Demo Data from EDBT 2026 / reviewers in the wild / expert
Vamshi Krishna Madaram
dblp:207/1930
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Motion planning and robot control · 77% 3D vision · 23% | |
| Computer graphics and multimedia
1 paper |
Computational fabrication · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › manipulator control
robot arm control |
0.3 | 1 | 2017 | Shadow Puppetry with Robotic Arms · ACM Multimedia 2017 |
Computer vision › 3D vision
shape matching |
0.1 | 1 | 2017 | Shadow Puppetry with Robotic Arms · ACM Multimedia 2017 |
Methods — techniques the papers use, named apart from their topics
shape correspondence matching · 0.6salient object detection · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Shadow Puppetry with Robotic ArmsabstractIn this work, we aim to introduce our framework that performs the hand shadow puppetry using robotic arms. Human arms are not flexible and dynamic enough to produce many complicated shadow poses so we aim to utilize robotic arms for shadow puppetry. Firstly, we construct a shadow library to cover all the possible shadow images for a single robotic hand. For the input image, we first extract the shadow image by using a salient object detector. Then we match the shape correspondences between the input shadow image with the ones in the shadow library. Finally, we transfer the corresponding parameters of the best matching shadow in the library into proper utility to control the physical robotics arms. Zhe Huang 0008, Vamshi Krishna Madaram, Saad Albadrani, Tam V. Nguyen 0002 |
ACM Multimedia | 2 |