Style de citation APA (7e éd.)

Li, J., Guo, S., Tang, L., Cui, C., Kong, L., & Yang, X. (2025). VidFormer: A novel end-to-end framework fused by 3DCNN and Transformer for Video-based Remote Physiological Measurement.

Style de citation Chicago (17e éd.)

Li, Jiachen, Shisheng Guo, Longzhen Tang, Cuolong Cui, Lingjiang Kong, et Xiaobo Yang. VidFormer: A Novel End-to-end Framework Fused by 3DCNN and Transformer for Video-based Remote Physiological Measurement. 2025.

Style de citation MLA (9e éd.)

Li, Jiachen, et al. VidFormer: A Novel End-to-end Framework Fused by 3DCNN and Transformer for Video-based Remote Physiological Measurement. 2025.