Demo Data from VLDB 2026 / reviewers in the wild / expert
Hequn Bai
dblp:139/7607
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 |
Audio and music processing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing › acoustic simulation
acoustic radiance transfer |
0.2 | 1 | 2015 | Late Reverberation Synthesis: From Radiance Transfer to Feedback Delay Networks · IEEE ACM Trans. Audio Speech Lang. Process. 2015 |
Audio and music processing › audio effects › artificial reverberation
feedback delay network |
0.2 | 1 | 2015 | Late Reverberation Synthesis: From Radiance Transfer to Feedback Delay Networks · IEEE ACM Trans. Audio Speech Lang. Process. 2015 |
Audio and music processing
room acoustics |
0.2 | 1 | 2015 | Late Reverberation Synthesis: From Radiance Transfer to Feedback Delay Networks · IEEE ACM Trans. Audio Speech Lang. Process. 2015 |
Methods — techniques the papers use, named apart from their topics
feedback delay networks · 0.2acoustic radiance transfer method · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Late Reverberation Synthesis: From Radiance Transfer to Feedback Delay NetworksabstractIn room acoustic modeling, feedback delay networks (FDN) are known to efficiently model late reverberation due to their capacity to generate exponentially decaying dense impulses. However, this method relies on a careful tuning of the different synthesis parameters, either estimated from a pre-recorded impulse response from the real acoustic scene, or set manually from experience. In this paper, we present a new method, which still inherits the efficiency of the FDN structure, but aims at linking the parameters of the FDN directly to the geometry setting. This relation is achieved by studying the sound energy exchange between each delay line using the acoustic radiance transfer method (RTM). Experimental results show that the late reverberation modeled by this method is in good agreement with the virtual geometry setting. Hequn Bai, Gaël Richard, Laurent Daudet |
IEEE ACM Trans. Audio Speech Lang. Process. | 1 |