337 citations · 512 across the 24 of their papers we have counts for
7 papers · 1 filter
Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition
Jiazhi Li, Wael Abd-Almageed
As equality issues in the use of face recognition have garnered a lot of attention lately, greater efforts have been made to debiased deep learning models to improve fairness to mi…
Explaining Face Presentation Attack Detection Using Natural Language
Hengameh Mirzaalian, Mohamed E. Hussein, Leonidas Spinoulas +2
A large number of deep neural network based techniques have been developed to address the challenging problem of face presentation attack detection (PAD). Whereas such techniques'…
Partner-Assisted Learning for Few-Shot Image Classification
Jiawei Ma, Hanchen Xie, Guangxing Han +3
Few-shot Learning has been studied to mimic human visual capabilities and learn effective models without the need of exhaustive human annotation. Even though the idea of meta-learn…
Introducing the DOME Activation Functions
Mohamed E. Hussein, Wael AbdAlmageed
In this paper, we introduce a novel non-linear activation function that spontaneously induces class-compactness and regularization in the embedding space of neural networks. The fu…
BioFors: A Large Biomedical Image Forensics Dataset
Ekraam Sabir, Soumyaroop Nandi, Wael AbdAlmageed +1
Research in media forensics has gained traction to combat the spread of misinformation. However, most of this research has been directed towards content generated on social media.…
SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation
Jiaxin Cheng, Soumyaroop Nandi, Prem Natarajan +1
Unlike conventional zero-shot classification, zero-shot semantic segmentation predicts a class label at the pixel level instead of the image level. When solving zero-shot semantic…