu, Xuenan Liu, Xinlong Rao, Bojing Li