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20232026
most citedReviving Static Charts into Live Charts

19 citations · 27 across the 20 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023★ 1 cited

Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models

Yubin Wang, Xinyang Jiang, De Cheng +2

Prompt learning has become a prevalent strategy for adapting vision-language foundation models to downstream tasks. As large language models (LLMs) have emerged, recent studies hav…

cs.CV2023

DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation

Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu +6

The popularization of Text-to-Image (T2I) diffusion models enables the generation of high-quality images from text descriptions. However, generating diverse customized images with…

cs.CV2023

Unified Medical Image Pre-training in Language-Guided Common Semantic Space

Xiaoxuan He, Yifan Yang, Xinyang Jiang +6

Vision-Language Pre-training (VLP) has shown the merits of analysing medical images, by leveraging the semantic congruence between medical images and their corresponding reports. I…

eess.IV2023

Online Video Quality Enhancement with Spatial-Temporal Look-up Tables

Zefan Qu, Xinyang Jiang, Yifan Yang +2

Low latency rates are crucial for online video-based applications, such as video conferencing and cloud gaming, which make improving video quality in online scenarios increasingly…

cs.HC2023★ 19 cited

Reviving Static Charts into Live Charts

Lu Ying, Yun Wang, Haotian Li +5

Data charts are prevalent across various fields due to their efficacy in conveying complex data relationships. However, static charts may sometimes struggle to engage readers and e…