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20172022
most citedFew-Shot Adversarial Domain Adaptation

207 citations · 398 across the 15 of their papers we have counts for

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Showing 2018Show all

8 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.CV2018

Style and Content Disentanglement in Generative Adversarial Networks

Hadi Kazemi, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi

Disentangling factors of variation within data has become a very challenging problem for image generation tasks. Current frameworks for training a Generative Adversarial Network (G…

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.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.CV2018

Deep Cross Polarimetric Thermal-to-visible Face Recognition

Seyed Mehdi Iranmanesh, Ali Dabouei, Hadi Kazemi +1

In this paper, we present a deep coupled learning frame- work to address the problem of matching polarimetric ther- mal face photos against a gallery of visible faces. Polariza- ti…

cs.CV2018

Fingerprint Distortion Rectification using Deep Convolutional Neural Networks

Ali Dabouei, Hadi Kazemi, Seyed Mehdi Iranmanesh +2

Elastic distortion of fingerprints has a negative effect on the performance of fingerprint recognition systems. This negative effect brings inconvenience to users in authentication…