EDBT 2026 Demo / reviewers in the wild / expert
Florian Mannel
dblp:294/3456 · also Florian Kruse
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2022
0000-0001-9042-0428ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 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
2 papers |
3D vision · 67% Deep learning architectures and training · 33% | |
| Theoretical computer science
2 papers |
Mathematical optimization · 67% Quantum computing and quantum information · 33% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Deep learning architectures and training › deep generative model
implicit models |
0.6 | 1 | 2022 | SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models · ICLR 2022 |
Computer vision › 3D vision › point cloud registration
point set registration |
0.6 | 1 | 2022 | An Iterative Quantum Approach for Transformation Estimation from Point Sets · CVPR 2022 |
Computer vision › 3D vision › point cloud registration › transformation estimation
rigid transformation estimation |
0.6 | 1 | 2022 | An Iterative Quantum Approach for Transformation Estimation from Point Sets · CVPR 2022 |
Mathematical optimization
bilevel optimization |
0.6 | 1 | 2022 | SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models · ICLR 2022 |
Mathematical optimization
continuous optimization |
0.6 | 1 | 2022 | SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models · ICLR 2022 |
Quantum computing and quantum information › quantum computational models
quantum annealing |
0.6 | 1 | 2022 | An Iterative Quantum Approach for Transformation Estimation from Point Sets · CVPR 2022 |
Methods — techniques the papers use, named apart from their topics
inverse hessian approximation · 1.1forward pass sharing · 1.1adiabatic quantum computation · 1.1adaptive scheme · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | An Iterative Quantum Approach for Transformation Estimation from Point SetsabstractWe propose an iterative method for estimating rigid transformations from point sets using adiabatic quantum computation. Compared to existing quantum approaches, our method relies on an adaptive scheme to solve the problem to high precision, and does not suffer from inconsistent rotation matrices. Experimentally, our method performs robustly on several 2D and 3D datasets even with high outlier ratio. Natacha Kuete Meli, Florian Mannel, Jan Lellmann |
CVPR | 2 |
| 2022 | SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models
Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean-Luc Starck, Philippe Ciuciu, Thomas Moreau 0001 |
ICLR | 2 |