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A benchmark for inpainting of clothing images with irregular holes
(Springer, 2020)
Fashion image understanding is an active research field with a large number of practical applications for the industry. Despite its practical impacts on intelligent fashion analysis systems, clothing image inpainting has ...
Uncertainty-aware deep classifiers using generative models
(Association for the Advancement of Artificial Intelligence, 2020)
Deep neural networks are often ignorant about what they do not know and overconfident when they make uninformed predictions. Some recent approaches quantify classification uncertainty directly by training the model to ...
Photon statistics effects on a QRNG of vacuum fluctuations
(Optica Publishing Group, 2020-09-14)
Optical scattering enhances randomness characteristics, increases the chaotic behavior of coherent sources, broadens the distribution of photon statistics and makes it super-Poissonian which allows faster sampling compared ...
Down-conversion emission profile characterisation via camera
(Optica Publishing Group, 2020-12-14)
We present a method to improve the brightness and collection efficiency of the spontaneous parametric down-conversion source by monitoring the mode shape using camera and correcting it with collection optics.
Entanglement demonstration on board a nano-satellite
(Optica Publishing Group, 2020)
Polarization entangled photon-pairs are generated and detected onboard a 3U CubeSat in low-Earth orbit that violate Bell’s inequality with a CHSH parameter of 2.60 ± 0.06. These results pave the way for space-based quantum ...
Optimal resource allocation and interference management for multi-user uplink light communication systems with angular diversity technology
(IEEE, 2020)
Light communication (LC) technology has been regarded as a promising candidate for future indoor wireless networks by providing safe, power-efficient, and high data rate communications needed for tomorrow's applications. ...
ACNMP: skill transfer and task extrapolation through learning from demonstration and reinforcement learning via representation sharing
(ML Research Press, 2020)
To equip robots with dexterous skills, an effective approach is to first transfer the desired skill via Learning from Demonstration (LfD), then let the robot improve it by self-exploration via Reinforcement Learning (RL). ...
Formation of nano-sized compounds during friction stir welding of Cu–Zn alloys: effect of tool composition
(Elsevier, 2020-12)
For the first time, the origin of tool composition effect on microstructure and mechanical properties of the friction stir welded joints has been disclosed. For this aim, nanoindentation, orientation image microscopy, and ...
Recent advances in simulating gas permeation through MOF membranes
(Royal Society Publishing, 2021-08-21)
In the last two decades, metal organic frameworks (MOFs) have gained increasing attention in membrane-based gas separations due to their tunable structural properties. Computational methods play a critical role in providing ...
Metal-organic frameworks for biomedical applications
(Elsevier, 2020)
Metal-organic frameworks (MOFs) have received significant interest in the recent years as promising candidates for biomedical applications due to their high porosities and tunable surface characteristics. The rational ...
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