Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Beyer, Johanna"'
Autor:
Elhamdadi, Hamza, Stefkovics, Adam, Beyer, Johanna, Moerth, Eric, Bearfield, Cindy Xiong, Nobre, Carolina
Trust is an essential aspect of data visualization, as it plays a crucial role in the interpretation and decision-making processes of users. While research in social sciences outlines the multi-dimensional factors that can play a role in trust format
Externí odkaz:
http://arxiv.org/abs/2309.16915
Autor:
Herzberger, Lukas, Hadwiger, Markus, Krüger, Robert, Sorger, Peter, Pfister, Hanspeter, Gröller, Eduard, Beyer, Johanna
We present a hybrid multi-volume rendering approach based on a novel Residency Octree that combines the advantages of out-of-core volume rendering using page tables with those of standard octrees. Octree approaches work by performing hierarchical tre
Externí odkaz:
http://arxiv.org/abs/2309.04393
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
Autor:
Lin, Tica, Aouididi, Alexandre, Chen, Zhutian, Beyer, Johanna, Pfister, Hanspeter, Wang, Jui-Hsien
Badminton is a fast-paced sport that requires a strategic combination of spatial, temporal, and technical tactics. To gain a competitive edge at high-level competitions, badminton professionals frequently analyze match videos to gain insights and dev
Externí odkaz:
http://arxiv.org/abs/2307.12539
Autor:
Zhu-Tian, Chen, Zhang, Chenyang, Wang, Qianwen, Troidl, Jakob, Warchol, Simon, Beyer, Johanna, Gehlenborg, Nils, Pfister, Hanspeter
This paper presents an empirical evaluation of the performance of the Generative Pre-trained Transformer (GPT) model in Harvard's CS171 data visualization course. While previous studies have focused on GPT's ability to generate code for visualization
Externí odkaz:
http://arxiv.org/abs/2306.02914
Autor:
Zhu-Tian, Chen, Yang, Qisen, Shan, Jiarui, Lin, Tica, Beyer, Johanna, Xia, Haijun, Pfister, Hanspeter
We present iBall, a basketball video-watching system that leverages gaze-moderated embedded visualizations to facilitate game understanding and engagement of casual fans. Video broadcasting and online video platforms make watching basketball games in
Externí odkaz:
http://arxiv.org/abs/2303.03476
Most sports visualizations rely on a combination of spatial, highly temporal, and user-centric data, making sports a challenging target for visualization. Emerging technologies, such as augmented and mixed reality (AR/XR), have brought exciting oppor
Externí odkaz:
http://arxiv.org/abs/2211.07832
Autor:
Zhu-Tian, Chen, Yang, Qisen, Xie, Xiao, Beyer, Johanna, Xia, Haijun, Wu, Yingcai, Pfister, Hanspeter
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics 2022
Augmented sports videos, which combine visualizations and video effects to present data in actual scenes, can communicate insights engagingly and thus have been increasingly popular for sports enthusiasts around the world. Yet, creating augmented spo
Externí odkaz:
http://arxiv.org/abs/2209.03434
The Quest for Omnioculars: Embedded Visualization for Augmenting Basketball Game Viewing Experiences
Autor:
Lin, Tica, Chen, Zhutian, Yang, Yalong, Chiappalupi, Daniele, Beyer, Johanna, Pfister, Hanspeter
Sports game data is becoming increasingly complex, often consisting of multivariate data such as player performance stats, historical team records, and athletes' positional tracking information. While numerous visual analytics systems have been devel
Externí odkaz:
http://arxiv.org/abs/2209.00202
Autor:
Strobelt, Hendrik, Webson, Albert, Sanh, Victor, Hoover, Benjamin, Beyer, Johanna, Pfister, Hanspeter, Rush, Alexander M.
State-of-the-art neural language models can now be used to solve ad-hoc language tasks through zero-shot prompting without the need for supervised training. This approach has gained popularity in recent years, and researchers have demonstrated prompt
Externí odkaz:
http://arxiv.org/abs/2208.07852