141 citations · 766 across the 81 of their papers we have counts for
74 papers · 1 filter
Trading-off Mutual Information on Feature Aggregation for Face Recognition
Mohammad Akyash, Ali Zafari, Nasser M. Nasrabadi
Despite the advances in the field of Face Recognition (FR), the precision of these methods is not yet sufficient. To improve the FR performance, this paper proposes a technique to…
Towards Generalizable Morph Attack Detection with Consistency Regularization
Hossein Kashiani, Niloufar Alipour Talemi, Mohammad Saeed Ebrahimi Saadabadi +1
Though recent studies have made significant progress in morph attack detection by virtue of deep neural networks, they often fail to generalize well to unseen morph attacks. With n…
Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting
Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh +1
Deep convolutional neural networks have achieved remarkable success in face recognition (FR), partly due to the abundant data availability. However, the current training benchmarks…
CCFace: Classification Consistency for Low-Resolution Face Recognition
Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Hossein Kashiani +1
In recent years, deep face recognition methods have demonstrated impressive results on in-the-wild datasets. However, these methods have shown a significant decline in performance…
AAFACE: Attribute-aware Attentional Network for Face Recognition
Niloufar Alipour Talemi, Hossein Kashiani, Sahar Rahimi Malakshan +4
In this paper, we present a new multi-branch neural network that simultaneously performs soft biometric (SB) prediction as an auxiliary modality and face recognition (FR) as the ma…
Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation
Md Mahedi Hasan, Nasser Nasrabadi
We introduce caption-guided face recognition (CGFR) as a new framework to improve the performance of commercial-off-the-shelf (COTS) face recognition (FR) systems. In contrast to c…
A Quality Aware Sample-to-Sample Comparison for Face Recognition
Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Zafari +2
Currently available face datasets mainly consist of a large number of high-quality and a small number of low-quality samples. As a result, a Face Recognition (FR) network fails to…
Deep Transductive Transfer Learning for Automatic Target Recognition
Shoaib M. Sami, Nasser M. Nasrabadi, Raghuveer Rao
One of the major obstacles in designing an automatic target recognition (ATR) algorithm, is that there are often labeled images in one domain (i.e., infrared source domain) but no…
Landmark Enforcement and Style Manipulation for Generative Morphing
Samuel Price, Sobhan Soleymani, Nasser M. Nasrabadi
Morph images threaten Facial Recognition Systems (FRS) by presenting as multiple individuals, allowing an adversary to swap identities with another subject. Morph generation using…
Robust Ensemble Morph Detection with Domain Generalization
Hossein Kashiani, Shoaib Meraj Sami, Sobhan Soleymani +1
Although a substantial amount of studies is dedicated to morph detection, most of them fail to generalize for morph faces outside of their training paradigm. Moreover, recent morph…
Pose Attention-Guided Profile-to-Frontal Face Recognition
Moktari Mostofa, Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan +1
In recent years, face recognition systems have achieved exceptional success due to promising advances in deep learning architectures. However, they still fail to achieve expected a…
Information Maximization for Extreme Pose Face Recognition
Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Sobhan Soleymani +2
In this paper, we seek to draw connections between the frontal and profile face images in an abstract embedding space. We exploit this connection using a coupled-encoder network to…
Benchmarking Human Face Similarity Using Identical Twins
Shoaib Meraj Sami, John McCauley, Sobhan Soleymani +2
The problem of distinguishing identical twins and non-twin look-alikes in automated facial recognition (FR) applications has become increasingly important with the widespread adopt…
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…
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…
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…