4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.CV2024
Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer
Mingxuan Liu, Jiankai Tang, Yongli Chen +7
Artificial neural networks (ANNs) can help camera-based remote photoplethysmography (rPPG) in measuring cardiac activity and physiological signals from facial videos, such as pulse…
cs.NE2023★ 4 cited
Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks
Mingxuan Liu, Jie Gan, Rui Wen +3
Spiking neural networks (SNNs) have tremendous potential for energy-efficient neuromorphic chips due to their binary and event-driven architecture. SNNs have been primarily used in…
cs.CV2023
SAM-Deblur: Let Segment Anything Boost Image Deblurring
Siwei Li, Mingxuan Liu, Yating Zhang +4
Image deblurring is a critical task in the field of image restoration, aiming to eliminate blurring artifacts. However, the challenge of addressing non-uniform blurring leads to an…