304 citations · 1.1k across the 48 of their papers we have counts for
61 papers
AdaFace: Quality Adaptive Margin for Face Recognition
Minchul Kim, Anil K. Jain, Xiaoming Liu
Recognition in low quality face datasets is challenging because facial attributes are obscured and degraded. Advances in margin-based loss functions have resulted in enhanced discr…
PrintsGAN: Synthetic Fingerprint Generator
Joshua J. Engelsma, Steven A. Grosz, Anil K. Jain
A major impediment to researchers working in the area of fingerprint recognition is the lack of publicly available, large-scale, fingerprint datasets. The publicly available datase…
RealGait: Gait Recognition for Person Re-Identification
Shaoxiong Zhang, Yunhong Wang, Tianrui Chai +2
Human gait is considered a unique biometric identifier which can be acquired in a covert manner at a distance. However, models trained on existing public domain gait datasets which…
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images
Debayan Deb, Xiaoming Liu, Anil K. Jain
Prevailing defense mechanisms against adversarial face images tend to overfit to the adversarial perturbations in the training set and fail to generalize to unseen adversarial atta…
Lifting 2D StyleGAN for 3D-Aware Face Generation
Yichun Shi, Divyansh Aggarwal, Anil K. Jain
We propose a framework, called LiftedGAN, that disentangles and lifts a pre-trained StyleGAN2 for 3D-aware face generation. Our model is "3D-aware" in the sense that it is able to…
Infant-ID: Fingerprints for Global Good
Joshua J. Engelsma, Debayan Deb, Kai Cao +3
In many of the least developed and developing countries, a multitude of infants continue to suffer and die from vaccine-preventable diseases and malnutrition. Lamentably, the lack…
White-Box Evaluation of Fingerprint Recognition Systems
Steven A. Grosz, Joshua J. Engelsma, Anil K. Jain
Typical evaluations of fingerprint recognition systems consist of end-to-end black-box evaluations, which assess performance in terms of overall identification or authentication ac…
Look Locally Infer Globally: A Generalizable Face Anti-Spoofing Approach
Debayan Deb, Anil K. Jain
State-of-the-art spoof detection methods tend to overfit to the spoof types seen during training and fail to generalize to unknown spoof types. Given that face anti-spoofing is inh…
Mitigating Face Recognition Bias via Group Adaptive Classifier
Sixue Gong, Xiaoming Liu, Anil K. Jain
Face recognition is known to exhibit bias - subjects in a certain demographic group can be better recognized than other groups. This work aims to learn a fair face representation,…
Fingerprint Presentation Attack Detection: A Sensor and Material Agnostic Approach
Steven A. Grosz, Tarang Chugh, Anil K. Jain
The vulnerability of automated fingerprint recognition systems to presentation attacks (PA), i.e., spoof or altered fingers, has been a growing concern, warranting the development…
DashCam Pay: A System for In-vehicle Payments Using Face and Voice
Cori Tymoszek, Sunpreet S. Arora, Kim Wagner +1
We present our ongoing work on developing a system, called DashCam Pay, that enables in-vehicle payments in a seamless and secure manner using face and voice biometrics. A plug-and…
Child Face Age-Progression via Deep Feature Aging
Debayan Deb, Divyansh Aggarwal, Anil K. Jain
Given a gallery of face images of missing children, state-of-the-art face recognition systems fall short in identifying a child (probe) recovered at a later age. We propose a featu…
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data
Yichun Shi, Anil K. Jain
In recent years, significant progress has been made in face recognition, which can be partially attributed to the availability of large-scale labeled face datasets. However, since…
Towards Universal Representation Learning for Deep Face Recognition
Yichun Shi, Xiang Yu, Kihyuk Sohn +2
Recognizing wild faces is extremely hard as they appear with all kinds of variations. Traditional methods either train with specifically annotated variation data from target domain…
Fingerprint Spoof Generalization
Tarang Chugh, Anil K. Jain
We present a style-transfer based wrapper, called Universal Material Generator (UMG), to improve the generalization performance of any fingerprint spoof detector against spoofs mad…
Finding Missing Children: Aging Deep Face Features
Debayan Deb, Divyansh Aggarwal, Anil K. Jain
Given a gallery of face images of missing children, state-of-the-art face recognition systems fall short in identifying a child (probe) recovered at a later age. We propose an age-…
Jointly De-biasing Face Recognition and Demographic Attribute Estimation
Sixue Gong, Xiaoming Liu, Anil K. Jain
We address the problem of bias in automated face recognition and demographic attribute estimation algorithms, where errors are lower on certain cohorts belonging to specific demogr…
Learning a Fixed-Length Fingerprint Representation
Joshua J. Engelsma, Kai Cao, Anil K. Jain
We present DeepPrint, a deep network, which learns to extract fixed-length fingerprint representations of only 200 bytes. DeepPrint incorporates fingerprint domain knowledge, inclu…
White-Box Evaluation of Fingerprint Matchers: Robustness to Minutiae Perturbations
Steven A. Grosz, Joshua J. Engelsma, Nicholas G. Paulter +1
Prevailing evaluations of fingerprint recognition systems have been performed as end-to-end black-box tests of fingerprint identification or authentication accuracy. However, perfo…
AdvFaces: Adversarial Face Synthesis
Debayan Deb, Jianbang Zhang, Anil K. Jain
Face recognition systems have been shown to be vulnerable to adversarial examples resulting from adding small perturbations to probe images. Such adversarial images can lead state-…
OCT Fingerprints: Resilience to Presentation Attacks
Tarang Chugh, Anil K. Jain
Optical coherent tomography (OCT) fingerprint technology provides rich depth information, including internal fingerprint (papillary junction) and sweat (eccrine) glands, in additio…
End-to-End Pore Extraction and Matching in Latent Fingerprints: Going Beyond Minutiae
Dinh-Luan Nguyen, Anil K. Jain
Latent fingerprint recognition is not a new topic but it has attracted a lot of attention from researchers in both academia and industry over the past 50 years. With the rapid deve…
Recurrent Embedding Aggregation Network for Video Face Recognition
Sixue Gong, Yichun Shi, Anil K. Jain
Recurrent networks have been successful in analyzing temporal data and have been widely used for video analysis. However, for video face recognition, where the base CNNs trained on…
Probabilistic Face Embeddings
Yichun Shi, Anil K. Jain
Embedding methods have achieved success in face recognition by comparing facial features in a latent semantic space. However, in a fully unconstrained face setting, the facial feat…