Demo Data from SIGIR 2026 / reviewers in the wild / expert
Anqi Ye
dblp:07/305
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · unresolved
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 |
Multimedia analysis and retrieval · 87% Image and video processing · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Multimedia analysis and retrieval › object recognition
automatic target recognition |
0.0 | 1 | 1997 | Detection filters and algorithm fusion for ATR · IEEE Trans. Image Process. 1997 |
Multimedia analysis and retrieval › object detection
target detection |
0.0 | 1 | 1997 | Detection filters and algorithm fusion for ATR · IEEE Trans. Image Process. 1997 |
Image and video processing
thermal imaging |
0.0 | 1 | 1997 | Detection filters and algorithm fusion for ATR · IEEE Trans. Image Process. 1997 |
Methods — techniques the papers use, named apart from their topics
receiver operating characteristics · 0.0detection filter · 0.0algorithm fusion · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Detection filters and algorithm fusion for ATRabstractDetection involves locating all candidate regions of interest (objects) in a scene independent of the object class with object distortions and contrast differences, etc., present. It is one of the most formidable problems in automatic target recognition, since it involves analysis of every local scene region. We consider new detection algorithms and the fusion of their outputs to reduce the probability of false alarm P(FA) while maintaining high probability of detection P(D). Emphasis is given to detecting obscured targets in infrared imagery. David P. Casasent, Anqi Ye |
IEEE Trans. Image Process. | 2 |