Search Results for author: Ali Dabouei

Found 27 papers, 4 papers with code

Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning

no code implementations ECCV 2020 Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi

Semi-Supervised Learning (SSL) based on Convolutional Neural Networks (CNNs) have recently been proven as powerful tools for standard tasks such as image classification when there is not a sufficient amount of labeled data available during the training.

Image Classification

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

no code implementations29 Jul 2021 Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi

To address this problem, we use a new Multi-Task Learning (MTL) paradigm in which a facial attribute predictor uses the knowledge of other related attributes to obtain a better generalization performance.

Multi-Task Learning

FDeblur-GAN: Fingerprint Deblurring using Generative Adversarial Network

no code implementations21 Jun 2021 Amol S. Joshi, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi

It is added to generate ridge maps to ensure that fingerprint information and minutiae are preserved in the deblurring process and prevent the model from generating erroneous minutiae.

Deblurring

Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification

no code implementations CVPR 2021 Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi

The goal is to use Wasserstein metric to provide pseudo labels for the unlabeled images to train a Convolutional Neural Networks (CNN) in a Semi-Supervised Learning (SSL) manner for the classification task.

Classification Self-Supervised Learning +1

Super-resolution Guided Pore Detection for Fingerprint Recognition

no code implementations10 Dec 2020 Syeda Nyma Ferdous, Ali Dabouei, Jeremy Dawson, Nasser M Nasrabadi

High recognition accuracy of the synthesized samples that is close to the accuracy achieved using the original high-resolution images validate the effectiveness of our proposed model.

Image Super-Resolution

Matching Distributions via Optimal Transport for Semi-Supervised Learning

no code implementations4 Dec 2020 Fariborz Taherkhani, Hadi Kazemi, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi

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 the course of training.

Image Classification

Differential Morphed Face Detection Using Deep Siamese Networks

no code implementations2 Dec 2020 Sobhan Soleymani, Baaria Chaudhary, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi

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 image can be verified as two or more separate identities.

Decision Making Face Detection

Mutual Information Maximization on Disentangled Representations for Differential Morph Detection

no code implementations2 Dec 2020 Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Jeremy Dawson, Nasser M. Nasrabadi

The network is trained by triplets of face images, in which the intermediate image inherits the landmarks from one image and the appearance from the other image.

Attribute Adaptive Margin Softmax Loss using Privileged Information

no code implementations4 Sep 2020 Seyed Mehdi Iranmanesh, Ali Dabouei, Nasser M. Nasrabadi

We present a novel framework to exploit privileged information for recognition which is provided only during the training phase.

Face Recognition Person Re-Identification

Efficient OCT Image Segmentation Using Neural Architecture Search

no code implementations28 Jul 2020 Saba Heidari Gheshlaghi, Omid Dehzangi, Ali Dabouei, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi

We incorporate the Unet architecture in the NAS framework as its backbone for the segmentation of the retinal layers in our collected and pre-processed OCT image dataset.

Neural Architecture Search Semantic Segmentation +1

Quality Guided Sketch-to-Photo Image Synthesis

1 code implementation20 Apr 2020 Uche Osahor, Hadi Kazemi, Ali Dabouei, Nasser Nasrabadi

We incorporate a hybrid discriminator which performs attribute classification of multiple target attributes, a quality guided encoder that minimizes the perceptual dissimilarity of the latent space embedding of the synthesized and real image at different layers in the network and an identity preserving network that maintains the identity of the synthesised image throughout the training process.

Image Generation

SuperMix: Supervising the Mixing Data Augmentation

1 code implementation CVPR 2021 Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Nasser M. Nasrabadi

In this paper, we propose a supervised mixing augmentation method, termed SuperMix, which exploits the knowledge of a teacher to mix images based on their salient regions.

Data Augmentation General Classification +2

Boosting Deep Face Recognition via Disentangling Appearance and Geometry

no code implementations13 Jan 2020 Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi

We demonstrate that the proposed approach enhances the performance of deep face recognition models by assisting the training process in two ways.

Face Recognition Transfer Learning

Adversarial Examples to Fool Iris Recognition Systems

no code implementations21 Jun 2019 Sobhan Soleymani, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi

Therefore, to compensate for this shortcoming, we propose to train a deep auto-encoder surrogate network to mimic the conventional iris code generation procedure.

Code Generation Iris Recognition

Fast Geometrically-Perturbed Adversarial Faces

1 code implementation24 Sep 2018 Ali Dabouei, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi

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 applications.

Face Recognition

ID Preserving Generative Adversarial Network for Partial Latent Fingerprint Reconstruction

no code implementations31 Jul 2018 Ali Dabouei, Sobhan Soleymani, Hadi Kazemi, Seyed Mehdi Iranmanesh, Jeremy Dawson, Nasser M. Nasrabadi

We achieved the rank-10 accuracy of 88. 02\% on the IIIT-Delhi latent fingerprint database for the task of latent-to-latent matching and rank-50 accuracy of 70. 89\% on the IIIT-Delhi MOLF database for the task of latent-to-sensor matching.

Deep Sketch-Photo Face Recognition Assisted by Facial Attributes

no code implementations31 Jul 2018 Seyed Mehdi Iranmanesh, Hadi Kazemi, Sobhan Soleymani, Ali Dabouei, Nasser M. Nasrabadi

The proposed Attribute-Assisted Deep Con- volutional Neural Network (AADCNN) method exploits the facial attributes and leverages the loss functions from the facial attributes identification and face verification tasks in order to learn rich discriminative features in a common em- bedding subspace.

Face Recognition Face Verification

Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification

no code implementations3 Jul 2018 Sobhan Soleymani, Ali Dabouei, Hadi Kazemi, Jeremy Dawson, Nasser M. Nasrabadi

Multiple features are extracted at several different convolutional layers from each modality-specific CNN for joint feature fusion, optimization, and classification.

General Classification Person Identification

Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition

no code implementations9 Apr 2018 Hadi Kazemi, Sobhan Soleymani, Ali Dabouei, Mehdi Iranmanesh, Nasser M. Nasrabadi

Specifically, an attribute-centered loss is proposed which learns several distinct centers, in a shared embedding space, for photos and sketches with different combinations of attributes.

Deep Cross Polarimetric Thermal-to-visible Face Recognition

no code implementations4 Jan 2018 Seyed Mehdi Iranmanesh, Ali Dabouei, Hadi Kazemi, Nasser M. Nasrabadi

we propose a coupled deep neural network architecture which leverages relatively large visible and thermal datasets to overcome the problem of overfitting and eventually we train it by a polarimetric thermal face dataset which is the first of its kind.

Face Recognition

Fingerprint Distortion Rectification using Deep Convolutional Neural Networks

no code implementations3 Jan 2018 Ali Dabouei, Hadi Kazemi, Seyed Mehdi Iranmanesh, Jeremi Dawson, Nasser M. Nasrabadi

Elastic distortion of fingerprints has a negative effect on the performance of fingerprint recognition systems.

Rectification

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