1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
GS^2: Graph-based Spatial Distribution Optimization for Compact 3D Gaussian Splatting
Xianben Yang, Tao Wang, Yuxuan Li +2
3D Gaussian Splatting (3DGS) has demonstrated breakthrough performance in novel view synthesis and real-time rendering. Nevertheless, its practicality is constrained by the high me…
CoLC: Communication-Efficient Collaborative Perception with LiDAR Completion
Yushan Han, Hui Zhang, Qiming Xia +2
Collaborative perception empowers autonomous agents to share complementary information and overcome perception limitations. While early fusion offers more perceptual complementarit…
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…
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…