We introduce a novel paradigm that simplifies the visualization and anal...
Tropical cyclones (TCs) are among the most destructive weather systems.
...
We present a neural network approach to compute stream functions, which ...
Scene representation networks (SRNs) have been recently proposed for
com...
Existing error-bounded lossy compression techniques control the pointwis...
Critical point tracking is a core topic in scientific visualization for
...
We propose VDL-Surrogate, a view-dependent neural-network-latent-based
s...
We propose GNN-Surrogate, a graph neural network-based surrogate model t...
We explore an online learning reinforcement learning (RL) paradigm for
o...
This paper demonstrates that parallel vector curves are piecewise cubic
...
We present the Feature Tracking Kit (FTK), a framework that simplifies,
...
Feature tracking and the visualizations of the resulting trajectories ma...
We propose InSituNet, a deep learning based surrogate model to support
p...
Facial landmark localization is a very crucial step in numerous face rel...
Because of vast volume of data being produced by today's scientific
simu...