ReVision: automated classification, analysis and redesign of chart images

By Manolis Savva, Nicholas Kong, Arti Chhajta, Li Fei-Fei, Maneesh Agrawala, Jeffrey Heer. ACM Symposium on User Interface Software and Technology, 2011

333 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/df953c84062ac2dbefe8322babff8007df25a94a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Christopher Kanan
2. Brian L. Price
3. Scott D. Cohen
4. Robik Shrestha
5. Kushal Kafle
6. Shafiq R. Joty
7. Do Xuan Long
8. Ahmed Masry

Citations in the corpus

• ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning (2022, background): “Chart Data Extraction Early papers introduced semi-automatic systems to extract the data from the chart images (Savva et al., 2011; Jung et al., 2017).”
• Answering Questions about Data Visualizations using Efficient Bimodal Fusion (2019, background): “There is a sizable body of prior work in this domain, ranging from extraction of visual elements in a chart [32, 39] to the extraction of underlying data [36, 22, 9].”
• DVQA: Understanding Data Visualizations via Question Answering (2018, methodology): “, [31] made several simplifying assumptions about bar chart appearance (bars are solidly shaded without textures or gradients, no stacked bars, etc.”