Search Results for author: Hadi Kazemi

Found 16 papers, 2 papers with code

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

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

Identity-Aware Deep Face Hallucination via Adversarial Face Verification

no code implementations17 Sep 2019 Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi

First, we propose a multi-scale generator architecture for face hallucination with a high up-scaling ratio factor, which has multiple intermediate outputs at different resolutions.

Face Hallucination Face Verification

A data-driven proxy to Stoke's flow in porous media

1 code implementation25 Apr 2019 Ali Takbiri-Borujeni, Hadi Kazemi, Nasser Nasrabadi

To develop the model, the detailed pore space geometry and simulation runs data from 3500 two-dimensional high-fidelity Lattice Boltzmann simulation runs are used to train and to predict the solutions with a high accuracy in much less computational time.

Style and Content Disentanglement in Generative Adversarial Networks

no code implementations14 Nov 2018 Hadi Kazemi, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi

This paper describes the Style and Content Disentangled GAN (SC-GAN), a new unsupervised algorithm for training GANs that learns disentangled style and content representations of the data.

Image Generation

Unsupervised Facial Geometry Learning for Sketch to Photo Synthesis

no code implementations12 Oct 2018 Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi

In contrast to current unsupervised image-to-image translation techniques, our framework leverages a novel perceptual discriminator to learn the geometry of human face.

Unsupervised Image-To-Image Translation

A Learning-Based Framework for Two-Dimensional Vehicle Maneuver Prediction over V2V Networks

no code implementations1 Aug 2018 Hossein Nourkhiz Mahjoub, Amin Tahmasbi-Sarvestani, Hadi Kazemi, Yaser P. Fallah

For non-ideal case, an estimation step is included in the framework before the parameter prediction block to handle the drawbacks of packet drops or sensor failures and reconstruct the time series of vehicle parameters at a desirable frequency.

Time Series Time Series Prediction +1

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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