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.

Deep Learning in the Era of Edge Computing: Challenges and Opportunities

The era of edge computing has arrived. Although the Internet is the back...
10/17/2020 ∙ by Mi Zhang, et al. ∙ 74 ∙ share

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Transfer Learning in Deep Reinforcement Learning: A Survey

This paper surveys the field of transfer learning in the problem setting...
09/16/2020 ∙ by Zhuangdi Zhu, et al. ∙ 64 ∙ share

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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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DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses

DeepRobust is a PyTorch adversarial learning library which aims to build...
05/13/2020 ∙ by Yaxin Li, et al. ∙ 48 ∙ share

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XGNN: Towards Model-Level Explanations of Graph Neural Networks

Graphs neural networks (GNNs) learn node features by aggregating and com...
06/03/2020 ∙ by Hao Yuan, et al. ∙ 39 ∙ 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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Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

Existing Neural Architecture Search (NAS) methods either encode neural a...
06/12/2020 ∙ by Shen Yan, et al. ∙ 29 ∙ 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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Self-supervised Learning on Graphs: Deep Insights and New Direction

The success of deep learning notoriously requires larger amounts of cost...
06/17/2020 ∙ by Wei Jin, et al. ∙ 24 ∙ share

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CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

There have been significant advances in neural networks for both 3D obje...
09/02/2020 ∙ by Su Pang, et al. ∙ 23 ∙ 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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Wavelet Scattering Networks for Atomistic Systems with Extrapolation of Material Properties

The dream of machine learning in materials science is for a model to lea...
06/01/2020 ∙ by Paul Sinz, et al. ∙ 14 ∙ share

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Mitigating Face Recognition Bias via Group Adaptive Classifier

Face recognition is known to exhibit bias - subjects in certain demograp...
06/13/2020 ∙ by Sixue Gong, et al. ∙ 14 ∙ 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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Fairness Perception from a Network-Centric Perspective

Algorithmic fairness is a major concern in recent years as the influence...
10/07/2020 ∙ by Farzan Masrour, 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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Fingerprint Presentation Attack Detection: A Sensor and Material Agnostic Approach

The vulnerability of automated fingerprint recognition systems to presen...
04/06/2020 ∙ by Steven A. Grosz, 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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Look Locally Infer Globally: A Generalizable Face Anti-Spoofing Approach

State-of-the-art spoof detection methods tend to overfit to the spoof ty...
06/04/2020 ∙ by Debayan Deb, 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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White-Box Evaluation of Fingerprint Recognition Systems

Typical evaluations of fingerprint recognition systems consist of end-to...
08/01/2020 ∙ by Steven A. Grosz, 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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The Edge of Depth: Explicit Constraints between Segmentation and Depth

In this work we study the mutual benefits of two common computer vision ...
04/01/2020 ∙ by Shengjie Zhu, 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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Graph Structure Learning for Robust Graph Neural Networks

Graph Neural Networks (GNNs) are powerful tools in representation learni...
05/20/2020 ∙ by Wei Jin, 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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Michigan State University

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