David Hafner

Orcid: 0000-0001-6752-1714

According to our database1, David Hafner authored at least 17 papers between 2013 and 2024.

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Bibliography

2024
OpenBot-Fleet: A System for Collective Learning with Real Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2022
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
A Measure of Research Taste.
CoRR, 2021

The h-index is no longer an effective correlate of scientific reputation.
CoRR, 2021

2017
Variational image fusion.
PhD thesis, 2017

2016
Variational Image Fusion with Optimal Local Contrast.
Comput. Graph. Forum, 2016

FSI Schemes: Fast Semi-Iterative Solvers for PDEs and Optimisation Methods.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

2015
A focus fusion framework with anisotropic depth map smoothing.
Pattern Recognit., 2015

Mathematical Foundations and Generalisations of the Census Transform for Robust Optic Flow Computation.
J. Math. Imaging Vis., 2015

Morphologically Invariant Matching of Structures with the Complete Rank Transform.
Int. J. Comput. Vis., 2015

Multiview Depth Parameterisation with Second Order Regularisation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Variational Exposure Fusion with Optimal Local Contrast.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Introducing Maximal Anisotropy into Second Order Coupling Models.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014
Simultaneous HDR and Optic Flow Computation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Why Is the Census Transform Good for Robust Optic Flow Computation?
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Focus Fusion with Anisotropic Depth Map Smoothing.
Proceedings of the Computer Analysis of Images and Patterns, 2013

The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures.
Proceedings of the British Machine Vision Conference, 2013


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