Michigan State University

∙ East Lansing , United States ∙ 0 followers

Michigan State University is an educational institution that offers undergraduate, graduate, and research programs in the fields of business, humanities, science and technology, and public affairs. The schools and colleges of the university include College of Agriculture and Natural Resources, College of Arts and Letters, Eli Broad College of Business and The Eli Broad Graduate School of Management, College of Education, College of Human Ecology, College of Engineering, College of Human Medicine, College of Nursing, College of Osteopathic Medicine, College of Social Science, College of Veterinary Medicine, and College of Natural Science. Michigan State University was founded in 1855 and is based in East Lansing, Michigan.

Aging Deep Face Features: Finding Missing Children

Given a gallery of face images of missing children, state-of-the-art fac...
11/18/2019 ∙ by Debayan Deb, et al. ∙ 61 ∙ share

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Finding Missing Children: Aging Deep Face Features

Given a gallery of face images of missing children, state-of-the-art fac...
11/18/2019 ∙ by Debayan Deb, et al. ∙ 36 ∙ share

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Towards High-fidelity Nonlinear 3D Face Morphable Model

Embedding 3D morphable basis functions into deep neural networks opens g...
04/09/2019 ∙ by Luan Tran, et al. ∙ 30 ∙ share

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Using Persistent Homology to Quantify a Diurnal Cycle in Hurricane Felix

The diurnal cycle of tropical cyclones (TCs) is a daily cycle in clouds ...
02/17/2019 ∙ by Sarah Tymochko, et al. ∙ 24 ∙ share

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Probabilistic Face Embeddings

Embedding methods have achieved success in face recognition by comparing...
04/21/2019 ∙ by Yichun Shi, et al. ∙ 24 ∙ share

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Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study

Deep neural networks (DNNs) have achieved significant performance in var...
03/02/2020 ∙ by Wei Jin, et al. ∙ 24 ∙ share

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Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control

Reinforcement learning (RL) is a promising data-driven approach for adap...
03/11/2019 ∙ by Tianshu Chu, et al. ∙ 22 ∙ share

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Fingerprints: Fixed Length Representation via Deep Networks and Domain Knowledge

We learn a discriminative fixed length feature representation of fingerp...
04/01/2019 ∙ by Joshua J. Engelsma, et al. ∙ 18 ∙ share

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Learning a Fixed-Length Fingerprint Representation

We present DeepPrint, a deep network, which learns to extract fixed-leng...
09/21/2019 ∙ by Joshua J. Engelsma, et al. ∙ 17 ∙ share

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Recurrent Embedding Aggregation Network for Video Face Recognition

Recurrent networks have been successful in analyzing temporal data and h...
04/26/2019 ∙ by Sixue Gong, et al. ∙ 16 ∙ share

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FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers

Privacy concerns in the modern digital age have prompted researchers to ...
05/03/2019 ∙ by Vahid Mirjalili, et al. ∙ 16 ∙ share

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Fingerprint Spoof Generalization

We present a style-transfer based wrapper, called Universal Material Gen...
12/05/2019 ∙ by Tarang Chugh, et al. ∙ 13 ∙ share

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

Prevailing user authentication schemes on smartphones rely on explicit u...
01/16/2019 ∙ by Debayan Deb, et al. ∙ 12 ∙ share

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Can Transfer Entropy Infer Causality in Neuronal Circuits for Cognitive Processing?

Finding the causes to observed effects and establishing causal relations...
01/22/2019 ∙ by Ali Tehrani-Saleh, et al. ∙ 12 ∙ share

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Gait Recognition via Disentangled Representation Learning

Gait, the walking pattern of individuals, is one of the most important b...
04/09/2019 ∙ by Ziyuan Zhang, et al. ∙ 12 ∙ share

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Fingerprint Spoof Detection: Temporal Analysis of Image Sequence

We utilize the dynamics involved in the imaging of a fingerprint on a to...
12/17/2019 ∙ by Tarang Chugh, et al. ∙ 12 ∙ share

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Machine learning based non-Newtonian fluid model with molecular fidelity

We introduce a machine-learning-based framework for constructing continu...
03/07/2020 ∙ by Huan Lei, et al. ∙ 12 ∙ share

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On Learning Disentangled Representations for Gait Recognition

Gait, the walking pattern of individuals, is one of the important biomet...
09/05/2019 ∙ by Ziyuan Zhang, et al. ∙ 11 ∙ share

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Graph Similarity Using PageRank and Persistent Homology

The PageRank of a graph is a scalar function defined on the node set of ...
02/12/2020 ∙ by Mustafa Hajij, et al. ∙ 11 ∙ share

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

The explosive growth of digital images in video surveillance and social ...
11/01/2018 ∙ by Hu Han, et al. ∙ 10 ∙ share

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Deep Tree Learning for Zero-shot Face Anti-Spoofing

Face anti-spoofing is designed to keep face recognition systems from rec...
04/05/2019 ∙ by Yaojie Liu, et al. ∙ 10 ∙ share

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On Transfer Learning For Chatter Detection in Turning Using Wavelet Packet Transform and Empirical Mode Decomposition

The increasing availability of sensor data at machine tools makes automa...
05/03/2019 ∙ by Melih C. Yesilli, et al. ∙ 10 ∙ share

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Universal Material Translator: Towards Spoof Fingerprint Generalization

Spoof detectors are classifiers that are trained to distinguish spoof fi...
12/08/2019 ∙ by Rohit Gajawada, et al. ∙ 10 ∙ share

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DebFace: De-biasing Face Recognition

We address the problem of bias in automated face recognition algorithms,...
11/19/2019 ∙ by Sixue Gong, et al. ∙ 9 ∙ share

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Fingerprint Presentation Attack Detection: Generalization and Efficiency

We study the problem of fingerprint presentation attack detection (PAD) ...
12/30/2018 ∙ by Tarang Chugh, et al. ∙ 8 ∙ share

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Generalizing Fingerprint Spoof Detector: Learning a One-Class Classifier

Prevailing fingerprint recognition systems are vulnerable to spoof attac...
01/13/2019 ∙ by Joshua J. Engelsma, et al. ∙ 8 ∙ share

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Infant-Prints: Fingerprints for Reducing Infant Mortality

In developing countries around the world, a multitude of infants continu...
04/01/2019 ∙ by Joshua J. Engelsma, et al. ∙ 8 ∙ share

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FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization

This paper studies face recognition (FR) and normalization in surveillan...
11/26/2019 ∙ by Xi Yin, et al. ∙ 8 ∙ share

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A Non-Dominated Sorting Based Customized Random-Key Genetic Algorithm for the Bi-Objective Traveling Thief Problem

In this paper, we propose a method to solve a bi-objective variant of th...
02/11/2020 ∙ by Jonatas B. C. Chagas, et al. ∙ 8 ∙ share

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Child Face Age-Progression via Deep Feature Aging

Given a gallery of face images of missing children, state-of-the-art fac...
03/17/2020 ∙ by Debayan Deb, et al. ∙ 8 ∙ share

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Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping

Chatter detection from sensor signals has been an active field of resear...
08/05/2019 ∙ by Melih C. Yesilli, et al. ∙ 7 ∙ share

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Depth Coefficients for Depth Completion

Depth completion involves estimating a dense depth image from sparse dep...
03/13/2019 ∙ by Saif Imran, et al. ∙ 6 ∙ share

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Automated Non-Destructive Inspection of Fused Filament Fabrication Components Using Thermographic Signal Reconstruction

Manufacturers struggle to produce low-cost, robust and complex component...
07/05/2019 ∙ by Joshua E. Siegel, et al. ∙ 5 ∙ share

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Generalizing Face Representation with Unlabeled Data

In recent years, significant progress has been made in face recognition ...
03/17/2020 ∙ by Yichun Shi, et al. ∙ 5 ∙ share

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Face De-Spoofing: Anti-Spoofing via Noise Modeling

Many prior face anti-spoofing works develop discriminative models for re...
07/26/2018 ∙ by Amin Jourabloo, et al. ∙ 4 ∙ share

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Recurrent Flow-Guided Semantic Forecasting

Understanding the world around us and making decisions about the future ...
09/21/2018 ∙ by Adam M. Terwilliger, et al. ∙ 4 ∙ share

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3D Face Modeling from Diverse Raw Scan Data

Traditional 3D models learn a latent representation of faces using linea...
02/13/2019 ∙ by Feng Liu, et al. ∙ 4 ∙ share

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Bean Split Ratio for Dry Bean Canning Quality and Variety Analysis

Splits on canned beans appear in the process of preparation and canning....
05/01/2019 ∙ by Yunfei Long, et al. ∙ 4 ∙ share

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

Latent fingerprint recognition is not a new topic but it has attracted a...
05/27/2019 ∙ by Dinh-Luan Nguyen, et al. ∙ 4 ∙ share

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Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks)

Automated vehicles' neural networks suffer from overfit, poor generaliza...
03/24/2020 ∙ by Piyush Gupta, et al. ∙ 3 ∙ share

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On Learning 3D Face Morphable Model from In-the-wild Images

As a classic statistical model of 3D facial shape and albedo, 3D Morphab...
08/28/2018 ∙ by Luan Tran, et al. ∙ 2 ∙ share

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DocFace+: ID Document to Selfie Matching

Numerous activities in our daily life require us to verify who we are by...
09/15/2018 ∙ by Yichun Shi, et al. ∙ 2 ∙ share

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Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos

In recent years, heatmap regression based models have shown their effect...
11/01/2018 ∙ by Ying Tai, et al. ∙ 2 ∙ share

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End-to-End Latent Fingerprint Search

Latent fingerprints are one of the most important and widely used source...
12/26/2018 ∙ by Kai Cao, et al. ∙ 2 ∙ share

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Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN)

We propose a new approach to video face recognition. Our component-wise ...
02/19/2019 ∙ by Sixue Gong, et al. ∙ 2 ∙ share

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Declarative Learning-Based Programming as an Interface to AI Systems

Data-driven approaches are becoming more common as problem-solving techn...
06/18/2019 ∙ by Parisa Kordjamshidi, et al. ∙ 2 ∙ share

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OCT Fingerprints: Resilience to Presentation Attacks

Optical coherent tomography (OCT) fingerprint technology provides rich d...
07/31/2019 ∙ by Tarang Chugh, et al. ∙ 2 ∙ share

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AdvFaces: Adversarial Face Synthesis

Face recognition systems have been shown to be vulnerable to adversarial...
08/14/2019 ∙ by Debayan Deb, et al. ∙ 2 ∙ share

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Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples

Large facial variations are the main challenge in face recognition. To t...
02/10/2020 ∙ by Yuge Huang, et al. ∙ 2 ∙ share

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M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

Understanding the world in 3D is a critical component of urban autonomou...
07/13/2019 ∙ by Garrick Brazil, et al. ∙ 1 ∙ share

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Michigan State University

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