Search Results for author:
Found 4 papers, 0 papers with code
Learning to Select Question-Relevant Relations for Visual Question Answering
Previous existing visual question answering (VQA) systems commonly use graph neural networks(GNNs) to extract visual relationships such as semantic relations or spatial relations.
Data-driven development of cycle prediction models for lithium metal batteries using multi modal mining
Recent advances in data-driven research have shown great potential in understanding the intricate relationships between materials and their performances.
MatGD: Materials Graph Digitizer
We have developed MatGD (Material Graph Digitizer), which is a tool for digitizing a data line from scientific graphs.
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models
Token-based masked generative models are gaining popularity for their fast inference time with parallel decoding.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
