3 papers
cs.CV2025
Semantic-guided Gaussian Splatting for High-Fidelity Underwater Scene Reconstruction
Zhuodong Jiang, Haoran Wang, Guoxi Huang +2
Accurate 3D reconstruction in degraded imaging conditions remains a key challenge in photogrammetry and neural rendering. In underwater environments, spatially varying visibility c…
cs.CE2025
EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification
Zhuodong Jiang, Pengju Zhang, Peter Martin
Graph neural networks have shown remarkable performance in forecasting stock movements, which arises from learning complex inter-dependencies between stocks and intra-dynamics of s…
cs.CV2025
RUSplatting: Robust 3D Gaussian Splatting for Sparse-View Underwater Scene Reconstruction
Zhuodong Jiang, Haoran Wang, Guoxi Huang +2
Reconstructing high-fidelity underwater scenes remains a challenging task due to light absorption, scattering, and limited visibility inherent in aquatic environments. This paper p…