Search Results for author: Anil K. Jain

Found 95 papers, 26 papers with code

GenPalm: Contactless Palmprint Generation with Diffusion Models

no code implementations1 Jun 2024 Steven A. Grosz, Anil K. Jain

The scarcity of large-scale palmprint databases poses a significant bottleneck to advancements in contactless palmprint recognition.

Synthetic Data Generation

Universal Fingerprint Generation: Controllable Diffusion Model with Multimodal Conditions

no code implementations21 Apr 2024 Steven A. Grosz, Anil K. Jain

The utilization of synthetic data for fingerprint recognition has garnered increased attention due to its potential to alleviate privacy concerns surrounding sensitive biometric data.

Mobile Contactless Palmprint Recognition: Use of Multiscale, Multimodel Embeddings

no code implementations16 Jan 2024 Steven A. Grosz, Akash Godbole, Anil K. Jain

Most prior work focuses on extracting global features or local features alone for palmprint matching, whereas this research introduces a novel framework that combines global and local features for enhanced palmprint matching accuracy.

Dimensionality Reduction TAR

AdvGen: Physical Adversarial Attack on Face Presentation Attack Detection Systems

no code implementations20 Nov 2023 Sai Amrit Patnaik, Shivali Chansoriya, Anil K. Jain, Anoop M. Namboodiri

We propose AdvGen, an automated Generative Adversarial Network, to simulate print and replay attacks and generate adversarial images that can fool state-of-the-art PADs in a physical domain attack setting.

Adversarial Attack Face Presentation Attack Detection +1

Accelerated Fingerprint Enhancement: A GPU-Optimized Mixed Architecture Approach

no code implementations1 Jun 2023 André Brasil Vieira Wyzykowski, Anil K. Jain

One innovative element of this approach includes a novel Fingerprint Enhancement Gabor layer, specifically designed for GPU computations.

A Universal Latent Fingerprint Enhancer Using Transformers

no code implementations31 May 2023 Andre Brasil Vieira Wyzykowski, Anil K. Jain

This study aims to develop a fast method, which we call ULPrint, to enhance various latent fingerprint types, including those obtained from real crime scenes and laboratory-created samples, to boost fingerprint recognition system performance.

ViT Unified: Joint Fingerprint Recognition and Presentation Attack Detection

no code implementations12 May 2023 Steven A. Grosz, Kanishka P. Wijewardena, Anil K. Jain

In this work, we leverage a vision transformer architecture for joint spoof detection and matching and report competitive results with state-of-the-art (SOTA) models for both a sequential system (two ViT models operating independently) and a unified architecture (a single ViT model for both tasks).

Child Palm-ID: Contactless Palmprint Recognition for Children

no code implementations9 May 2023 Akash Godbole, Steven A. Grosz, Anil K. Jain

Using a contactless child palmprint database, Child-PalmDB1, consisting of 19, 158 images from 1, 020 unique palms (in the age range of 6 mos.


Latent Fingerprint Recognition: Fusion of Local and Global Embeddings

no code implementations26 Apr 2023 Steven A. Grosz, Anil K. Jain

One of the most challenging problems in fingerprint recognition continues to be establishing the identity of a suspect associated with partial and smudgy fingerprints left at a crime scene (i. e., latent prints or fingermarks).

Child PalmID: Contactless Palmprint Recognition

no code implementations14 Dec 2022 Anil K. Jain, Akash Godbole, Anjoo Bhatnagar, Prem Sewak Sudhish

Developing and least developed countries face the dire challenge of ensuring that each child in their country receives required doses of vaccination, adequate nutrition and proper medication.


AFR-Net: Attention-Driven Fingerprint Recognition Network

no code implementations25 Nov 2022 Steven A. Grosz, Anil K. Jain

combining the complimentary representations of attention-based and CNN-based embeddings for improved state-of-the-art (SOTA) fingerprint recognition (both authentication and identification).

Minutiae-Guided Fingerprint Embeddings via Vision Transformers

no code implementations25 Oct 2022 Steven A. Grosz, Joshua J. Engelsma, Rajeev Ranjan, Naveen Ramakrishnan, Manoj Aggarwal, Gerard G. Medioni, Anil K. Jain

We further demonstrate that by guiding the ViT to focus in on local, minutiae related features, we can boost the recognition performance.


Learning an Ensemble of Deep Fingerprint Representations

no code implementations2 Sep 2022 Akash Godbole, Karthik Nandakumar, Anil K. Jain

While learning an ensemble of representations can mitigate this problem, two critical challenges need to be addressed: (i) How to extract multiple diverse representations from the same fingerprint image?

Representation Learning

Synthetic Latent Fingerprint Generator

no code implementations29 Aug 2022 Andre Brasil Vieira Wyzykowski, Anil K. Jain

Given a full fingerprint image (rolled or slap), we present CycleGAN models to generate multiple latent impressions of the same identity as the full print.

Data Augmentation Retrieval

On Demographic Bias in Fingerprint Recognition

no code implementations19 May 2022 Akash Godbole, Steven A. Grosz, Karthik Nandakumar, Anil K. Jain

Fingerprint recognition systems have been deployed globally in numerous applications including personal devices, forensics, law enforcement, banking, and national identity systems.

Fingerprint Template Invertibility: Minutiae vs. Deep Templates

no code implementations8 May 2022 Kanishka P. Wijewardena, Steven A. Grosz, Kai Cao, Anil K. Jain

We show that while a deep template can be inverted to produce a fingerprint image that could be matched to its source image, deep templates are more resistant to reconstruction attacks than minutiae templates.

TAR Vocal Bursts Type Prediction

SpoofGAN: Synthetic Fingerprint Spoof Images

no code implementations13 Apr 2022 Steven A. Grosz, Anil K. Jain

This work aims to demonstrate the utility of synthetic (both live and spoof) fingerprints in supplying these algorithms with sufficient data to improve the performance of fingerprint spoof detection algorithms beyond the capabilities when training on a limited amount of publicly available real datasets.

RealGait: Gait Recognition for Person Re-Identification

1 code implementation13 Jan 2022 Shaoxiong Zhang, Yunhong Wang, Tianrui Chai, Annan Li, Anil K. Jain

Given that our experimental results show that current gait recognition approaches designed under data collected in controlled scenarios are inappropriate for real surveillance scenarios, we propose a novel gait recognition method, called RealGait.

Gait Recognition Person Recognition +1

PrintsGAN: Synthetic Fingerprint Generator

no code implementations10 Jan 2022 Joshua J. Engelsma, Steven A. Grosz, Anil K. Jain

The publicly available datasets that do exist contain very few identities and impressions per finger.


Trustworthy AI: A Computational Perspective

no code implementations12 Jul 2021 Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang

In the past few decades, artificial intelligence (AI) technology has experienced swift developments, changing everyone's daily life and profoundly altering the course of human society.


Biometrics: Trust, but Verify

no code implementations14 May 2021 Anil K. Jain, Debayan Deb, Joshua J. Engelsma

Over the past two decades, biometric recognition has exploded into a plethora of different applications around the globe.


FedFace: Collaborative Learning of Face Recognition Model

no code implementations7 Apr 2021 Divyansh Aggarwal, Jiayu Zhou, Anil K. Jain

DNN-based face recognition models require large centrally aggregated face datasets for training.

Face Recognition Face Verification +1

C2CL: Contact to Contactless Fingerprint Matching

no code implementations6 Apr 2021 Steven A. Grosz, Joshua J. Engelsma, Eryun Liu, Anil K. Jain

Matching contactless fingerprints or finger photos to contact-based fingerprint impressions has received increased attention in the wake of COVID-19 due to the superior hygiene of the contactless acquisition and the widespread availability of low cost mobile phones capable of capturing photos of fingerprints with sufficient resolution for verification purposes.


Unified Detection of Digital and Physical Face Attacks

no code implementations5 Apr 2021 Debayan Deb, Xiaoming Liu, Anil K. Jain

Proposed UniFAD outperforms prevailing defense methods and their fusion with an overall TDR = 94. 73% @ 0. 2% FDR on a large fake face dataset consisting of 341K bona fide images and 448K attack images of 25 types across all 3 categories.

Clustering Multi-Task Learning

FaceGuard: A Self-Supervised Defense Against Adversarial Face Images

no code implementations28 Nov 2020 Debayan Deb, Xiaoming Liu, Anil K. Jain

During training, FaceGuard automatically synthesizes challenging and diverse adversarial attacks, enabling a classifier to learn to distinguish them from real faces and a purifier attempts to remove the adversarial perturbations in the image space.

Adversarial Attack Adversarial Defense +2

Lifting 2D StyleGAN for 3D-Aware Face Generation

1 code implementation CVPR 2021 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.

Face Generation

To be Robust or to be Fair: Towards Fairness in Adversarial Training

2 code implementations13 Oct 2020 Han Xu, Xiaorui Liu, Yaxin Li, Anil K. Jain, Jiliang Tang

However, we find that adversarial training algorithms tend to introduce severe disparity of accuracy and robustness between different groups of data.


Infant-ID: Fingerprints for Global Good

1 code implementation7 Oct 2020 Joshua J. Engelsma, Debayan Deb, Kai Cao, Anjoo Bhatnagar, Prem S. Sudhish, Anil K. Jain

In many of the least developed and developing countries, a multitude of infants continue to suffer and die from vaccine-preventable diseases and malnutrition.


White-Box Evaluation of Fingerprint Recognition Systems

no code implementations1 Aug 2020 Steven A. Grosz, Joshua J. Engelsma, Anil K. Jain

While a few studies have conducted white-box evaluations of the fingerprint reader, feature extractor, and matching components, no existing study has provided a full system, white-box analysis of the uncertainty introduced at each stage of a fingerprint recognition system.

Mitigating Face Recognition Bias via Group Adaptive Classifier

no code implementations CVPR 2021 Sixue Gong, Xiaoming Liu, Anil K. Jain

Our proposed group adaptive classifier mitigates bias by using adaptive convolution kernels and attention mechanisms on faces based on their demographic attributes.

Face Recognition

Look Locally Infer Globally: A Generalizable Face Anti-Spoofing Approach

no code implementations4 Jun 2020 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.

Computational Efficiency Face Anti-Spoofing

DashCam Pay: A System for In-vehicle Payments Using Face and Voice

no code implementations8 Apr 2020 Cori Tymoszek, Sunpreet S. Arora, Kim Wagner, Anil K. Jain

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.

Privacy Preserving

Fingerprint Presentation Attack Detection: A Sensor and Material Agnostic Approach

no code implementations6 Apr 2020 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 of accurate and efficient presentation attack detection (PAD) methods.

Representation Learning Style Transfer

HERS: Homomorphically Encrypted Representation Search

1 code implementation27 Mar 2020 Joshua J. Engelsma, Anil K. Jain, Vishnu Naresh Boddeti

We present a method to search for a probe (or query) image representation against a large gallery in the encrypted domain.

Image Retrieval

Child Face Age-Progression via Deep Feature Aging

no code implementations17 Mar 2020 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.

Face Recognition

Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data

no code implementations17 Mar 2020 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.

Domain Generalization Face Recognition

Fingerprint Spoof Detection: Temporal Analysis of Image Sequence

no code implementations17 Dec 2019 Tarang Chugh, Anil K. Jain

We utilize the dynamics involved in the imaging of a fingerprint on a touch-based fingerprint reader, such as perspiration, changes in skin color (blanching), and skin distortion, to differentiate real fingers from spoof (fake) fingers.

Fingerprint Synthesis: Search with 100 Million Prints

no code implementations16 Dec 2019 Vishesh Mistry, Joshua J. Engelsma, Anil K. Jain

Evaluation of large-scale fingerprint search algorithms has been limited due to lack of publicly available datasets.

Generative Adversarial Network

Universal Material Translator: Towards Spoof Fingerprint Generalization

no code implementations8 Dec 2019 Rohit Gajawada, Additya Popli, Tarang Chugh, Anoop Namboodiri, Anil K. Jain

Spoof detectors are classifiers that are trained to distinguish spoof fingerprints from bonafide ones.

Style Transfer

Fingerprint Spoof Generalization

no code implementations5 Dec 2019 Tarang Chugh, Anil K. Jain

The proposed approach is shown to improve the generalization performance of a state-of-the-art spoof detector, namely Fingerprint Spoof Buster, from TDR of 75. 24% to 91. 78% @ FDR = 0. 2%.

Style Transfer

Jointly De-biasing Face Recognition and Demographic Attribute Estimation

1 code implementation ECCV 2020 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 demographic groups.

Attribute Face Recognition

Finding Missing Children: Aging Deep Face Features

no code implementations18 Nov 2019 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.

Face Recognition

Learning a Fixed-Length Fingerprint Representation

no code implementations21 Sep 2019 Joshua J. Engelsma, Kai Cao, Anil K. Jain

DeepPrint incorporates fingerprint domain knowledge, including alignment and minutiae detection, into the deep network architecture to maximize the discriminative power of its representation.

Graph Matching Re-Ranking

Adversarial Attacks and Defenses in Images, Graphs and Text: A Review

4 code implementations17 Sep 2019 Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain

In this survey, we review the state of the art algorithms for generating adversarial examples and the countermeasures against adversarial examples, for the three popular data types, i. e., images, graphs and text.

Adversarial Attack

White-Box Evaluation of Fingerprint Matchers: Robustness to Minutiae Perturbations

no code implementations2 Sep 2019 Steven A. Grosz, Joshua J. Engelsma, Nicholas G. Paulter Jr., Anil K. Jain

While a few studies have conducted stand-alone evaluations of the fingerprint reader and feature extraction modules of fingerprint recognition systems, little work has been devoted towards white-box evaluations of the fingerprint matching module.

AdvFaces: Adversarial Face Synthesis

1 code implementation14 Aug 2019 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.

Face Generation Face Recognition

OCT Fingerprints: Resilience to Presentation Attacks

no code implementations31 Jul 2019 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 addition to imaging any fake layers (presentation attacks) placed over finger skin.

End-to-End Pore Extraction and Matching in Latent Fingerprints: Going Beyond Minutiae

no code implementations27 May 2019 Dinh-Luan Nguyen, Anil K. Jain

Because pores are one of the most reliable features besides minutiae to identify latent fingerprints, we propose an end-to-end automatic pore extraction and matching system to analyze the utility of pores in latent fingerprint identification.

Open-Ended Question Answering

Recurrent Embedding Aggregation Network for Video Face Recognition

no code implementations26 Apr 2019 Sixue Gong, Yichun Shi, Anil K. Jain

Recurrent networks have been successful in analyzing temporal data and have been widely used for video analysis.

Face Recognition

IJB–S: IARPA Janus Surveillance Video Benchmark

no code implementations25 Apr 2019 Nathan D. Kalka Noblis, Brianna Maze; James A. Duncan, Kevin O’Connor, Stephen Elliott, Kaleb Hebert, Julia Bryan, Anil K. Jain

We present IJB-S dataset, an open-source IARPA Janus Surveillance Video Benchmark and associated protocols.

Probabilistic Face Embeddings

1 code implementation ICCV 2019 Yichun Shi, Anil K. Jain

Embedding methods have achieved success in face recognition by comparing facial features in a latent semantic space.

 Ranked #1 on Face Verification on IJB-C (training dataset metric)

Face Recognition Face Verification

Fingerprints: Fixed Length Representation via Deep Networks and Domain Knowledge

no code implementations1 Apr 2019 Joshua J. Engelsma, Kai Cao, Anil K. Jain

We learn a discriminative fixed length feature representation of fingerprints which stands in contrast to commonly used unordered, variable length sets of minutiae points.

Infant-Prints: Fingerprints for Reducing Infant Mortality

1 code implementation1 Apr 2019 Joshua J. Engelsma, Debayan Deb, Anil K. Jain, Prem S. Sudhish, Anjoo Bhatnager

In developing countries around the world, a multitude of infants continue to suffer and die from vaccine-preventable diseases, and malnutrition.


Actions Speak Louder Than (Pass)words: Passive Authentication of Smartphone Users via Deep Temporal Features

no code implementations16 Jan 2019 Debayan Deb, Arun Ross, Anil K. Jain, Kwaku Prakah-Asante, K. Venkatesh Prasad

Prevailing user authentication schemes on smartphones rely on explicit user interaction, where a user types in a passcode or presents a biometric cue such as face, fingerprint, or iris.

Learning Continuous Face Age Progression: A Pyramid of GANs

no code implementations10 Jan 2019 Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain

The two underlying requirements of face age progression, i. e. aging accuracy and identity permanence, are not well studied in the literature.

Face Recognition Generative Adversarial Network +1

Fingerprint Presentation Attack Detection: Generalization and Efficiency

no code implementations30 Dec 2018 Tarang Chugh, Anil K. Jain

We study the problem of fingerprint presentation attack detection (PAD) under unknown PA materials not seen during PAD training.


WarpGAN: Automatic Caricature Generation

3 code implementations CVPR 2019 Yichun Shi, Debayan Deb, Anil K. Jain

We propose, WarpGAN, a fully automatic network that can generate caricatures given an input face photo.

Photo-To-Caricature Translation

Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning

no code implementations1 Nov 2018 Hu Han, Jie Li, Anil K. Jain, Shiguang Shan, Xilin Chen

To close the gap, we propose an efficient tattoo search approach that is able to learn tattoo detection and compact representation jointly in a single convolutional neural network (CNN) via multi-task learning.

Image Retrieval Multi-Task Learning +3

DocFace+: ID Document to Selfie Matching

1 code implementation15 Sep 2018 Yichun Shi, Anil K. Jain

Numerous activities in our daily life require us to verify who we are by showing our ID documents containing face images, such as passports and driver licenses, to human operators.


DocFace: Matching ID Document Photos to Selfies

1 code implementation6 May 2018 Yichun Shi, Anil K. Jain

Numerous activities in our daily life, including transactions, access to services and transportation, require us to verify who we are by showing our ID documents containing face images, e. g. passports and driver licenses.

Face Recognition TAR +1

Altered Fingerprints: Detection and Localization

no code implementations2 May 2018 Elham Tabassi, Tarang Chugh, Debayan Deb, Anil K. Jain

Fingerprint alteration, also referred to as obfuscation presentation attack, is to intentionally tamper or damage the real friction ridge patterns to avoid identification by an AFIS.

Friction Generative Adversarial Network

Latent Fingerprint Recognition: Role of Texture Template

2 code implementations27 Apr 2018 Kai Cao, Anil K. Jain

We propose a texture template approach, consisting of a set of virtual minutiae, to improve the overall latent fingerprint recognition accuracy.

Graph Matching Template Matching

Automatic Latent Fingerprint Segmentation

3 code implementations25 Apr 2018 Dinh-Luan Nguyen, Kai Cao, Anil K. Jain

We present a simple but effective method for automatic latent fingerprint segmentation, called SegFinNet.

Friction Segmentation

Fingerprint Match in Box

no code implementations23 Apr 2018 Joshua J. Engelsma, Kai Cao, Anil K. Jain

We open source fingerprint Match in Box, a complete end-to-end fingerprint recognition system embedded within a 4 inch cube.

Matching Fingerphotos to Slap Fingerprint Images

no code implementations22 Apr 2018 Debayan Deb, Tarang Chugh, Joshua Engelsma, Kai Cao, Neeta Nain, Jake Kendall, Anil K. Jain

We address the problem of comparing fingerphotos, fingerprint images from a commodity smartphone camera, with the corresponding legacy slap contact-based fingerprint images.


On the Intrinsic Dimensionality of Image Representations

2 code implementations CVPR 2019 Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain

This paper addresses the following questions pertaining to the intrinsic dimensionality of any given image representation: (i) estimate its intrinsic dimensionality, (ii) develop a deep neural network based non-linear mapping, dubbed DeepMDS, that transforms the ambient representation to the minimal intrinsic space, and (iii) validate the veracity of the mapping through image matching in the intrinsic space.


RaspiReader: Open Source Fingerprint Reader

1 code implementation26 Dec 2017 Joshua J. Engelsma, Kai Cao, Anil K. Jain

Finally, fingerprint matching experiments between images acquired from the FTIR output of RaspiReader and images acquired from a COTS reader verify the interoperability of the RaspiReader with existing COTS optical readers.

Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge

3 code implementations26 Dec 2017 Dinh-Luan Nguyen, Kai Cao, Anil K. Jain

Further, our method finds minutiae sets that are better in terms of precision and recall in comparison with state-of-the-art on these two datasets.

Fingerprint Spoof Buster

no code implementations12 Dec 2017 Tarang Chugh, Kai Cao, Anil K. Jain

Experimental results on three public-domain LivDet datasets (2011, 2013, and 2015) show that the proposed approach provides state-of-the-art accuracies in fingerprint spoof detection for intra-sensor, cross-material, cross-sensor, as well as cross-dataset testing scenarios.

Learning Face Age Progression: A Pyramid Architecture of GANs

1 code implementation CVPR 2018 Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain

The two underlying requirements of face age progression, i. e. aging accuracy and identity permanence, are not well studied in the literature.

Generative Adversarial Network

Longitudinal Study of Child Face Recognition

1 code implementation10 Nov 2017 Debayan Deb, Neeta Nain, Anil K. Jain

Face comparison scores are obtained from (i) a state-of-the-art COTS matcher (COTS-A), (ii) an open-source matcher (FaceNet), and (iii) a simple sum fusion of scores obtained from COTS-A and FaceNet matchers.

Face Recognition

On the Capacity of Face Representation

no code implementations29 Sep 2017 Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain

Numerical experiments on unconstrained faces (IJB-C) provides a capacity upper bound of $2. 7\times10^4$ for FaceNet and $8. 4\times10^4$ for SphereFace representation at a false acceptance rate (FAR) of 1%.

Face Recognition

RaspiReader: An Open Source Fingerprint Reader Facilitating Spoof Detection

no code implementations25 Aug 2017 Joshua J. Engelsma, Kai Cao, Anil K. Jain

Finally, fingerprint matching experiments between images acquired from the FTIR output of the RaspiReader and images acquired from a COTS fingerprint reader verify the interoperability of the RaspiReader with existing COTS optical readers.

Patient Subtyping via Time-Aware LSTM Networks

1 code implementation KDD '17 Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2017 Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou

We propose a patient subtyping model that leverages the proposed T-LSTM in an auto-encoder to learn a powerful single representation for sequential records of patients, which are then used to cluster patients into clinical subtypes.

Multivariate Time Series Forecasting

Automatic Face Image Quality Prediction

no code implementations29 Jun 2017 Lacey Best-Rowden, Anil K. Jain

Face image quality can be defined as a measure of the utility of a face image to automatic face recognition.

Face Image Quality Face Recognition

Face Clustering: Representation and Pairwise Constraints

no code implementations15 Jun 2017 Yichun Shi, Charles Otto, Anil K. Jain

Given this representation, we design a clustering algorithm, Conditional Pairwise Clustering (ConPaC), which directly estimates the adjacency matrix only based on the similarity between face images.

Clustering Face Clustering +2

Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach

no code implementations3 Jun 2017 Hu Han, Anil K. Jain, Fang Wang, Shiguang Shan, Xilin Chen

In DMTL, we tackle attribute correlation and heterogeneity with convolutional neural networks (CNNs) consisting of shared feature learning for all the attributes, and category-specific feature learning for heterogeneous attributes.

Attribute Facial Attribute Classification +4

Universal 3D Wearable Fingerprint Targets: Advancing Fingerprint Reader Evaluations

no code implementations22 May 2017 Joshua J. Engelsma, Sunpreet S. Arora, Anil K. Jain, Nicholas G. Paulter Jr

We present the design and manufacturing of high fidelity universal 3D fingerprint targets, which can be imaged on a variety of fingerprint sensing technologies, namely capacitive, contact-optical, and contactless-optical.

Automated Latent Fingerprint Recognition

2 code implementations6 Apr 2017 Kai Cao, Anil K. Jain

Experimental results show that the rank-1 identification accuracies (query latent is matched with its true mate in the reference database) are 64. 7% for the NIST SD27 and 75. 3% for the WVU latent databases, against a reference database of 100K rolled prints.

Asynchronous Multi-Task Learning

1 code implementation30 Sep 2016 Inci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou

The models for each hospital may be different because of the inherent differences in the distributions of the patient populations.

Multi-Task Learning

Clustering Millions of Faces by Identity

1 code implementation4 Apr 2016 Charles Otto, Dayong Wang, Anil K. Jain

Additionally, we present preliminary work on video frame clustering (achieving 0. 71 F-measure when clustering all frames in the benchmark YouTube Faces dataset).


Nonlinear Local Metric Learning for Person Re-identification

no code implementations16 Nov 2015 Siyuan Huang, Jiwen Lu, Jie zhou, Anil K. Jain

In this paper, we propose a nonlinear local metric learning (NLML) method to improve the state-of-the-art performance of person re-identification on public datasets.

Metric Learning Person Re-Identification

Face Search at Scale: 80 Million Gallery

no code implementations26 Jul 2015 Dayong Wang, Charles Otto, Anil K. Jain

We evaluate the proposed face search system on a gallery containing 80 million web-downloaded face images.

Face Recognition Face Verification

Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A

no code implementations CVPR 2015 Brendan F. Klare, Ben Klein, Emma Taborsky, Austin Blanton, Jordan Cheney, Kristen Allen, Patrick Grother, Alan Mah, Anil K. Jain

Key features of the IJB-A dataset are: (i) full pose variation, (ii) joint use for face recognition and face detection benchmarking, (iii) a mix of images and videos, (iv) wider geographic variation of subjects, (v) protocols supporting both open-set identification (1:N search) and verification (1:1 comparison), (vi) an optional protocol that allows modeling of gallery subjects, and (vii) ground truth eye and nose locations.

Benchmarking Face Detection +2

Biometrics for Child Vaccination and Welfare: Persistence of Fingerprint Recognition for Infants and Toddlers

no code implementations17 Apr 2015 Anil K. Jain, Sunpreet S. Arora, Lacey Best-Rowden, Kai Cao, Prem Sewak Sudhish, Anjoo Bhatnagar

However, persistence of biometric recognition accuracy has not been studied systematically for children in the age group of 0-4 years.

Scalable Kernel Clustering: Approximate Kernel k-means

no code implementations16 Feb 2014 Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain

Kernel-based clustering algorithms have the ability to capture the non-linear structure in real world data.


Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning

no code implementations NeurIPS 2012 Jinfeng Yi, Rong Jin, Shaili Jain, Tianbao Yang, Anil K. Jain

One difficulty in learning the pairwise similarity measure is that there is a significant amount of noise and inter-worker variations in the manual annotations obtained via crowdsourcing.

Clustering Computational Efficiency +2

Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition

no code implementations NeurIPS 2010 Serhat Bucak, Rong Jin, Anil K. Jain

Recent studies have shown that multiple kernel learning is very effective for object recognition, leading to the popularity of kernel learning in computer vision problems.

Object Object Recognition

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