20 citations · 60 across the 24 of their papers we have counts for
5 papers · 1 filter
Differential Morphed Face Detection Using Deep Siamese Networks
Sobhan Soleymani, Baaria Chaudhary, Ali Dabouei +2
Although biometric facial recognition systems are fast becoming part of security applications, these systems are still vulnerable to morphing attacks, in which a facial reference i…
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani +2
In this paper, we present a novel differential morph detection framework, utilizing landmark and appearance disentanglement. In our framework, the face image is represented in the…
SuperMix: Supervising the Mixing Data Augmentation
Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani +1
This paper presents a supervised mixing augmentation method termed SuperMix, which exploits the salient regions within input images to construct mixed training samples. SuperMix is…
Boosting Deep Face Recognition via Disentangling Appearance and Geometry
Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani +2
In this paper, we propose a framework for disentangling the appearance and geometry representations in the face recognition task. To provide supervision for this aim, we generate g…
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces
Seyed Mehdi Iranmanesh, Ali Dabouei, Sobhan Soleymani +2
In this work, we present a practical approach to the problem of facial landmark detection. The proposed method can deal with large shape and appearance variations under the rich sh…