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20172022
most citedUnsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound

20 citations · 60 across the 24 of their papers we have counts for

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Showing 2018Show all

9 papers · 1 filter

cs.CV2018★ 20 cited

Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound

Hadi Kazemi, Sobhan Soleymani, Fariborz Taherkhani +2

Unsupervised image-to-image translation is a class of computer vision problems which aims at modeling conditional distribution of images in the target domain, given a set of unpair…

cs.LG2018

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…

eess.AS2018★ 5 cited

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…

cs.CV2018★ 3 cited

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…

cs.CV2018★ 3 cited

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…

cs.LG2018

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…

cs.LG2018

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…

cs.CV2018

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…

cs.LG2018★ 13 cited

Attention-Based Guided Structured Sparsity of Deep Neural Networks

Amirsina Torfi, Rouzbeh A. Shirvani, Sobhan Soleymani +1

Network pruning is aimed at imposing sparsity in a neural network architecture by increasing the portion of zero-valued weights for reducing its size regarding energy-efficiency co…