EDBT 2026 Demo / reviewers in the wild / expert
Alistair J. Bray
dblp:15/3907
· DBLP profile ↗
7ranked-venue papers
6as first author
0since 2021 · last 1996
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 6 · 5 first-authorGraphics, computer vision, multimedia, augmented reality and games · 4 · 4 first-author
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 |
Image recognition and object detection · 50% 3D vision · 50% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
geometric constraints |
0.0 | 1 | 1990 | Object Recognition Using Local Geometric Constraints: A Robust Alternative To Tree-Search · ECCV 1990 |
Computer vision › Image recognition and object detection
object recognition |
0.0 | 1 | 1990 | Object Recognition Using Local Geometric Constraints: A Robust Alternative To Tree-Search · ECCV 1990 |
Algorithms and data structures › data structure design › search structures
search trees |
0.0 | 1 | 1990 | Object Recognition Using Local Geometric Constraints: A Robust Alternative To Tree-Search · ECCV 1990 |
Methods — techniques the papers use, named apart from their topics
tree search · 0.0local geometric constraints · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | A Self-Organizing Model of "Color Blob" FormationabstractThis paper explores the possibility that the formation of color blobs in primate striate cortex can be partly explained through the process of activity-based self-organization. We present a simulation of a highly simplified model of visual processing along the parvocellular pathway, that combines precortical color processing, excitatory and inhibitory cortical interactions, and Hebbian learning. The model self-organizes in response to natural color images and develops islands of unoriented, color-selective cells within a sea of contrast-sensitive, orientation-selective cells. By way of understanding this topography, a principal component analysis of the color inputs presented to the network reveals that the optimal linear coding of these inputs keeps color information and contrast information separate. Harry G. Barrow, Alistair J. Bray, Julian M. L. Budd |
Neural Comput. | 2 |
| 1995 | Tracking Surfaces via Texture-mapping: A Boot-strapping Approach
Alistair J. Bray |
CAIP | 1 |
| 1992 | Michael I. Posner, ed., Foundations of Cognitive Science
Alistair J. Bray, Lynne J. Cahill, John Rae |
Artif. Intell. | 1 |
| 1991 | Properties of Local Geometric Constraints
Alistair J. Bray |
BMVC | 1 |
| 1991 | Tracking Curved Objects by Perspective Inversion
Alistair J. Bray |
BMVC | 1 |
| 1990 | Object Recognition Using Local Geometric Constraints: A Robust Alternative To Tree-Search
Alistair J. Bray |
ECCV | 1 |
| 1990 | Tracking objects using image disparities
Alistair J. Bray |
Image Vis. Comput. | 1 |