VIS 2020: VIS Full Papers - Automate & Recommend

Описание к видео VIS 2020: VIS Full Papers - Automate & Recommend

VIS 2020: VIS Full Papers - Automate & Recommend
Session Webpage: https://virtual.ieeevis.org/session_f...
Session start: Thu Oct 29 12:00 UTC-06:00
Session end: Thu Oct 29 13:30 UTC-06:00
Youtube URL:    • VIS 2020: VIS Full Papers - Automate ...  
Discord Link:   / discord  
Session Chair(s): Kanit Wongsuphasawat
1200-1215: Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics by Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang.
Presented by Chunyao Qian, Shizhao Sun
1215-1230: Calliope: A System for Automatic Visual Data Story Generation from a Spreadsheet by Danqing Shi, Xinyue Xu, Fuling Sun, Yang Shi, Nan Cao.
Presented by Danqing Shi
1230-1245: MobileVisFixer: Tailoring Web Visualizations for Mobile Phones Leveraging an Explainable Reinforcement Learning Framework by Aoyu Wu, Wai Tong, Tim Dwyer, Bongshin Lee, Petra Isenberg, Huamin Qu.
Presented by Aoyu Wu
1245-1300: Palettailor: Discriminable Colorization for Categorical Data by Kecheng Lu, Mi Feng, Xin Chen, Michael Sedlmair, Oliver Deussen, Dani Lischinski, Zhanglin Cheng, Yunhai Wang.
Presented by Kecheng Lu
1300-1315: Gemini: A Grammar and Recommender System for Animated Transitions in Statistical Graphics by Younghoon Kim, Jeffrey Heer.
Presented by Younghoon Kim
1315-1330: VizCommender: Computing Text-Based Similarity in Visualization Repositories for Content-Based Recommendations by Michael Oppermann, Robert Kincaid, Tamara Munzner.
Presented by Michael Oppermann

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