Florian Becker

Orcid: 0000-0003-2268-8232

According to our database1, Florian Becker authored at least 33 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Unsupervised EHR-based phenotyping via matrix and tensor decompositions.
WIREs Data. Mining. Knowl. Discov., 2023

A Modular and Adaptive System for Business Email Compromise Detection.
CoRR, 2023

An Eigenvalue-Free Implementation of the Log-Conformation Formulation.
CoRR, 2023

2022
How robust are modern graph neural network potentials in long and hot molecular dynamics simulations?
Mach. Learn. Sci. Technol., December, 2022

Phenotyping of Cervical Cancer Risk Groups via Generalized Low-Rank Models Using Medical Questionnaires.
Proceedings of the Nordic Artificial Intelligence Research and Development, 2022

2021
Optimal multispectral sensor configurations through machine learning for cognitive agriculture.
Autom., 2021

GemNet: Universal Directional Graph Neural Networks for Molecules.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019
timueh/PolyChaos.jl: v0.1.2.
Dataset, March, 2019

2017
Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE<sub>3</sub> Based on Nonlinear Observations.
J. Math. Imaging Vis., 2017

2015
Optical Flow.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Second Order Minimum Energy Filtering on $${\text {SE}}_{3}$$ with Nonlinear Measurement Equations.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Identifying User Interests within the Data Space - a Case Study with SkyServer.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014
Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets.
SIAM J. Imaging Sci., 2014

Solving QVIs for Image Restoration with Adaptive Constraint Sets.
CoRR, 2014

2013
Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences.
Int. J. Comput. Vis., 2013

A class of quasi-variational inequalities for adaptive image denoising and decomposition.
Comput. Optim. Appl., 2013

B-SMART: Bregman-Based First-Order Algorithms for Non-negative Compressed Sensing Problems.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Denoising Strategies for Time-of-Flight Data.
Proceedings of the Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, 2013

2012
Corrections to "Variational Adaptive Correlation Method for Flow Estimation".
IEEE Trans. Image Process., 2012

Variational Adaptive Correlation Method for Flow Estimation.
IEEE Trans. Image Process., 2012

2011
Variational Image Denoising with Adaptive Constraint Sets.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Neuron Inspired Collaborative Transmission in Wireless Sensor Networks.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2011

Collective Communication for Dense Sensing Environments.
Proceedings of the 7th International Conference on Intelligent Environments, 2011

2009
Variational correlation and decomposition methods for particle image velocimetry.
PhD thesis, 2009

Convex Multi-class Image Labeling by Simplex-Constrained Total Variation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Convex optimization for multi-class image labeling with a novel family of total variation based regularizers.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry.
Proceedings of the Pattern Recognition, 2008

Decomposition of Quadratic Variational Problems.
Proceedings of the Pattern Recognition, 2008

2007
Median and related local filters for tensor-valued images.
Signal Process., 2007

2005
A Study of Non-smooth Convex Flow Decomposition.
Proceedings of the Variational, 2005

Matrix-Valued Filters as Convex Programs.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005


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