Search Results for author:
Found 7 papers, 2 papers with code
TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation
These results demonstrate the efficacy of TextCenGen in creating more harmonious and integrated text-image compositions.
AACP: Aesthetics assessment of children's paintings based on self-supervised learning
To solve this problem, we construct an aesthetics assessment dataset of children's paintings and a model based on self-supervised learning.
SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization
The voluminous nature of geospatial temporal data from physical monitors and simulation models poses challenges to efficient data access, often resulting in cumbersome temporal selection experiences in web-based data portals.
InvVis: Large-Scale Data Embedding for Invertible Visualization
We propose a new method to efficiently express chart data in the form of images, enabling large-capacity data embedding.
CeRF: Convolutional Neural Radiance Fields for New View Synthesis with Derivatives of Ray Modeling
In recent years, novel view synthesis has gained popularity in generating high-fidelity images.
VisCode: Embedding Information in Visualization Images using Encoder-Decoder Network
We propose to use visualization images and QR codes data as training data and design a robust deep encoder-decoder network.
HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing
Recently deep learning has been used in Medical subject headings (MeSH) indexing to reduce the time and monetary cost by manual annotation, including DeepMeSH, TextCNN, etc.
