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Found 9 papers, 3 papers with code
MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention
MQENet treats the mesh evaluation task as a graph classification task for classifying the quality of the input structured mesh.
Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection Segmentation System
The coronavirus disease 2019 (COVID-19) continues to have a negative impact on healthcare systems around the world, though the vaccines have been developed and national vaccination coverage rate is steadily increasing.
BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images
The spread of COVID-19 has brought a huge disaster to the world, and the automatic segmentation of infection regions can help doctors to make diagnosis quickly and reduce workload.
Efficient Light Field Reconstruction via Spatio-Angular Dense Network
As an image sensing instrument, light field images can supply extra angular information compared with monocular images and have facilitated a wide range of measurement applications.
A review on vision-based analysis for automatic dietary assessment
We also provide the latest ideas for future development of VBDA, e. g., fine-grained food analysis and accurate volume estimation.
Toroidal extended affine Lie algebras and vertex algebras
In this paper, we study nullity-2 toroidal extended affine Lie algebras in the context of vertex algebras and their $\phi$-coordinated modules.
Quantum Algebra
Deforming vertex algebras by vertex bialgebras
This is a continuation of a previous study initiated by one of us on nonlocal vertex bialgebras and smash product nonlocal vertex algebras.
Quantum Algebra
Shape retrieval of non-rigid 3d human models
In addition, further participants have also taken part, and we provide extra analysis of the retrieval results.
Optimizing seed inputs in fuzzing with machine learning
Our experiments on a set of widely used PDF viewers demonstrate that the improved seed inputs produced by our framework could significantly increase the code coverage of the target program and the likelihood of detecting program crashes.
Cryptography and Security
