Zobrazeno 1 - 10
of 3 419
pro vyhledávání: '"Liu, Can"'
Autor:
Tang, Xuxin, Krokos, Eric, Liu, Can, Davidson, Kylie, Whitley, Kirsten, Ramakrishnan, Naren, North, Chris
Large Language Models (LLMs) have been widely applied in summarization due to their speedy and high-quality text generation. Summarization for sensemaking involves information compression and insight extraction. Human guidance in sensemaking tasks ca
Externí odkaz:
http://arxiv.org/abs/2409.17289
Autor:
Jiang, Jianan, Wu, Di, Deng, Hanhui, Long, Yidan, Tang, Wenyi, Li, Xiang, Liu, Can, Jin, Zhanpeng, Zhang, Wenlei, Qi, Tangquan
The process of fashion design usually involves sketching, refining, and coloring, with designers drawing inspiration from various images to fuel their creative endeavors. However, conventional image search methods often yield irrelevant results, impe
Externí odkaz:
http://arxiv.org/abs/2408.00855
Autor:
Liu, Can, Jiang, Ruike, Tan, Shaocong, Yu, Jiacheng, Yang, Chaofan, Shao, Hanning, Yuan, Xiaoru
Datasets of visualization play a crucial role in automating data-driven visualization pipelines, serving as the foundation for supervised model training and algorithm benchmarking. In this paper, we survey the literature on visualization datasets and
Externí odkaz:
http://arxiv.org/abs/2407.16351
We propose AutoLegend to generate interactive visualization legends using online learning with user feedback. AutoLegend accurately extracts symbols and channels from visualizations and then generates quality legends. AutoLegend enables a two-way int
Externí odkaz:
http://arxiv.org/abs/2407.16331
Autor:
Liang, Zhaohui, Zhang, Xiaoyu, Ma, Kevin, Liu, Zhao, Ren, Xipei, Goucher-Lambert, Kosa, Liu, Can
Storyboarding is an established method for designing user experiences. Generative AI can support this process by helping designers quickly create visual narratives. However, existing tools only focus on accurate text-to-image generation. Currently, i
Externí odkaz:
http://arxiv.org/abs/2407.07672
Given the widespread use of procedural instructions with non-linear access (situational information retrieval), there has been a proposal to accommodate both linear and non-linear usage in instructional design. However, it has received inadequate sch
Externí odkaz:
http://arxiv.org/abs/2407.08501
We propose an approach to manipulate existing interactive visualizations to answer users' natural language queries. We analyze the natural language tasks and propose a design space of a hierarchical task structure, which allows for a systematic decom
Externí odkaz:
http://arxiv.org/abs/2404.06039
Autor:
Li, Ruyi, Zhu, Yaxin, Liu, Min, Zeng, Yihang, Zhuang, Shanning, Fu, Jiayi, Lu, Yi, Zhou, Guyue, Liu, Can, Gong, Jiangtao
Publikováno v:
IMUWT 2024
Telepresence robots can be used to support users to navigate an environment remotely and share the visiting experience with their social partners. Although such systems allow users to see and hear the remote environment and communicate with their par
Externí odkaz:
http://arxiv.org/abs/2404.04579
With the widespread popularity of internet celebrity marketing all over the world, short video production has gradually become a popular way of presenting products information. However, the traditional video production industry usually includes serie
Externí odkaz:
http://arxiv.org/abs/2403.11700
Generative text-to-image models, which allow users to create appealing images through a text prompt, have seen a dramatic increase in popularity in recent years. However, most users have a limited understanding of how such models work and it often re
Externí odkaz:
http://arxiv.org/abs/2403.09615