Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael Murdoch
dblp:124/8735 · also Michael J. Murdoch
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-5954-9482ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1
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 |
Efficient and distributed learning · 100% | |
| Computer graphics and multimedia
1 paper |
Image and video coding · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning
model compression |
0.9 | 1 | 2025 | Gain-MLP: Improving HDR Gain Map Encoding via a Lightweight MLP · ICCV 2025 |
Image and video coding › image compression
high dynamic range image coding |
0.9 | 1 | 2025 | Gain-MLP: Improving HDR Gain Map Encoding via a Lightweight MLP · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
MLP · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Gain-MLP: Improving HDR Gain Map Encoding via a Lightweight MLP
Trevor D. Canham, SaiKiran Kumar Tedla, Michael Murdoch, Michael S. Brown |
ICCV | 3 |
| 2016 | Color appearance modeling in augmented realityabstractAugmented Reality (AR) technology enables humans to mix synthetic objects and colors with real scenes. Applications that can benefit from AR include education, entertainment, design and medical applications (Van Krevelen and Poelman, 2010). Over the years, most of the attempts in AR area have been focused on fundamental problems in designing an efficient AR system. Although much progress has been made in the hardware and software areas, researchers are still tackling problems in registration, occlusion, tracking, focus, etc. Nargess Hassani, Michael Murdoch |
SAP | 2 |