Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Learning Semantically Enhanced Feature for Fine-Grained Image Classification.

W. Luo, H. Zhang, J. Li, and X. Wei. IEEE Signal Process. Lett., (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Shuying Zhang

Fuqing Zhang

Yue Zhang

Other publications of authors with the same name

Locality-constrained group sparse coding regularized NMR for robust face recognition.H. Zhang, W. Luo, J. Yang, and L. Luo. ACPR, page 740-744. IEEE, (2015)Nonconvex L1/2- regularized nonlocal self-similarity denoiser for compressive sensing based CT reconstruction.Y. Li, Y. Jiang, H. Zhang, J. Liu, X. Ding, and G. Gui. J. Frankl. Inst., 360 (6): 4172-4195 (2023)Dual low-rank structure embedding for robust visual information processing.J. Zhou, H. Zhang, S. Li, B. Zhang, L. Fang, and D. Zhang. Knowl. Based Syst., (2024)Intrinsic-style distribution matching for arbitrary style transfer.M. Liu, S. Lin, H. Zhang, Z. Zha, and B. Wen. Knowl. Based Syst., (2024)A Survey on Knee-Oriented Multiobjective Evolutionary Optimization.G. Yu, L. Ma, Y. Jin, W. Du, Q. Liu, and H. Zhang. IEEE Trans. Evol. Comput., 26 (6): 1452-1472 (2022)Learning Semantically Enhanced Feature for Fine-Grained Image Classification.W. Luo, H. Zhang, J. Li, and X. Wei. IEEE Signal Process. Lett., (2020)Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise.H. Zhang, J. Yang, J. Qian, and W. Luo. Neurocomputing, (2017)Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications.H. Zhang, W. Du, X. Liu, B. Zhang, and F. Qian. ICCSIP, volume 1397 of Communications in Computer and Information Science, page 121-130. Springer, (2020)Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization.H. Zhang, W. Luo, W. Du, J. Qian, J. Yang, and B. Zhang. ICIG (2), volume 12889 of Lecture Notes in Computer Science, page 106-119. Springer, (2021)Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework.H. Zhang, J. Yang, J. Qian, C. Gong, X. Ning, Z. Zha, and B. Wen. Inf. Fusion, (2024)

BibSonomy

Disambiguation of "Zhang, Hengmin"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Learning Semantically Enhanced Feature for Fine-Grained Image Classification.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Fuqing Zhang

Yue Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Hengmin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning Semantically Enhanced Feature for Fine-Grained Image Classification.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Fuqing Zhang

Yue Zhang

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
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Learning Semantically Enhanced Feature for Fine-Grained Image Classification.