IEEE International Conference on Automatic Face and Gesture Recognition (IEEE FG) 2019 was held in Lille, France on May 14th-18th, 2019. One VIPL research paper, “Robust Remote Heart Rate Estimation from Face Utilizing Spatial-temporal Attention” (Authors: Xuesong Niu, Xingyuan Zhao, Hu Han, Abhijit Das, Antitza Dantcheva, Shiguang Shan and Xilin Chen), was awarded as one of the best poster presentation papers. This is the first time that the VIPL group has won the IEEE FG Best Paper/Poster Paper Award.
This VIPL research paper introduces a novel way for rPPG-based remote heart rate (HR) estimation based on attention mechanism. Besides, the authors also proposed a novel data augmentation method to reduce the influence HR distribution bias. Experimental results on multiple databases demonstrate the competitive performance of the proposed methods against state-of-the-art HR estimation methods.
Figure 1：The pipeline of the proposed HR estimation method
Figure 2：Award Certificate
In addition, another VIPL research paper“FCSR-GAN: End-to-end Learning for Joint Face Completion and Super-resolution”(Authors: Jiancheng Cai, Hu Han, Shiguang Shan, and Xilin Chen) was selected as one of the IEEE FG Best Reviewed Papers.
Figure 3：The pipeline for FCSR-GAN
[1] Xuesong Niu, Xingyuan Zhao, Hu Han, Abhijit Das, Antitza Dantcheva, Shiguang Shan, Xilin Chen,"Robust Remote Heart Rate Estimation from Face Utilizing Spatial-temporal Attention," 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019), pp. 1-8, Lille, France, May 14-18, 2019.(Best Poster Presentation Award)
[2] Jiancheng Cai, Hu Han, Shiguang Shan, and Xilin Chen, "FCSR-GAN: End-to-end Learning for Joint Face Completion and Super-resolution," 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019), pp. 1-8, Lille, France, May 14-18, 2019. (Oral, Best Reviewed Papers)
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