Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Xia Haijun"'
Developing novel interdisciplinary research ideas often requires discussions and feedback from experts across different domains. However, obtaining timely inputs is challenging due to the scarce availability of domain experts. Recent advances in Larg
Externí odkaz:
http://arxiv.org/abs/2409.12538
Large language models (LLMs) support data analysis through conversational user interfaces, as exemplified in OpenAI's ChatGPT (formally known as Advanced Data Analysis or Code Interpreter). Essentially, LLMs produce code for accomplishing diverse ana
Externí odkaz:
http://arxiv.org/abs/2408.01703
Video creation has become increasingly popular, yet the expertise and effort required for editing often pose barriers to beginners. In this paper, we explore the integration of large language models (LLMs) into the video editing workflow to reduce th
Externí odkaz:
http://arxiv.org/abs/2402.10294
We introduce DrawTalking, an approach to building and controlling interactive worlds by sketching and speaking while telling stories. It emphasizes user control and flexibility, and gives programming-like capability without requiring code. An early o
Externí odkaz:
http://arxiv.org/abs/2401.05631
Existing text selection techniques on touchscreen focus on improving the control for moving the carets. Coarse-grained text selection on word and phrase levels has not received much support beyond word-snapping and entity recognition. We introduce 1D
Externí odkaz:
http://arxiv.org/abs/2310.17576
Thanks to their generative capabilities, large language models (LLMs) have become an invaluable tool for creative processes. These models have the capacity to produce hundreds and thousands of visual and textual outputs, offering abundant inspiration
Externí odkaz:
http://arxiv.org/abs/2310.12953
Autor:
Zhu-Tian, Chen, Xia, Haijun
Data documents play a central role in recording, presenting, and disseminating data. Despite the proliferation of applications and systems designed to support the analysis, visualization, and communication of data, writing data documents remains a la
Externí odkaz:
http://arxiv.org/abs/2310.11639
Programmers increasingly rely on Large Language Models (LLMs) for code generation. However, misalignment between programmers' goals and generated code complicates the code evaluation process and demands frequent switching between prompt authoring and
Externí odkaz:
http://arxiv.org/abs/2310.08699
Despite the advances and ubiquity of digital communication media such as videoconferencing and virtual reality, they remain oblivious to the rich intentions expressed by users. Beyond transmitting audio, videos, and messages, we envision digital comm
Externí odkaz:
http://arxiv.org/abs/2308.03311
Autor:
Zhu-Tian, Chen, Ye, Shuainan, Chu, Xiangtong, Xia, Haijun, Zhang, Hui, Qu, Huamin, Wu, Yingcai
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics ( Volume: 28, Issue: 1, January 2022)
Visualizing data in sports videos is gaining traction in sports analytics, given its ability to communicate insights and explicate player strategies engagingly. However, augmenting sports videos with such data visualizations is challenging, especiall
Externí odkaz:
http://arxiv.org/abs/2306.13491