Generative AI (GenAI) has witnessed remarkable progress in recent years and demonstrated
impressive performance in various generation tasks in different domains such as computer …

Pictorial visualization seamlessly integrates data and semantic context into visual representation,
conveying complex information in an engaging and informative manner. Extensive …

Semantic typographic logos harmoniously blend typeface and imagery to represent semantic
concepts while maintaining legibility. Conventional methods using spatial composition and …

… (Shishi Xiao and Qing Shi contributed equally to this work.) (Corresponding author: Wei
Zeng.) Shishi Xiao … Shishi Xiao is currently pursuing the master’s degree with CMA Thrust, The …

Retrieving charts from a large corpus is a fundamental task that can benefit numerous
applications such as visualization recommendations. The retrieved results are expected to …

Multi-modal embeddings form the foundation for vision-language models, such as CLIP
embeddings, the most widely used text-image embeddings. However, these embeddings are …

Image search is an essential and user-friendly method to explore vast galleries of digital
images. However, existing image search methods heavily rely on proximity measurements like …

With advancements in video generative AI models (eg, SORA), creators are increasingly using
these techniques to enhance video previsualization. However, they face challenges with …

Neural radiance fields (NeRF) have demonstrated a promising research direction for novel
view synthesis. However, the existing approaches either require per‐scene optimization that …

Molecular recognition at the biointerface plays a critical role in sensing molecular interactions
(eg, DNA hybridization) and extracellular changes, which can directly affect the detection …