Name
Abstract | ||
|---|---|---|
Information visualization has great potential to make sense of the increasing amount of data generated by complex machine-learning algorithms. We design a set of visualizations for a new deep-learning algorithm called FaceLift (goodcitylife.org/facelift). This algorithm is able to generate a beautified version of a given urban image (such as from Google Street View), and our visualizations compare... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MCG.2018.053491732 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
Data visualization,Visualization,Measurement,Smart cities,Urban areas,Complexity theory,User centered design | Data visualization,Urban informatics,Information visualization,Computer science,Visualization,Beautification,Artificial intelligence,Deep learning,Multimedia,Computer graphics,User-centered design | Journal |
Volume | Issue | ISSN |
38 | 5 | 0272-1716 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tobias Kauer | 1 | 0 | 0.34 |
| Sagar Prakash Joglekar | 2 | 12 | 8.19 |
| Miriam Redi | 3 | 182 | 20.76 |
| Luca Maria Aiello | 4 | 713 | 44.77 |
| Daniele Quercia | 5 | 1618 | 103.55 |