398 citations · 442 across the 7 of their papers we have counts for
8 papers
SARGAN: Spatial Attention-based Residuals for Facial Expression Manipulation
Arbish Akram, Nazar Khan
Encoder-decoder based architecture has been widely used in the generator of generative adversarial networks for facial manipulation. However, we observe that the current architectu…
US-GAN: On the importance of Ultimate Skip Connection for Facial Expression Synthesis
Arbish Akram, Nazar Khan
We demonstrate the benefit of using an ultimate skip (US) connection for facial expression synthesis using generative adversarial networks (GAN). A direct connection transfers iden…
Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks
Edward Verenich, Tobias Martin, Alvaro Velasquez +2
Convolutional neural networks (CNN) are now being widely used for classifying and detecting pulmonary abnormalities in chest radiographs. Two complementary generalization propertie…
Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis
Nazar Khan, Arbish Akram, Arif Mahmood +2
Compared to facial expression recognition, expression synthesis requires a very high-dimensional mapping. This problem exacerbates with increasing image sizes and limits existing e…
Pixel-based Facial Expression Synthesis
Arbish Akram, Nazar Khan
Facial expression synthesis has achieved remarkable advances with the advent of Generative Adversarial Networks (GANs). However, GAN-based approaches mostly generate photo-realisti…
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia
Edward Verenich, Alvaro Velasquez, Nazar Khan +1
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 explanation…
Hazard Detection in Supermarkets using Deep Learning on the Edge
M. G. Sarwar Murshed, Edward Verenich, James J. Carroll +2
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 co…
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou +3
Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous in recent years. This has led to the generation of large quantities of data in real-time, wh…