141 citations · 766 across the 81 of their papers we have counts for
20 papers · 1 filter
Quality-Aware Multimodal Biometric Recognition
Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani +3
We present a quality-aware multimodal recognition framework that combines representations from multiple biometric traits with varying quality and number of samples to achieve incre…
Morph Detection Enhanced by Structured Group Sparsity
Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani +2
In this paper, we consider the challenge of face morphing attacks, which substantially undermine the integrity of face recognition systems such as those adopted for use in border p…
Synthesis-Guided Feature Learning for Cross-Spectral Periocular Recognition
Domenick Poster, Nasser Nasrabadi
A common yet challenging scenario in periocular biometrics is cross-spectral matching - in particular, the matching of visible wavelength against near-infrared (NIR) periocular ima…
Human Age Estimation from Gene Expression Data using Artificial Neural Networks
Salman Mohamadi, Gianfranco. Doretto, Nasser M. Nasrabadi +1
The study of signatures of aging in terms of genomic biomarkers can be uniquely helpful in understanding the mechanisms of aging and developing models to accurately predict the age…
Adversarially Perturbed Wavelet-based Morphed Face Generation
Kelsey O'Haire, Sobhan Soleymani, Baaria Chaudhary +3
Morphing is the process of combining two or more subjects in an image in order to create a new identity which contains features of both individuals. Morphed images can fool Facial…
Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition
Veeru Talreja, Nasser M. Nasrabadi, Matthew C. Valenti
In recent years, periocular recognition has been developed as a valuable biometric identification approach, especially in wild environments (for example, masked faces due to COVID-…
Quality Map Fusion for Adversarial Learning
Uche Osahor, Nasser M. Nasrabadi
Generative adversarial models that capture salient low-level features which convey visual information in correlation with the human visual system (HVS) still suffer from perceptibl…
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning
Uche Osahor, Nasser M. Nasrabadi
In few-shot classification, the primary goal is to learn representations from a few samples that generalize well for novel classes. In this paper, we propose an efficient low displ…
Deep adversarial attack on target detection systems
Uche M. Osahor, Nasser M. Nasrabadi
Target detection systems identify targets by localizing their coordinates on the input image of interest. This is ideally achieved by labeling each pixel in an image as a backgroun…
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…
Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition
Moktari Mostofa, Salman Mohamadi, Jeremy Dawson +1
In recent years, cross-spectral iris recognition has emerged as a promising biometric approach to establish the identity of individuals. However, matching iris images acquired at d…
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…
Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN
Fariborz Taherkhani, Veeru Talreja, Jeremy Dawson +2
In recent years, with the advent of deep-learning, face recognition has achieved exceptional success. However, many of these deep face recognition models perform much better in han…
Attention Aware Wavelet-based Detection of Morphed Face Images
Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani +2
Morphed images have exploited loopholes in the face recognition checkpoints, e.g., Credential Authentication Technology (CAT), used by Transportation Security Administration (TSA),…
Differential Morph Face Detection using Discriminative Wavelet Sub-bands
Baaria Chaudhary, Poorya Aghdaie, Sobhan Soleymani +2
Face recognition systems are extremely vulnerable to morphing attacks, in which a morphed facial reference image can be successfully verified as two or more distinct identities. In…
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…
Detection of Morphed Face Images Using Discriminative Wavelet Sub-bands
Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani +2
This work investigates the well-known problem of morphing attacks, which has drawn considerable attention in the biometrics community. Morphed images have exposed face recognition…
HGAN: Hybrid Generative Adversarial Network
Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi
In this paper, we present a simple approach to train Generative Adversarial Networks (GANs) in order to avoid a \textit {mode collapse} issue. Implicit models such as GANs tend to…
Unsupervised Pixel-wise Hyperspectral Anomaly Detection via Autoencoding Adversarial Networks
Sertac Arisoy, Nasser M. Nasrabadi, Koray Kayabol
We propose a completely unsupervised pixel-wise anomaly detection method for hyperspectral images. The proposed method consists of three steps called data preparation, reconstructi…
A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset
Domenick Poster, Matthew Thielke, Robert Nguyen +8
Thermal face imagery, which captures the naturally emitted heat from the face, is limited in availability compared to face imagery in the visible spectrum. To help address this sca…