Ahmed Shehab Khan
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View article: DRD-Net: Diabetic Retinopathy Diagnosis Using A Hybrid Convolutional Neural Network
DRD-Net: Diabetic Retinopathy Diagnosis Using A Hybrid Convolutional Neural Network Open
Diabetic Retinopathy (DR) has become a leading cause of blindness among diabetic patients. Accurate and timely diagnosis of DR is critical to slowing disease progression. This research proposes a Hybrid Convolutional Neural Network (CNN)-b…
View article: Hierarchical Feature Fusion With Inception V3 for Multiclass Plant Disease Classification
Hierarchical Feature Fusion With Inception V3 for Multiclass Plant Disease Classification Open
View article: Hybrid Machine Learning Model for Efficient Bonet Attack Detection
Hybrid Machine Learning Model for Efficient Bonet Attack Detection Open
With the rapid development of Internettechnology, cyber-attacks are becomingincreasingly sophisticated, with botnet attacksemerging as one of the most harmful threats.Botnet identification is challenging due to thewide range of attack vect…
View article: Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild
Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild Open
Emotion recognition plays an important role in human-computer interaction (HCI) and has been extensively studied for decades. Although tremendous improvements have been achieved for posed expressions, recognizing human emotions in "close-t…
View article: Identity-Free Facial Expression Recognition using conditional Generative Adversarial Network
Identity-Free Facial Expression Recognition using conditional Generative Adversarial Network Open
A novel Identity-Free conditional Generative Adversarial Network (IF-GAN) was proposed for Facial Expression Recognition (FER) to explicitly reduce high inter-subject variations caused by identity-related facial attributes, e.g., age, race…
View article: Group-Level Emotion Recognition using Deep Models with A Four-stream Hybrid Network
Group-Level Emotion Recognition using Deep Models with A Four-stream Hybrid Network Open
Group-level Emotion Recognition (GER) in the wild is a challenging task gaining lots of attention. Most recent works utilized two channels of information, a channel involving only faces and a channel containing the whole image, to solve th…
View article: Island Loss for Learning Discriminative Features in Facial Expression Recognition
Island Loss for Learning Discriminative Features in Facial Expression Recognition Open
Over the past few years, Convolutional Neural Networks (CNNs) have shown promise on facial expression recognition. However, the performance degrades dramatically under real-world settings due to variations introduced by subtle facial appea…
View article: Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition
Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition Open
Recognizing facial action units (AUs) from spontaneous facial expressions is still a challenging problem. Most recently, CNNs have shown promise on facial AU recognition. However, the learned CNNs are often overfitted and do not generalize…