FluidViews provides a web-based framework with drag-and-drop token filters and highlight tokens for fluid interaction in heterogeneous multi-view visual analytics.
Quijano-Chavez, N
2 Pith papers cite this work. Polarity classification is still indexing.
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Motion-based user identification works reliably inside one XR application but generalizes poorly across different applications.
citing papers explorer
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FluidViews: Adaptive Drag-and-Drop Token Filters for Heterogeneous Multi-View Visual Analytics
FluidViews provides a web-based framework with drag-and-drop token filters and highlight tokens for fluid interaction in heterogeneous multi-view visual analytics.
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Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning
Motion-based user identification works reliably inside one XR application but generalizes poorly across different applications.