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Di Liu University of Stuttgart

Data for: The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics. Dataset, (2024)Related to: Di Liu, Florian Kaiser, Vladislav Bushmakin, Erik Hesselmeier, Timo Steidl, Takeshi Ohshima, Nguyen Tien Son, Jawad Ul-Hassan, Öney O. Soykal, Jörg Wrachtrup (2023). The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics. arXiv preprint. arXiv: 2307.13648.
 

Other publications of authors with the same name

Robust adaptive beam forming against random calibration error via interference-plus-noise covariance matrix reconstruction., , , and . Signal Processing, (2019)Three dimensional compressive sensing in MIMO radar., , , , and . ACSSC, page 599-603. IEEE, (2015)Robust Adaptive Wideband Beamforming Against Direction and Sensor Location Errors., , , and . CSSP, 38 (2): 664-681 (2019)Robust Adaptive Wideband Beamforming Based on Time Frequency Distribution., , , and . IEEE Trans. Signal Processing, 67 (16): 4370-4382 (2019)Image Forgery Localization based on Multi-Scale Convolutional Neural Networks., , , and . IH&MMSec, page 85-90. ACM, (2018)Adaptive spatial steganography based on adversarial examples., , and . Multimedia Tools Appl., 78 (22): 32503-32522 (2019)Residual Invertible Spatio-Temporal Network for Video Super-Resolution., , , , , and . AAAI, page 5981-5988. AAAI Press, (2019)The attitudes of LIS chairs toward the iSchools movement in China: A contemporary grounded theory analysis., , , , , and . Aslib Proceedings, 64 (6): 591-614 (2012)Copy-move forgery detection based on convolutional kernel network., , and . Multimedia Tools Appl., 77 (14): 18269-18293 (2018)Adversarial Learning for Image Forensics Deep Matching with Atrous Convolution., , , and . CoRR, (2018)