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Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval.

Y. Li, Y. Zhang, X. Huang, and J. Ma. IEEE Trans. Geoscience and Remote Sensing, 56 (11): 6521-6536 (2018)

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Hanbing Ma University of Stuttgart

Yuliang Ma University of Stuttgart

Walther Maier University of Stuttgart

Augmented reality to visualize a finite element analysis for assessing clamping conceptsW. Maier, H. Möhring, Q. Feng, and R. Wunderle. The International Journal of Advanced Manufacturing Technology, (Jun 7, 2024)

Dr. -Ing. Daniel Markthaler University of Stuttgart

Replication Data for: Biocatalytic stereocontrolled head-to-tail cyclizations of unbiased terpenes as a tool in chemoenzymatic synthesisN. Hansen, and D. Markthaler. Dataset, (2024)Related to: Schneider, Andreas; Lystbæk, Thomas B.; Markthaler, Daniel; Hansen, Niels; Hauer, Bernhard (2024): Biocatalytic stereocontrolled head-to-tail cyclizations of unbiased terpenes as a tool in chemoenzymatic synthesis. In: Nature Communications, 15, 4925. doi: 10.1038/s41467-024-48993-9.

Prof. Dr.-Ing. Thomas Maier Universität Stuttgart

Other publications of authors with the same name

LIPID: Local Image Permutation Interval Descriptor.T. Tian, I. Sethi, D. Ming, Y. Zhang, and J. Ma. ICMLA (2), page 513-518. IEEE, (2013)978-0-7695-5144-9.Non-rigid point set registration via coherent spatial mapping.J. Chen, J. Ma, C. Yang, L. Ma, and S. Zheng. Signal Processing, (2015)PFLD: A Practical Facial Landmark Detector.X. Guo, S. Li, J. Zhang, J. Ma, L. Ma, W. Liu, and H. Ling. CoRR, (2019)A robust and outlier-adaptive method for non-rigid point registration.Y. Gao, J. Ma, J. Zhao, J. Tian, and D. Zhang. Pattern Anal. Appl., 17 (2): 379-388 (2014)Non-rigid visible and infrared face registration via regularized Gaussian fields criterion.J. Ma, J. Zhao, Y. Ma, and J. Tian. Pattern Recognition, 48 (3): 772-784 (2015)Robust Sparse Hyperspectral Unmixing With ell2, 1 Norm.Y. Ma, C. Li, X. Mei, C. Liu, and J. Ma. IEEE Trans. Geoscience and Remote Sensing, 55 (3): 1227-1239 (2017)Hyperspectral Image Classification in the Presence of Noisy Labels.J. Jiang, J. Ma, Z. Wang, C. Chen, and X. Liu. IEEE Trans. Geoscience and Remote Sensing, 57 (2): 851-865 (2019)Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval.Y. Li, Y. Zhang, X. Huang, and J. Ma. IEEE Trans. Geoscience and Remote Sensing, 56 (11): 6521-6536 (2018)Robust feature matching via Gaussian field criterion for remote sensing image registration.Q. Ma, X. Du, J. Wang, Y. Ma, and J. Ma. J. Real-Time Image Processing, 15 (3): 523-536 (2018)Residual Learning for Face Sketch Synthesis.J. Jiang, Y. Yu, Z. Wang, and J. Ma. ICASSP, page 1952-1956. IEEE, (2018)

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Disambiguation of "Ma, Jiayi"

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Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval.

Please choose a person to relate this publication to

Hanbing Ma University of Stuttgart

Yuliang Ma University of Stuttgart

Walther Maier University of Stuttgart

Dr. -Ing. Daniel Markthaler University of Stuttgart

Prof. Dr.-Ing. Thomas Maier Universität Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Ma, Jiayi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval.

Please choose a person to relate this publication to

Hanbing Ma University of Stuttgart

Yuliang Ma University of Stuttgart

Walther Maier University of Stuttgart

Dr. -Ing. Daniel Markthaler University of Stuttgart

Prof. Dr.-Ing. Thomas Maier Universität Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval.