activity
20132024
most citedModel-based learning of local image features for unsupervised texture segmentation

31 citations · 45 across the 7 of their papers we have counts for

collaborators

7 papers

physics.app-ph2024★ 1 cited

The Effect of Ga-Ion Irradiation on Sub-Micron-Wavelength Spin Waves in Yttrium-Iron-Garnet Films

Johannes Greil, Martina Kiechle, Adam Papp +8

We investigate the effect of focused-ion-beam (FIB) irradiation on spin waves with sub-micron wavelengths in Yttrium-Iron-Garnet (YIG) films. Time-resolved scanning transmission X-…

physics.app-ph2023★ 1 cited

Secondary Excitation of Spin-Waves: How Electromagnetic Cross-Talk Impacts on Magnonic Devices

Johannes Greil, Matthias Golibrzuch, Martina Kiechle +4

This work examines the impact of electromagnetic cross-talk in magnonic devices when using inductive spin-wave (SW) transducers. We present detailed electrical SW spectroscopy meas…

physics.app-ph2022★ 2 cited

Experimental Demonstration of a Spin-Wave Lens Designed with Machine Learning

Martina Kiechle, Levente Maucha, Valentin Ahrens +5

We present the design and experimental realization of a device that acts like a spin-wave lens i.e., it focuses spin waves to a specified location. The structure of the lens does n…

physics.app-ph2022★ 1 cited

Spin-Wave Optics in YIG by Ion-Beam Irradiation

Martina Kiechle, Adam Papp, Simon Mendisch +6

We demonstrate direct focused ion beam (FIB) writing as an enabling technology for realizing spin-wave-optics devices. It is shown that ion-beam irradiation changes the characteris…

cs.CV2017★ 31 cited

Model-based learning of local image features for unsupervised texture segmentation

Martin Kiechle, Martin Storath, Andreas Weinmann +1

Features that capture well the textural patterns of a certain class of images are crucial for the performance of texture segmentation methods. The manual selection of features or d…

cs.CV2014

A Bimodal Co-Sparse Analysis Model for Image Processing

Martin Kiechle, Tim Habigt, Simon Hawe +1

The success of many computer vision tasks lies in the ability to exploit the interdependency between different image modalities such as intensity and depth. Fusing corresponding in…