EDBT 2026 Demo / reviewers in the wild / expert
Cindula Saipriyadarshan
dblp:52/1832
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—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.
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
GPUs and heterogeneous computing · 100% | |
| Artificial intelligence
1 paper |
Image recognition and object detection · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
GPUs and heterogeneous computing › GPU programming
GPU programming frameworks |
0.1 | 1 | 2008 | GpuCV: an opensource GPU-accelerated framework forimage processing and computer vision · ACM Multimedia 2008 |
Methods — techniques the papers use, named apart from their topics
benchmarking · 0.2GLSL · 0.2CUDA · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | GpuCV: an opensource GPU-accelerated framework forimage processing and computer visionabstractThis paper presents GpuCV, an open source multi-platform library for easily developing GPU-accelerated image processing and Computer Vision operators and applications. It is meant for computer vision scientist not familiar with GPU technologies. It is designed to be compatible with Intel's OpenCV library by offering GPU-accelerated operators that can be integrated into native OpenCV applications. The GpuCV framework transparently manages hardware capabilities, data synchronization, activation of low level GLSL and CUDA programs, on-the-fly benchmarking and switching to the most efficient implementation and finally offers a set of image processing operators with GPU acceleration available. Yannick Allusse, Patrick Horain, Cindula Saipriyadarshan |
ACM Multimedia | 4 |