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09/02/2022
Revisiting Outer Optimization in Adversarial Training
Despite the fundamental distinction between adversarial and natural trai...
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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...
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12/10/2021
Quality-Aware Multimodal Biometric Recognition
We present a quality-aware multimodal recognition framework that combine...
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06/21/2021
FDeblur-GAN: Fingerprint Deblurring using Generative Adversarial Network
While working with fingerprint images acquired from crime scenes, mobile...
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12/10/2020
Super-resolution Guided Pore Detection for Fingerprint Recognition
Performance of fingerprint recognition algorithms substantially rely on ...
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12/04/2020
Matching Distributions via Optimal Transport for Semi-Supervised Learning
Semi-Supervised Learning (SSL) approaches have been an influential frame...
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12/02/2020
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
In this paper, we present a novel differential morph detection framework...
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12/02/2020
Differential Morphed Face Detection Using Deep Siamese Networks
Although biometric facial recognition systems are fast becoming part of ...
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09/04/2020
Attribute Adaptive Margin Softmax Loss using Privileged Information
We present a novel framework to exploit privileged information for recog...
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07/28/2020
Efficient OCT Image Segmentation Using Neural Architecture Search
In this work, we propose a Neural Architecture Search (NAS) for retinal ...
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03/10/2020
SuperMix: Supervising the Mixing Data Augmentation
In this paper, we propose a supervised mixing augmentation method, terme...
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01/13/2020
Boosting Deep Face Recognition via Disentangling Appearance and Geometry
In this paper, we propose a framework for disentangling the appearance a...
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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...
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10/08/2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Deep neural networks are susceptible to adversarial manipulations in the...
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08/08/2019
Defending Against Adversarial Iris Examples Using Wavelet Decomposition
Deep neural networks have presented impressive performance in biometric ...
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06/21/2019
Adversarial Examples to Fool Iris Recognition Systems
Adversarial examples have recently proven to be able to fool deep learni...
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09/24/2018
Fast Geometrically-Perturbed Adversarial Faces
The state-of-the-art performance of deep learning algorithms has led to ...
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07/31/2018
Deep Sketch-Photo Face Recognition Assisted by Facial Attributes
In this paper, we present a deep coupled framework to address the proble...
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07/31/2018
Prosodic-Enhanced Siamese Convolutional Neural Networks for Cross-Device Text-Independent Speaker Verification
In this paper a novel cross-device text-independent speaker verification...
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07/31/2018
ID Preserving Generative Adversarial Network for Partial Latent Fingerprint Reconstruction
Performing recognition tasks using latent fingerprint samples is often c...
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07/03/2018
Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification
In this paper, we propose a deep multimodal fusion network to fuse multi...
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04/09/2018
Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition
Face sketches are able to capture the spatial topology of a face while l...
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01/04/2018
Deep Cross Polarimetric Thermal-to-visible Face Recognition
In this paper, we present a deep coupled learning frame- work to address...
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01/03/2018