Search Results for author:
Found 6 papers, 2 papers with code
Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph
Our framework is anchored by a well-established mainflow and an essential module, named ``Geometry and Texture Hypergraph Refiner (HGRefiner)''.
Multi-Scale U-Shape MLP for Hyperspectral Image Classification
Hyperspectral images have significant applications in various domains, since they register numerous semantic and spatial information in the spectral band with spatial variability of spectral signatures.
Scene Style Text Editing
Specifically, QuadNet consists of four parts, namely background inpainting, style encoder, content encoder, and fusion generator.
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains
To the best of our knowledge, GrainSpace is the first publicly released dataset for cereal grain inspection.
geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification
We use the method of graph convolutional neural network with attention mechanism to achieve this function.
Hypergraph Learning for Identification of COVID-19 with CT Imaging
The main challenge in early screening is how to model the confusing cases in the COVID-19 and CAP groups, with very similar clinical manifestations and imaging features.
