Demo Data from EDBT 2026 / reviewers in the wild / expert
Kuiyang Lou
dblp:06/6286
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2Databases, data management, data science and information retrieval · 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.
| Computer graphics and multimedia
2 papers |
Multimedia analysis and retrieval · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 70% Data models and query languages · 23% Indexing and storage engines · 7% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 8 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Multimedia analysis and retrieval
3d shape retrieval |
0.1 | 2 | 2005 | Shape-based searching for product lifecycle applications · Comput. Aided Des. 2005 Three-dimensional shape searching: state-of-the-art review and future trends · Comput. Aided Des. 2005 |
Multimedia analysis and retrieval › multimedia retrieval › content-based retrieval
shape retrieval |
0.1 | 2 | 2005 | Shape-based searching for product lifecycle applications · Comput. Aided Des. 2005 Three-dimensional shape searching: state-of-the-art review and future trends · Comput. Aided Des. 2005 |
Information retrieval › image retrieval › shape retrieval
3d shape retrieval |
0.0 | 1 | 2004 | Content-based Three-dimensional Engineering Shape Search · ICDE 2004 |
Information retrieval
content-based retrieval |
0.0 | 1 | 2004 | Content-based Three-dimensional Engineering Shape Search · ICDE 2004 |
Data models and query languages › query interface
query by example |
0.0 | 1 | 2004 | Content-based Three-dimensional Engineering Shape Search · ICDE 2004 |
Information retrieval
relevance feedback |
0.0 | 1 | 2004 | Content-based Three-dimensional Engineering Shape Search · ICDE 2004 |
Computational science and engineering
product lifecycle management |
0.0 | 1 | 2005 | Shape-based searching for product lifecycle applications · Comput. Aided Des. 2005 |
Indexing and storage engines
multidimensional indexing |
0.0 | 1 | 2004 | Content-based Three-dimensional Engineering Shape Search · ICDE 2004 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Three-dimensional shape searching: state-of-the-art review and future trends
Natraj Iyer, Subramaniam Jayanti, Kuiyang Lou, Yagnanarayanan Kalyanaraman, Karthik Ramani |
Comput. Aided Des. | 3 |
| 2005 | Shape-based searching for product lifecycle applications
Natraj Iyer, Subramaniam Jayanti, Kuiyang Lou, Yagnanarayanan Kalyanaraman, Karthik Ramani |
Comput. Aided Des. | 3 |
| 2004 | Content-based Three-dimensional Engineering Shape SearchabstractWe discuss the design and implementation of a prototype 3D engineering shape search system. The system incorporates multiple feature vectors, relevance feedback, and query by example and browsing, flexible definition of shape similarity, and efficient execution through multidimensional indexing and clustering. In order to offer more information for a user to determine similarity of 3D engineering shape, a 3D interface that allows users to manipulate shapes is proposed and implemented to present the search results. The system allows users to specify which feature vectors should be used to perform the search. The system is used to conduct extensive experimentation real data to test the effectiveness of various feature vectors for shape - the first such comparison of this type. The test results show that the descending order of the average precision of feature vectors is: principal moments, moment invariants, geometric parameters, and eigenvalues. In addition, a multistep similarity search strategy is proposed and tested to improve the effectiveness of 3D engineering shape search. It is shown that the multistep approach is more effective than the one-shot search approach, when a fixed number of shapes are retrieved. Kuiyang Lou, Sunil Prabhakar 0001, Karthik Ramani |
ICDE | 1 |