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

DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition.

K. Shaheed, A. Mao, I. Qureshi, M. Kumar, S. Hussain, I. Ullah, and X. Zhang. Expert Syst. Appl., (2022)

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.

Sumaira Umbreen

Shafaq Hussain

Daniel Hussain

Ibrar Hussain

Hussain Ali

Other publications of authors with the same name

A Discriminative Level Set Method with Deep Supervision for Breast Tumor Segmentation.S. Hussain, X. Xi, I. Ullah, S. Inam, F. Naz, K. Shaheed, S. Ali, and C. Tian. Comput. Biol. Medicine, (2022)AWANet: Attentive-Aware Wide-Kernels Asymmetrical Network with Blended Contour Information for Salient Object Detection.I. Ullah, M. Jian, K. Shaheed, S. Hussain, Y. Ma, L. Xu, and K. Muhammad. Sensors, 22 (24): 9667 (2022)A brief survey of visual saliency detection.I. Ullah, M. Jian, S. Hussain, J. Guo, H. Yu, X. Wang, and Y. Yin. Multim. Tools Appl., 79 (45-46): 34605-34645 (2020)Contextual Level-Set Method for Breast Tumor Segmentation.S. Hussain, X. Xi, I. Ullah, Y. Wu, C. Ren, Z. Lianzheng, C. Tian, and Y. Yin. IEEE Access, (2020)Re-ranking vehicle re-identification with orientation-guide query expansion.X. Zhang, X. Nie, Z. Sun, X. Li, C. Wang, P. Tao, and S. Hussain. Int. J. Distributed Sens. Networks, 18 (3): 155014772110663 (2022)Global context-aware multi-scale features aggregative network for salient object detection.I. Ullah, M. Jian, S. Hussain, L. Lian, Z. Ali, I. Qureshi, J. Guo, and Y. Yin. Neurocomputing, (2021)CMGNet: Context-aware middle-layer guidance network for salient object detection.I. Ullah, S. Hussain, K. Shaheed, W. Ali, S. Khan, Y. Yin, and Y. Ma. J. King Saud Univ. Comput. Inf. Sci., 36 (1): 101838 (January 2024)Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities.K. Shaheed, A. Mao, I. Qureshi, M. Kumar, S. Hussain, and X. Zhang. Inf. Fusion, (2022)DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition.K. Shaheed, A. Mao, I. Qureshi, M. Kumar, S. Hussain, I. Ullah, and X. Zhang. Expert Syst. Appl., (2022)Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors.S. Hussain, X. Xi, I. Ullah, S. Naim, K. Shaheed, C. Tian, and Y. Yin. Sci. China Inf. Sci., (February 2023)

BibSonomy

Disambiguation of "Hussain, Sumaira"

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

DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition.

Please choose a person to relate this publication to

Sumaira Umbreen

Shafaq Hussain

Daniel Hussain

Ibrar Hussain

Hussain Ali

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hussain, Sumaira"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition.

Please choose a person to relate this publication to

Sumaira Umbreen

Shafaq Hussain

Daniel Hussain

Ibrar Hussain

Hussain Ali

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

DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition.