VLDB 2026 Research / reviewers in the wild / expert
Shanti Bhattacharya
dblp:281/6422
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
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 |
Deep learning architectures and training · 100% | |
| Computer graphics and multimedia
1 paper |
Computational photography and imaging · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Deep learning architectures and training
physics-informed neural network |
0.6 | 1 | 2022 | LWGNet - Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval · ECCV (7) 2022 |
Computational photography and imaging
phase retrieval |
0.6 | 1 | 2022 | LWGNet - Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval · ECCV (7) 2022 |
Methods — techniques the papers use, named apart from their topics
wirtinger gradients · 1.1learned gradients · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | LWGNet - Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval
Atreyee Saha, Salman Siddique Khan, Sagar Sehrawat, Sanjana S. Prabhu, Shanti Bhattacharya, Kaushik Mitra |
ECCV (7) | 5 |