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20172020
most citedUnsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound

20 citations · 42 across the 14 of their papers we have counts for

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12 papers · 1 filter

cs.CV2020★ 1 cited

Matching Distributions via Optimal Transport for Semi-Supervised Learning

Fariborz Taherkhani, Hadi Kazemi, Ali Dabouei +2

Semi-Supervised Learning (SSL) approaches have been an influential framework for the usage of unlabeled data when there is not a sufficient amount of labeled data available over th…

cs.CV2020

Quality Guided Sketch-to-Photo Image Synthesis

Uche Osahor, Hadi Kazemi, Ali Dabouei +1

Facial sketches drawn by artists are widely used for visual identification applications and mostly by law enforcement agencies, but the quality of these sketches depend on the abil…

cs.CV2020

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…

cs.CV2019

Identity-Aware Deep Face Hallucination via Adversarial Face Verification

Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi

In this paper, we address the problem of face hallucination by proposing a novel multi-scale generative adversarial network (GAN) architecture optimized for face verification. Firs…

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…

cs.CV2018

Unsupervised Facial Geometry Learning for Sketch to Photo Synthesis

Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi

Face sketch-photo synthesis is a critical application in law enforcement and digital entertainment industry where the goal is to learn the mapping between a face sketch image and i…

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…