21 citations · 62 across the 8 of their papers we have counts for
9 papers
A hardware efficient quantum residual neural network without post-selection
Amena Khatun, Akib Karim, Muhammad Usman
We propose a hardware efficient quantum residual neural network which implements residual connections through a deterministic mixture of the identity operation and variational unit…
Adversarially Robust Quantum Transfer Learning
Amena Khatun, Muhammad Usman
Quantum machine learning (QML) has emerged as a promising area of research for enhancing the performance of classical machine learning systems by leveraging quantum computational p…
Classical Autoencoder Distillation of Quantum Adversarial Manipulations
Amena Khatun, Muhammad Usman
Quantum neural networks have been proven robust against classical adversarial attacks, but their vulnerability against quantum adversarial attacks is still a challenging problem. H…
Quantum Generative Learning for High-Resolution Medical Image Generation
Amena Khatun, Kübra Yeter Aydeniz, Yaakov S. Weinstein +1
Integration of quantum computing in generative machine learning models has the potential to offer benefits such as training speed-up and superior feature extraction. However, the e…
Quantum Transfer Learning with Adversarial Robustness for Classification of High-Resolution Image Datasets
Amena Khatun, Muhammad Usman
The application of quantum machine learning to large-scale high-resolution image datasets is not yet possible due to the limited number of qubits and relatively high level of noise…
Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification
Amena Khatun, Simon Denman, Sridha Sridharan +1
In a real world environment, person re-identification (Re-ID) is a challenging task due to variations in lighting conditions, viewing angles, pose and occlusions. Despite recent pe…
Pose-driven Attention-guided Image Generation for Person Re-Identification
Amena Khatun, Simon Denman, Sridha Sridharan +1
Person re-identification (re-ID) concerns the matching of subject images across different camera views in a multi camera surveillance system. One of the major challenges in person…
End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification
Amena Khatun, Simon Denman, Sridha Sridharan +1
Person re-identification (re-ID) remains challenging in a real-world scenario, as it requires a trained network to generalise to totally unseen target data in the presence of varia…
A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-detection
Amena Khatun, Simon Denman, Sridha Sridharan +1
State-of-the-art person re-identification systems that employ a triplet based deep network suffer from a poor generalization capability. In this paper, we propose a four stream Sia…