activity
20182021
most citedAttribute Adaptive Margin Softmax Loss using Privileged Information

8 citations · 10 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

17 papers · 1 filter

cs.CV20212 cited

Tasks Structure Regularization in Multi-Task Learning for Improving Facial Attribute Prediction

Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani +2

The great success of Convolutional Neural Networks (CNN) for facial attribute prediction relies on a large amount of labeled images. Facial image datasets are usually annotated by…

cs.CV2021

Attribute Guided Sparse Tensor-Based Model for Person Re-Identification

Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani +2

Visual perception of a person is easily influenced by many factors such as camera parameters, pose and viewpoint variations. These variations make person Re-Identification (ReID) a…

cs.CV2021

FDeblur-GAN: Fingerprint Deblurring using Generative Adversarial Network

Amol S. Joshi, Ali Dabouei, Jeremy Dawson +1

While working with fingerprint images acquired from crime scenes, mobile cameras, or low-quality sensors, it becomes difficult for automated identification systems to verify the id…

cs.CV2020

Super-resolution Guided Pore Detection for Fingerprint Recognition

Syeda Nyma Ferdous, Ali Dabouei, Jeremy Dawson +1

Performance of fingerprint recognition algorithms substantially rely on fine features extracted from fingerprints. Apart from minutiae and ridge patterns, pore features have proven…

cs.CV2020

Differential Morphed Face Detection Using Deep Siamese Networks

Sobhan Soleymani, Baaria Chaudhary, Ali Dabouei +2

Although biometric facial recognition systems are fast becoming part of security applications, these systems are still vulnerable to morphing attacks, in which a facial reference i…

cs.CV2020

Mutual Information Maximization on Disentangled Representations for Differential Morph Detection

Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani +2

In this paper, we present a novel differential morph detection framework, utilizing landmark and appearance disentanglement. In our framework, the face image is represented in the…