2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 2 cited
RBF-PINN: Non-Fourier Positional Embedding in Physics-Informed Neural Networks
Chengxi Zeng, Tilo Burghardt, Alberto M Gambaruto
While many recent Physics-Informed Neural Networks (PINNs) variants have had considerable success in solving Partial Differential Equations, the empirical benefits of feature mappi…
eess.IV2022★ 1 cited
Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance Segmentation
Chengxi Zeng, Xinyu Yang, Majid Mirmehdi +2
We propose Video-TransUNet, a deep architecture for instance segmentation in medical CT videos constructed by integrating temporal feature blending into the TransUNet deep learning…