Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer

1 code implementation • 7 Feb 2024 • Mingxuan Liu, Jiankai Tang, Yongli Chen, Haoxiang Li, Jiahao Qi, Siwei Li, Kegang Wang, Jie Gan, Yuntao Wang, Hong Chen

Additionally, the power consumption of the transformer block is reduced by a factor of 12. 2, while maintaining decent performance as PhysFormer and other ANN-based models.

Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks

1 code implementation • 20 Aug 2023 • Mingxuan Liu, Jie Gan, Rui Wen, Tao Li, Yongli Chen, Hong Chen

To fill the gap, we propose a Spiking-Diffusion model, which is based on the vector quantized discrete diffusion model.

Decoder Image Generation