Demo Data from EDBT 2026 / reviewers in the wild / expert
Hossein Javidnia
dblp:159/8286
· DBLP profile ↗
5ranked-venue papers
2as first author
1since 2021 · last 2026
0000-0002-5640-4798ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 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 |
Computational photography and imaging · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational photography and imaging › image acquisition › imaging system design › camera design
lens design |
0.2 | 1 | 2015 | Potential of support vector regression for optimization of lens system · Comput. Aided Des. 2015 |
Methods — techniques the papers use, named apart from their topics
support vector regression · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Reliability-Aware MC-SURE for Finite-Iteration TV Denoising
Hossein Javidnia |
IEEE Signal Process. Lett. | 1 |
| 2020 | An Advert Creation System for 3D Product Placements
Ivan Bacher, Hossein Javidnia, Soumyabrata Dev, Rahul Agrahari, Murhaf Hossari, Matthew Nicholson, Clare Conran, Peng Song 0027, David Corrigan, François Pitié |
ECML/PKDD (4) | 2 |
| 2018 | Latent space mapping for generation of object elements with corresponding data annotation
Shabab Bazrafkan, Hossein Javidnia, Peter Corcoran 0001 |
Pattern Recognit. Lett. | 2 |
| 2015 | Palm-print recognition for authentication on smartphonesabstractIn a world where smart phones are becoming ubiquitous and are more powerful than ever, security is becoming an issue. Equipped with good cameras, smart phones are prime candidates for software designed to recognize objects and people around them. By recognizing biometric patterns such as the face, palm-prints or hand knuckles, smart phones can heighten security standards. Depending on the intended action, specific security requirements should be met. For instance, bank services need a reliable authentication system, whereas unlocking a device can use a lower security feature. For this perspective we are working on a database of palm-prints that have only been acquired using smart phones to verify their users' identity and also designing an authentication system based on these results to be used on smartphones. Hossein Javidnia, Adrian Ungureanu, Peter Corcoran 0001 |
ISTAS | 1 |
| 2015 | Potential of support vector regression for optimization of lens system
Torki A. Altameem, Vlastimir Nikolic, Shahab B. Band, Dalibor Petkovic, Hossein Javidnia, Miss Laiha Mat Kiah, Abdullah Gani |
Comput. Aided Des. | 5 |