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5 papers · 1 filter
Probing surface-to-volume ratio of an anisotropic medium by diffusion {NMR} with general gradient encoding
Nicolas Moutal, Ivan I. Maximov, Denis S. Grebenkov
Since the seminal paper by Mitra et al., diffusion MR has been widely used in order to estimate surface-to-volume ratios. In the present work we generalize Mitra's formula for arbi…
Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network
Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad +3
A significant problem of using deep learning techniques is the limited amount of data available for training. There are some datasets available for the popular problems like item r…
Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images
Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad +3
The field of collaborative robotics and human-robot interaction often focuses on the prediction of human behaviour, while assuming the information about the robot setup and configu…
Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space
Johanna Senk, Espen Hagen, Sacha J. van Albada +1
Multi-electrode arrays covering several square millimeters of neural tissue provide simultaneous access to population signals such as extracellular potentials and spiking activity…
Robot Localisation and 3D Position Estimation Using a Free-Moving Camera and Cascaded Convolutional Neural Networks
Justinas Miseikis, Patrick Knobelreiter, Inka Brijacak +4
Many works in collaborative robotics and human-robot interaction focuses on identifying and predicting human behaviour while considering the information about the robot itself as g…