Demo Data from EDBT 2026 / reviewers in the wild / expert
Dongsheng Yao
dblp:97/1978
· DBLP profile ↗
3ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
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 · 56% Image and video coding · 44% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing › binary image processing
connected component labeling |
0.0 | 1 | 2002 | An Algorithm with Reduced Operations for Connected Components Detection in ITU-T Group 3/4 Coded Images · IEEE Trans. Pattern Anal. Mach. Intell. 2002 |
Image and video coding › document image compression
facsimile coding |
0.0 | 1 | 2002 | An Algorithm with Reduced Operations for Connected Components Detection in ITU-T Group 3/4 Coded Images · IEEE Trans. Pattern Anal. Mach. Intell. 2002 |
Methods — techniques the papers use, named apart from their topics
MH/MR/MMR decoding · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Boundary Information Aggregation and Adaptive Keypoint Combination Enhanced Object Detection
Dongsheng Yao, Panyue Chen |
ICIG (1) | 2 |
| 2005 | Document analysis by processing JBIG-encoded images
Emma E. Regentova, Shahram Latifi, De Chen, Kazem Taghva, Dongsheng Yao |
Int. J. Document Anal. Recognit. | 5 |
| 2002 | An Algorithm with Reduced Operations for Connected Components Detection in ITU-T Group 3/4 Coded ImagesabstractAn algorithm, which performs connected components detection in the course of decoding ITU-T (former CCITT) facsimile Group 3/4, i.e., MH/MR/MMR compressed images is presented. New definitions of mode color and a new transition element are introduced that allow MR/MMR codes to analyze and derive information about connection of black runs in two adjacent scan lines in the course of decoding. The experiments on the standard set of eight CCITT documents have shown that, on the average, the complexity of direct processing of MR/MMR codes is lower by a factor of 20 and 2.5 than that for raster images and MH codes processing respectively. Data structures for image vector description are discussed. Emma E. Regentova, Shahram Latifi, Shulan Deng, Dongsheng Yao |
IEEE Trans. Pattern Anal. Mach. Intell. | 4 |