Ramesh Raskar
Biographic Data
| ID | 3459190 |
|---|---|
| NAME | Ramesh Raskar |
| GIVEN NAMES | Ramesh |
| FAMILY NAME | Raskar |
| SIGNATURE | RASKAR R |
| AFFILIATIONS | Human Media |
| ORCID | 0000-0002-3254-3224 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 0 |
Computer vision uncovers predictors of physical urban change
Significance We develop a computer vision method to measure changes in the physical appearances of neighborhoods from street-level imagery. We correlate the measured changes with neighborhood characteristics to determine which characteristics predict neighborhood improvement. We find that both education and population density predict improvements in neighborhood infrastructure, in support of theories of human capital agglomeration. Neighborhoods …
Deep Learning the City: Quantifying Urban Perception at a Global Scale
Demo hour
The ACM Symposium on User Interface Software and Technology (UIST) is the premier forum for innovations in human-computer interfaces. This year, we curated more than 40 demonstrations, aimed to allow conference attendees to look, touch, and witness new and inspiring technologies live. Here, we selected four projects that showcase the very best in the community. Chris Harrison and Nicolai Marquardt, UIST 2015 Demo Committee Chairs
Demo hour
Demo Hour highlights new prototypes and projects that exemplify innovation and novel forms of interaction. Audrey Desjardins, Editor
No prominent works on this page.
Demo hour
Demo Hour highlights new prototypes and projects that exemplify innovation and novel forms of interaction. Audrey Desjardins, Editor
Deep Learning the City: Quantifying Urban Perception at a Global Scale
Demo hour
The ACM Symposium on User Interface Software and Technology (UIST) is the premier forum for innovations in human-computer interfaces. This year, we curated more than 40 demonstrations, aimed to allow conference attendees to look, touch, and witness new and inspiring technologies live. Here, we selected four projects that showcase the very best in the community. Chris Harrison and Nicolai Marquardt, UIST 2015 Demo Committee Chairs
Computer vision uncovers predictors of physical urban change
Significance We develop a computer vision method to measure changes in the physical appearances of neighborhoods from street-level imagery. We correlate the measured changes with neighborhood characteristics to determine which characteristics predict neighborhood improvement. We find that both education and population density predict improvements in neighborhood infrastructure, in support of theories of human capital agglomeration. Neighborhoods …
Computer Science (4 works) · Data science (2 works) · Geography (2 works) · Impact of Light on Environment and Health (2 works) · World Wide Web (2 works) · Architecture (1 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works) · Biomedical and Engineering Education (1 works) · Cartography (1 works)