Zobrazeno 1 - 10
of 274
pro vyhledávání: '"KHAN, NAZAR"'
Autor:
Akram, Arbish, Khan, Nazar
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
Encoder-decoder based architecture has been widely used in the generator of generative adversarial networks for facial manipulation. However, we observe that the current architecture fails to recover the input image color, rich facial details such as
Externí odkaz:
http://arxiv.org/abs/2303.17212
Autor:
Akram, Arbish, Khan, Nazar
Publikováno v:
Multimed Tools Appl (2023)
We demonstrate the benefit of using an ultimate skip (US) connection for facial expression synthesis using generative adversarial networks (GAN). A direct connection transfers identity, facial, and color details from input to output while suppressing
Externí odkaz:
http://arxiv.org/abs/2112.13002
Autor:
Anjum, Tayaba, Khan, Nazar
Recognition of Arabic-like scripts such as Persian and Urdu is more challenging than Latin-based scripts. This is due to the presence of a two-dimensional structure, context-dependent character shapes, spaces and overlaps, and placement of diacritics
Externí odkaz:
http://arxiv.org/abs/2111.03952
Autor:
Srivastava, Hari M.1,2,3,4,5,6 (AUTHOR), Khan, Nazar7 (AUTHOR), Bah, Muhtarr A.8 (AUTHOR) m.bah@utg.edu.gm, Alahmade, Ayman9 (AUTHOR), Tawfiq, Ferdous M. O.10 (AUTHOR), Syed, Zainab7 (AUTHOR)
Publikováno v:
Journal of Inequalities & Applications. 6/14/2024, Vol. 2024 Issue 1, p1-18. 18p.
Convolutional neural networks (CNN) are now being widely used for classifying and detecting pulmonary abnormalities in chest radiographs. Two complementary generalization properties of CNNs, translation invariance and equivariance, are particularly u
Externí odkaz:
http://arxiv.org/abs/2109.00573
Publikováno v:
International Journal of Computer Vision, vol 128, no 5, 2020
Compared to facial expression recognition, expression synthesis requires a very high-dimensional mapping. This problem exacerbates with increasing image sizes and limits existing expression synthesis approaches to relatively small images. We observe
Externí odkaz:
http://arxiv.org/abs/2011.09104
Autor:
Akram, Arbish, Khan, Nazar
Facial expression synthesis has achieved remarkable advances with the advent of Generative Adversarial Networks (GANs). However, GAN-based approaches mostly generate photo-realistic results as long as the testing data distribution is close to the tra
Externí odkaz:
http://arxiv.org/abs/2010.14397
Trust in predictions made by machine learning models is increased if the model generalizes well on previously unseen samples and when inference is accompanied by cogent explanations of the reasoning behind predictions. In the image classification dom
Externí odkaz:
http://arxiv.org/abs/2008.02866
Supermarkets need to ensure clean and safe environments for both shoppers and employees. Slips, trips, and falls can result in injuries that have a physical as well as financial cost. Timely detection of hazardous conditions such as spilled liquids o
Externí odkaz:
http://arxiv.org/abs/2003.04116
Autor:
Le, Quynh Hoang, Hussain, Zakir, Khan, Nazar, Zuev, Sergei, Javid, Khurram, Khan, Sami Ullah, Abdelmalek, Zahra, Tlili, Iskander
Publikováno v:
In Ain Shams Engineering Journal December 2023 14(12)