3 papers
cs.CV2026
NG-GS: NeRF-Guided 3D Gaussian Splatting Segmentation
Yi He, Tao Wang, Yi Jin +3
Recent advances in 3D Gaussian Splatting (3DGS) have enabled highly efficient and photorealistic novel view synthesis. However, segmenting objects accurately in 3DGS remains challe…
cs.LG2024
GrassNet: State Space Model Meets Graph Neural Network
Gongpei Zhao, Tao Wang, Yi Jin +3
Designing spectral convolutional networks is a formidable task in graph learning. In traditional spectral graph neural networks (GNNs), polynomial-based methods are commonly used t…
cs.LG2024
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
Gongpei Zhao, Tao Wang, Congyan Lang +3
Graph neural networks are recognized for their strong performance across various applications, with the backpropagation algorithm playing a central role in the development of most…