research
∙
09/19/2023
Multi-Context Dual Hyper-Prior Neural Image Compression
Transform and entropy models are the two core components in deep image c...
share
research
∙
09/19/2023
Multi-spectral Entropy Constrained Neural Compression of Solar Imagery
Missions studying the dynamic behaviour of the Sun are defined to captur...
research
∙
09/19/2023
Context-Aware Neural Video Compression on Solar Dynamics Observatory
NASA's Solar Dynamics Observatory (SDO) mission collects large data volu...
research
∙
08/20/2023
Towards Generalizable Morph Attack Detection with Consistency Regularization
Though recent studies have made significant progress in morph attack det...
research
∙
08/18/2023
Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting
Deep convolutional neural networks have achieved remarkable success in f...
research
∙
08/18/2023
CCFace: Classification Consistency for Low-Resolution Face Recognition
In recent years, deep face recognition methods have demonstrated impress...
research
∙
08/14/2023
AAFACE: Attribute-aware Attentional Network for Face Recognition
In this paper, we present a new multi-branch neural network that simulta...
research
∙
08/04/2023
Frequency Disentangled Features in Neural Image Compression
The design of a neural image compression network is governed by how well...
research
∙
06/06/2023
A Quality Aware Sample-to-Sample Comparison for Face Recognition
Currently available face datasets mainly consist of a large number of hi...
research
∙
05/23/2023
Deep Transductive Transfer Learning for Automatic Target Recognition
One of the major obstacles in designing an automatic target recognition ...
research
∙
10/18/2022
Landmark Enforcement and Style Manipulation for Generative Morphing
Morph images threaten Facial Recognition Systems (FRS) by presenting as ...
research
∙
10/12/2022
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory
NASA's Solar Dynamics Observatory (SDO) mission gathers 1.4 terabytes of...
research
∙
09/16/2022
Robust Ensemble Morph Detection with Domain Generalization
Although a substantial amount of studies is dedicated to morph detection...
research
∙
09/15/2022
Pose Attention-Guided Profile-to-Frontal Face Recognition
In recent years, face recognition systems have achieved exceptional succ...
research
∙
09/07/2022
Information Maximization for Extreme Pose Face Recognition
In this paper, we seek to draw connections between the frontal and profi...
research
∙
09/02/2022
Revisiting Outer Optimization in Adversarial Training
Despite the fundamental distinction between adversarial and natural trai...
research
∙
06/28/2022
GAN-based Super-Resolution and Segmentation of Retinal Layers in Optical coherence tomography Scans
In this paper, we design a Generative Adversarial Network (GAN)-based so...
research
∙
06/10/2022
Superresolution and Segmentation of OCT scans using Multi-Stage adversarial Guided Attention Training
Optical coherence tomography (OCT) is one of the non-invasive and easy-t...
research
∙
12/10/2021
Quality-Aware Multimodal Biometric Recognition
We present a quality-aware multimodal recognition framework that combine...
research
∙
11/29/2021
Morph Detection Enhanced by Structured Group Sparsity
In this paper, we consider the challenge of face morphing attacks, which...
research
∙
11/04/2021
Human Age Estimation from Gene Expression Data using Artificial Neural Networks
The study of signatures of aging in terms of genomic biomarkers can be u...
research
∙
11/03/2021
Adversarially Perturbed Wavelet-based Morphed Face Generation
Morphing is the process of combining two or more subjects in an image in...
research
∙
11/02/2021
Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition
In recent years, periocular recognition has been developed as a valuable...
research
∙
10/24/2021
Quality Map Fusion for Adversarial Learning
Generative adversarial models that capture salient low-level features wh...
research
∙
10/18/2021
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning
In few-shot classification, the primary goal is to learn representations...
research
∙
08/12/2021
Deep adversarial attack on target detection systems
Target detection systems identify targets by localizing their coordinate...
research
∙
08/03/2021
Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition
In recent years, cross-spectral iris recognition has emerged as a promis...
research
∙
07/29/2021
Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN
In recent years, with the advent of deep-learning, face recognition has ...
research
∙
06/29/2021
Attention Aware Wavelet-based Detection of Morphed Face Images
Morphed images have exploited loopholes in the face recognition checkpoi...
research
∙
06/24/2021
Differential Morph Face Detection using Discriminative Wavelet Sub-bands
Face recognition systems are extremely vulnerable to morphing attacks, i...
research
∙
06/21/2021
FDeblur-GAN: Fingerprint Deblurring using Generative Adversarial Network
While working with fingerprint images acquired from crime scenes, mobile...
research
∙
06/16/2021
Detection of Morphed Face Images Using Discriminative Wavelet Sub-bands
This work investigates the well-known problem of morphing attacks, which...
research
∙
02/07/2021
HGAN: Hybrid Generative Adversarial Network
In this paper, we present a simple approach to train Generative Adversar...
research
∙
01/07/2021
A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset
Thermal face imagery, which captures the naturally emitted heat from the...
research
∙
12/10/2020
Super-resolution Guided Pore Detection for Fingerprint Recognition
Performance of fingerprint recognition algorithms substantially rely on ...
research
∙
12/04/2020
Matching Distributions via Optimal Transport for Semi-Supervised Learning
Semi-Supervised Learning (SSL) approaches have been an influential frame...
research
∙
12/02/2020
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
In this paper, we present a novel differential morph detection framework...
research
∙
12/02/2020
Differential Morphed Face Detection Using Deep Siamese Networks
Although biometric facial recognition systems are fast becoming part of ...
research
∙
09/04/2020
Attribute Adaptive Margin Softmax Loss using Privileged Information
We present a novel framework to exploit privileged information for recog...
research
∙
07/28/2020
Efficient OCT Image Segmentation Using Neural Architecture Search
In this work, we propose a Neural Architecture Search (NAS) for retinal ...
research
∙
05/03/2020
Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network
In many domestic and military applications, aerial vehicle detection and...
research
∙
04/03/2020
Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval
Cross-modal hashing facilitates mapping of heterogeneous multimedia data...
research
∙
03/10/2020
SuperMix: Supervising the Mixing Data Augmentation
In this paper, we propose a supervised mixing augmentation method, terme...
research
∙
01/13/2020
Boosting Deep Face Recognition via Disentangling Appearance and Geometry
In this paper, we propose a framework for disentangling the appearance a...
research
∙
01/07/2020
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces
In this work, we present a practical approach to the problem of facial l...
research
∙
10/08/2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Deep neural networks are susceptible to adversarial manipulations in the...
research
∙
09/17/2019
Identity-Aware Deep Face Hallucination via Adversarial Face Verification
In this paper, we address the problem of face hallucination by proposing...
research
∙
08/08/2019
Defending Against Adversarial Iris Examples Using Wavelet Decomposition
Deep neural networks have presented impressive performance in biometric ...
research
∙
08/05/2019
Zero-Shot Deep Hashing and Neural Network Based Error Correction for Face Template Protection
In this paper, we present a novel architecture that integrates a deep ha...
research
∙
08/05/2019