8 citations · 34 across the 10 of their papers we have counts for
10 papers
HyRet-Change: A hybrid retentive network for remote sensing change detection
Mustansar Fiaz, Mubashir Noman, Hiyam Debary +2
Recently convolution and transformer-based change detection (CD) methods provide promising performance. However, it remains unclear how the local and global dependencies interact t…
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Asifullah Khan, Anabia Sohail, Mustansar Fiaz +11
Advances in deep learning are re-defining how visual data is processed and understand by the machines. Vision Transformers (ViTs) have recently demonstrated prominent performance i…
A Unified Transformer-based Network for multimodal Emotion Recognition
Kamran Ali, Charles E. Hughes
The development of transformer-based models has resulted in significant advances in addressing various vision and NLP-based research challenges. However, the progress made in trans…
An Efficient Integration of Disentangled Attended Expression and Identity FeaturesFor Facial Expression Transfer andSynthesis
Kamran Ali, Charles E. Hughes
In this paper, we present an Attention-based Identity Preserving Generative Adversarial Network (AIP-GAN) to overcome the identity leakage problem from a source image to a generate…
Facial Expression Representation Learning by Synthesizing Expression Images
Kamran Ali, Charles E. Hughes
Representations used for Facial Expression Recognition (FER) usually contain expression information along with identity features. In this paper, we propose a novel Disentangled Exp…
All-In-One: Facial Expression Transfer, Editing and Recognition Using A Single Network
Kamran Ali, Charles E. Hughes
In this paper, we present a unified architecture known as Transfer-Editing and Recognition Generative Adversarial Network (TER-GAN) which can be used: 1. to transfer facial express…
Facial Expression Recognition Using Human to Animated-Character Expression Translation
Kamran Ali, Ilkin Isler, Charles Hughes
Facial expression recognition is a challenging task due to two major problems: the presence of inter-subject variations in facial expression recognition dataset and impure expressi…
Facial Expression Recognition Using Disentangled Adversarial Learning
Kamran Ali, Charles E. Hughes
The representation used for Facial Expression Recognition (FER) usually contain expression information along with other variations such as identity and illumination. In this paper,…
Brain MRI Segmentation using Rule-Based Hybrid Approach
Mustansar Fiaz, Kamran Ali, Abdul Rehman +2
Medical image segmentation being a substantial component of image processing plays a significant role to analyze gross anatomy, to locate an infirmity and to plan the surgical proc…
A Reliabel and an efficient web testing system
Kamran Ali, Xia Xiaoling
To improve the reliability and efficiency of Web Software, the Testing Team should be creative and innovative. The experience and intuition of Tester also matters a lot and most of…