Demo Data from SIGIR 2026 / reviewers in the wild / expert
Michael L. Baird
dblp:45/2317
· DBLP profile ↗
5ranked-venue papers
5as first author
0since 2021 · last 1985
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 4 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorSystems, architecture and hardware · 1 · 1 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 · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 100% | |
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Image recognition and object detection
object recognition |
0.0 | 1 | 1983 | GAGESIGHT: A Computer Vision System for Automatic Inspection of Instrument Gauges · IEEE Trans. Pattern Anal. Mach. Intell. 1983 |
Image and video processing
image segmentation |
0.0 | 1 | 1977 | Image Segmentation Technique for Locating Automotive Parts on Belt Conveyors · IJCAI 1977 |
Electronic design automation › hardware test
defect detection |
0.0 | 1 | 1985 | EYESEE: A machine vision system for inspection of integrated circuit chips · ICRA 1985 |
Electronic design automation
hardware verification and test |
0.0 | 1 | 1985 | EYESEE: A machine vision system for inspection of integrated circuit chips · ICRA 1985 |
Methods — techniques the papers use, named apart from their topics
teach program · 0.0machine vision · 0.0line width measurement · 0.0interactive display console · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1985 | EYESEE: A machine vision system for inspection of integrated circuit chipsabstractA mechine vision system for inspecting either "in-process" or completed (fully patterned) integrated circuit (IC) chips has been demonstrated. Applied to the inspection of a Darlington IC, the EYESEE system was shown to effectively replace a human operator in performing a final inspection task. EYESEE has been extended to inspection of certain Large Scale Integration (LSI) and Very Large Scale Integration (VLSI) devices for characterization measurement of line widths and critical dimensions, for measurement of mask and reticle overlay registration accuracy, and for detection and identification of macro end micro defects. Technical feasibility has been established for automating many semiconductor inspection tasks. A comprehensive review of other relevant machine vision techniques used within the semiconductor manufacturing industry is presented. Michael L. Baird |
ICRA | 1 |
| 1983 | GAGESIGHT: A Computer Vision System for Automatic Inspection of Instrument GaugesabstractGAGESIGHT is a computer vision system recently integrated into production which demonstrates new flexibility in production automation technology. The vision algorithm accommodates significant misregistration in the position and orientation of objects, and adjusts process control parameters accordingly. The GAGESIGHT system is easily reconfigured for inspecting new types of objects by executing a teach program, and responding to a few instructions at an interactive display console. GAGESIGHT, intially intended for the automatic inspection and assembly of pointers and other components to instrument gauges, is finding new applications as well since the approach employed makes few assumptions regarding the objects being viewed. Michael L. Baird |
IEEE Trans. Pattern Anal. Mach. Intell. | 1 |
| 1977 | Image Segmentation Technique for Locating Automotive Parts on Belt Conveyors
Michael L. Baird |
IJCAI | 1 |
| 1974 | Recognizing Objects by Rules of Inference on Sequentially Thresholded Gray-Level Pictures
Michael L. Baird, Michael D. Kelly |
Comput. Graph. Image Process. | 1 |
| 1974 | A paradigm for semantic picture recognition
Michael L. Baird, Michael D. Kelly |
Pattern Recognit. | 1 |