helpResearch questionEmbedding Model Comparison and Hypothesis Testing
How can the technical barrier for non-technical users to create pose-aware dynamic effects be lowered?Direction: Visualization, Analytics, and Data Understanding
Embedding Model Comparison and Hypothesis Testing
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8 items
helpResearch questionEmbedding Model Comparison and Hypothesis Testing
Can combining visual programming and demonstration-based programming effectively improve the usability and reusability of dynamic effects?helpResearch questionEmbedding Model Comparison and Hypothesis Testing
Can a single pose embedding model (e.g., Pr-VIPE) achieve real-time pose matching under varying angles and motion?lightbulbPractical problemEmbedding Model Comparison and Hypothesis Testing
Non-technical users struggle to efficiently create reusable pose-aware dynamic effects.helpResearch questionEmbedding Model Comparison and Hypothesis Testing
Can combining global structure and local neighborhood analysis more efficiently compare differences among embedding models?helpResearch questionEmbedding Model Comparison and Hypothesis Testing
Can small multiples displaying local substructures help users quickly discover and validate similarities and differences among embedding models?helpResearch questionEmbedding Model Comparison and Hypothesis Testing
What roles and advantages does the new local neighborhood similarity (LNS) metric offer in embedding model comparison?lightbulbPractical problemEmbedding Model Comparison and Hypothesis Testing
Users cannot systematically and efficiently compare multiple embedding models, making it difficult to quickly generate and validate hypotheses.Related papers
UIST 2023
PoseVEC: Authoring Adaptive Pose-aware Effects Using Visual Programming and Demonstrations
Yongqi Zhang, Cuong Nguyen, Rubaiat Habib Kazi
IUI 2022
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples
Angie Boggust, Brandon Carter, Arvind Satyanarayan
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