1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Survey on Self-supervised Representation Learning Using Image Transformations
Muhammad Ali, Sayed Hashim
Deep neural networks need huge amount of training data, while in real world there is a scarcity of data available for training purposes. To resolve these issues, self-supervised le…
cs.CV2022
TransformNet: Self-supervised representation learning through predicting geometric transformations
Sayed Hashim, Muhammad Ali
Deep neural networks need a big amount of training data, while in the real world there is a scarcity of data available for training purposes. To resolve this issue unsupervised met…
cs.CV2017★ 1 cited
Locality Preserving Projections for Grassmann manifold
Boyue Wang, Yongli Hu, Junbin Gao +3
Learning on Grassmann manifold has become popular in many computer vision tasks, with the strong capability to extract discriminative information for imagesets and videos. However,…