141 citations · 766 across the 81 of their papers we have counts for
17 papers · 1 filter
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…
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…
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…
Fast Geometrically-Perturbed Adversarial Faces
Ali Dabouei, Sobhan Soleymani, Jeremy Dawson +1
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 applicatio…
Convolutional Neural Networks for Aerial Vehicle Detection and Recognition
Amir Soleimani, Nasser M. Nasrabadi, Elias Griffith +2
This paper investigates the problem of aerial vehicle recognition using a text-guided deep convolutional neural network classifier. The network receives an aerial image and a desir…
Prosodic-Enhanced Siamese Convolutional Neural Networks for Cross-Device Text-Independent Speaker Verification
Sobhan Soleymani, Ali Dabouei, Seyed Mehdi Iranmanesh +3
In this paper a novel cross-device text-independent speaker verification architecture is proposed. Majority of the state-of-the-art deep architectures that are used for speaker ver…
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…
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…
Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection
Amir Soleimani, Nasser M. Nasrabadi
The low resolution of objects of interest in aerial images makes pedestrian detection and action detection extremely challenging tasks. Furthermore, using deep convolutional neural…
Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification
Sobhan Soleymani, Ali Dabouei, Hadi Kazemi +2
In this paper, we propose a deep multimodal fusion network to fuse multiple modalities (face, iris, and fingerprint) for person identification. The proposed deep multimodal fusion…
Generalized Bilinear Deep Convolutional Neural Networks for Multimodal Biometric Identification
Sobhan Soleymani, Amirsina Torfi, Jeremy Dawson +1
In this paper, we propose to employ a bank of modality-dedicated Convolutional Neural Networks (CNNs), fuse, train, and optimize them together for person classification tasks. A mo…
A Deep Face Identification Network Enhanced by Facial Attributes Prediction
Fariborz Taherkhani, Nasser M. Nasrabadi, Jeremy Dawson
In this paper, we propose a new deep framework which predicts facial attributes and leverage it as a soft modality to improve face identification performance. Our model is an end t…
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…
Attention-Based Guided Structured Sparsity of Deep Neural Networks
Amirsina Torfi, Rouzbeh A. Shirvani, Sobhan Soleymani +1
Network pruning is aimed at imposing sparsity in a neural network architecture by increasing the portion of zero-valued weights for reducing its size regarding energy-efficiency co…
An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data
Oytun Ulutan, Benjamin S. Riggan, Nasser M. Nasrabadi +1
We propose a new order preserving bilinear framework that exploits low-resolution video for person detection in a multi-modal setting using deep neural networks. In this setting ca…
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…
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…