119 citations · 134 across the 20 of their papers we have counts for
7 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…
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…
Generalized Bilinear Deep Convolutional Neural Networks for Multimodal Biometric Identification
Sobhan Soleymani, Amirsina Torfi, Jeremy Dawson +1
In this paper, we propose to employ a bank of modality-dedicated Convolutional Neural Networks (CNNs), fuse, train, and optimize them together for person classification tasks. A mo…
A Deep Face Identification Network Enhanced by Facial Attributes Prediction
Fariborz Taherkhani, Nasser M. Nasrabadi, Jeremy Dawson
In this paper, we propose a new deep framework which predicts facial attributes and leverage it as a soft modality to improve face identification performance. Our model is an end t…