8 citations · 23 across the 22 of their papers we have counts for
8 papers · 1 filter
Fast Geometrically-Perturbed Adversarial Faces
Ali Dabouei, Sobhan Soleymani, Jeremy Dawson +1
The state-of-the-art performance of deep learning algorithms has led to a considerable increase in the utilization of machine learning in security-sensitive and critical applicatio…
Prosodic-Enhanced Siamese Convolutional Neural Networks for Cross-Device Text-Independent Speaker Verification
Sobhan Soleymani, Ali Dabouei, Seyed Mehdi Iranmanesh +3
In this paper a novel cross-device text-independent speaker verification architecture is proposed. Majority of the state-of-the-art deep architectures that are used for speaker ver…
Deep Sketch-Photo Face Recognition Assisted by Facial Attributes
Seyed Mehdi Iranmanesh, Hadi Kazemi, Sobhan Soleymani +2
In this paper, we present a deep coupled framework to address the problem of matching sketch image against a gallery of mugshots. Face sketches have the essential in- formation abo…
ID Preserving Generative Adversarial Network for Partial Latent Fingerprint Reconstruction
Ali Dabouei, Sobhan Soleymani, Hadi Kazemi +3
Performing recognition tasks using latent fingerprint samples is often challenging for automated identification systems due to poor quality, distortion, and partially missing infor…
Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification
Sobhan Soleymani, Ali Dabouei, Hadi Kazemi +2
In this paper, we propose a deep multimodal fusion network to fuse multiple modalities (face, iris, and fingerprint) for person identification. The proposed deep multimodal fusion…
Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition
Hadi Kazemi, Sobhan Soleymani, Ali Dabouei +2
Face sketches are able to capture the spatial topology of a face while lacking some facial attributes such as race, skin, or hair color. Existing sketch-photo recognition approache…