Demo Data from SIGIR 2026 / reviewers in the wild / expert
Chun-Liang Tu
dblp:38/3060
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 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
1 paper |
Image and video processing · 77% Audio and music processing · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing
singularity detection |
0.1 | 1 | 2005 | Analysis of singularities from modulus maxima of complex wavelets · IEEE Trans. Inf. Theory 2005 |
Audio and music processing › time-frequency analysis
instantaneous frequency estimation |
0.0 | 1 | 2005 | Analysis of singularities from modulus maxima of complex wavelets · IEEE Trans. Inf. Theory 2005 |
Methods — techniques the papers use, named apart from their topics
wavelet transform · 0.1complex-valued wavelets · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Analysis of singularities from modulus maxima of complex waveletsabstractComplex-valued wavelets are normally used to measure instantaneous frequencies, while real wavelets are normally used to detect singularities. We prove that the wavelet modulus maxima with a complex-valued wavelet can detect and characterize singularities. This is an extension of the previous wavelet work of Mallat and Hwang on modulus maxima using a real wavelet. With this extension, we can simultaneously detect instantaneous frequencies and singularities from the wavelet modulus maxima of a complex-valued wavelet. Some results of singularity detection with the modulus maxima from a real wavelet and an analytic complex-valued wavelet are compared. We also demonstrate that singularity detection methods can be employed to detect the corners of a planar object. Chun-Liang Tu, Wen-Liang Hwang, Jinn Ho |
IEEE Trans. Inf. Theory | 1 |