Vega-Video integrates video into Vega via synchronization, annotation, and transformation classes, using split signals and VOD repurposing for responsive mixed-modality visualizations.
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24 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 24representative citing papers
Proteus uses a multi-level design space and LLM multi-agents to automatically convert desktop visualizations into equivalent mobile versions that preserve readability.
A survey of 55 agentic VA systems proposes a co-evolutionary framework defining four agent roles (PLANNER, CREATOR, REVIEWER, CONTEXT MANAGER) mapped to visual analytics pipeline stages along with design guidelines.
Literate execution treats documentation and visualizations as dynamic, computable parts of program execution via provenance tracking, inverting traditional literate programming to make programs more explorable.
Raiven mediates LLM visualization authoring via a formally defined DSL that unifies scientific and information visualization, producing deterministic, verifiable code from metadata-only inputs.
Presents a new retrieval system that enriches user queries with an intent taxonomy to improve matching of natural language descriptions to infographic designs and support authoring.
GS-Surrogate creates a canonical Gaussian field that is sequentially deformed by simulation parameters to enable real-time, controllable 3D exploration of ensemble data while separating simulation variations from visualization adjustments.
SwEYEpinch uses gaze swiping plus a held pinch gesture to reach 64.7 WPM in XR text entry after practice, outperforming sequential key selection and prior gaze-swipe methods in user studies.
SASAV introduces the first fully autonomous multi-agent system for scientific data analysis and visualization that operates without external prompting or human-in-the-loop feedback.
AI peer review systems are vulnerable to prompt injections, prestige biases, assertion strength effects, and contextual poisoning, as demonstrated by a new attack taxonomy and causal experiments on real conference submissions.
GFlowState introduces interactive visualizations such as trajectory node-link diagrams and transition heatmaps to make GFlowNet training dynamics observable for debugging and quality assessment.
EdgeFormer converts point cloud edge detection into local-patch point classification with a transformer and reports competitive results against six baselines.
A web system uses a Curve Segment Neighborhood Graph to support interactive community detection, force-directed layouts, and adjacency matrix views for exploring hundreds of thousands of streamlines in real time.
NeuVolEx extracts robust spatial features from INR training via a structural encoder and multi-task scheme to enable accurate ROI classification with limited supervision and unsupervised viewpoint clustering in volume exploration.
Glide-in-Place uses per-foot pressure sensing for continuous differential-drive VR locomotion, outperforming seated walking-in-place on speed and fatigue while matching joystick performance on simulator sickness in a 16-person study.
LandSAR integrates real-time landslide simulations, visualizations, and 3D-printed tangible terrain models to improve situational awareness and engagement for analysts.
Purrsuasion is a negotiation game that surfaces satisficing and intent-attribution difficulties when students practice ethical data disclosure under real constraints.
A spectral framework for nonlinear DR uses spectral bases plus cross-entropy optimization to create multi-scale embeddings that preserve both global manifold geometry and local neighborhoods while supporting graph-frequency analysis.
Qualitative analysis of Reddit discussions reveals four tensions users face with AI-generated fitness feedback, showing resistance to AI that limits personal interpretations of lived experiences.
The UK Co-Benefits Atlas design process yields a conceptual framework of five driving forces—data, people, stories, context, and the atlas itself—that shape visualization atlas creation at different stages.
Autark is a serverless toolkit that enables rapid prototyping of urban visual analytics systems via domain-aware abstractions and supports more reliable LLM-assisted coding.
A clustering-aware correction algorithm using spatial partitioning and projected gradient descent preserves single-linkage clusters in lossy-compressed particle data while keeping competitive compression ratios.
Tailored visualizations for OTC drug instructions improve response time and usability over text-only formats for both lay users and professionals, supported by a new taxonomy and generalizable design workflow.
Researchers built a Terracotta Warriors dataset and used AI to analyze and visualize the group attributes collectively.
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Show Me the Infographic I Imagine: Intent-Aware Infographic Retrieval for Authoring Support
Presents a new retrieval system that enriches user queries with an intent taxonomy to improve matching of natural language descriptions to infographic designs and support authoring.