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DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Computer Vision and Pattern Recognition, 2019Computer graphics, 3D computer vision and robotics communities have produced multiple approaches to representing 3D geometry for rendering and reconstruction. These provide trade-offs across fidelity, efficiency and compression capabilities. In this work,
Jeong Joon Park +4 more
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Distance Regularized Level Set Evolution and Its Application to Image Segmentation
IEEE Transactions on Image Processing, 2010Level set methods have been widely used in image processing and computer vision. In conventional level set formulations, the level set function typically develops irregularities during its evolution, which may cause numerical errors and eventually ...
Chunming Li, Chenyang Xu, C. Gui, M. Fox
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Overcoming the rate–distance limit of quantum key distribution without quantum repeaters
Nature, 2018Quantum key distribution (QKD)1,2 allows two distant parties to share encryption keys with security based on physical laws. Experimentally, QKD has been implemented via optical means, achieving key rates of 1.26 megabits per second over 50 kilometres of ...
Marco Lucamarini +3 more
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Long-distance quantum communication with atomic ensembles and linear optics
Nature, 2001Quantum communication holds promise for absolutely secure transmission of secret messages and the faithful transfer of unknown quantum states. Photonic channels appear to be very attractive for the physical implementation of quantum communication ...
L. Duan, M. Lukin, I. Cirac, P. Zoller
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Distance Metric Learning for Large Margin Nearest Neighbor Classification
Neural Information Processing Systems, 2005Kilian Q. Weinberger, L. Saul
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