Search Results for author: Seyed Mehdi Iranmanesh

Found 14 papers, 2 papers with code

HGAN: Hybrid Generative Adversarial Network

no code implementations7 Feb 2021 Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi

However, GANs overlook the explicit data density characteristics which leads to undesirable quantitative evaluations and mode collapse.

Density Estimation

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

Empirical Upper Bound in Object Detection and More

1 code implementation27 Nov 2019 Ali Borji, Seyed Mehdi Iranmanesh

Object detection remains as one of the most notorious open problems in computer vision.

Object Detection

Attribute-Guided Deep Polarimetric Thermal-to-visible Face Recognition

no code implementations27 Jul 2019 Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi

In this paper, we present an attribute-guided deep coupled learning framework to address the problem of matching polarimetric thermal face photos against a gallery of visible faces.

Face Recognition

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

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

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 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

3D Convolutional Neural Networks for Cross Audio-Visual Matching Recognition

2 code implementations18 Jun 2017 Amirsina Torfi, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi, Jeremy Dawson

We propose the use of a coupled 3D Convolutional Neural Network (3D-CNN) architecture that can map both modalities into a representation space to evaluate the correspondence of audio-visual streams using the learned multimodal features.

Speaker Verification Speech Recognition

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