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pro vyhledávání: '"Zhu An Chen"'
As basketball's popularity surges, fans often find themselves confused and overwhelmed by the rapid game pace and complexity. Basketball tactics, involving a complex series of actions, require substantial knowledge to be fully understood. This comple
Externí odkaz:
http://arxiv.org/abs/2408.05123
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
Crafting effective prompts for code generation or editing with Large Language Models (LLMs) is not an easy task. Particularly, the absence of immediate, stable feedback during prompt crafting hinders effective interaction, as users are left to mental
Externí odkaz:
http://arxiv.org/abs/2405.03998
Autor:
Prasad, Vidya, Zhu-Tian, Chen, Vilanova, Anna, Pfister, Hanspeter, Pezzotti, Nicola, Strobelt, Hendrik
Diffusion models have garnered significant attention since they can effectively learn complex multivariate Gaussian distributions, resulting in diverse, high-quality outcomes. They introduce Gaussian noise into training data and reconstruct the origi
Externí odkaz:
http://arxiv.org/abs/2312.14965
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
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics ( Volume: 26, Issue: 8, 01 August 2020)
Recent advances in mobile augmented reality (AR) techniques have shed new light on personal visualization for their advantages of fitting visualization within personal routines, situating visualization in a real-world context, and arousing users' int
Externí odkaz:
http://arxiv.org/abs/2310.04843
This paper presents an authoring environment for augmenting static visualizations with virtual content in augmented reality. Augmenting static visualizations can leverage the best of both physical and digital worlds, but its creation currently involv
Externí odkaz:
http://arxiv.org/abs/2310.04826
Autor:
Xiao-Jiao Cui, Bo Xie, Ke-Wei Zhu, Qian-Qian Liao, Jian-Cheng Zhou, Shan Du, Xin-Xia Liu, Zhu-Jun Chen, Yong Yang, Xiaoqing Yi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Severe community-acquired pneumonia (SCAP) is a serious respiratory inflammation disease with high morbidity and mortality. This study aimed to evaluate the prognostic value of the platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte
Externí odkaz:
https://doaj.org/article/0a0e2d91bbc74671ac2b668b0af431a5
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 31, Pp 3884-3889 (2024)
Background Primary care general practitioners encounter significant challenges in diagnosing and managing skin diseases, highlighting the urgent need for artificial intelligence (AI) assisted systems. Although AI has the potential to improve diagnost
Externí odkaz:
https://doaj.org/article/b3e8049d5faf442796bac8c4e977291b
Autor:
Zhu-Tian, Chen, Chiappalupi, Daniele, Lin, Tica, Yang, Yalong, Beyer, Johanna, Pfister, Hanspeter
Labels are widely used in augmented reality (AR) to display digital information. Ensuring the readability of AR labels requires placing them occlusion-free while keeping visual linkings legible, especially when multiple labels exist in the scene. Alt
Externí odkaz:
http://arxiv.org/abs/2308.13540