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

read it
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

read it
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

read it
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

read it
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images

Prevailing defense mechanisms against adversarial face images tend to ov...
11/28/2020 ∙ by Debayan Deb, et al. ∙ 41 ∙ share

read it
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

read it
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

read it
Trustworthy AI: A Computational Perspective

In the past few decades, artificial intelligence (AI) technology has exp...
07/12/2021 ∙ by Haochen Liu, et al. ∙ 35 ∙ share

read it
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

read it
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

read it
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

read it
Probabilistic Face Embeddings

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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
Fingerprint Spoof Generalization

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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
An Exploration of Exploration: Measuring the ability of lexicase selection to find obscure pathways to optimality

Parent selection algorithms (selection schemes) steer populations throug...
07/20/2021 ∙ by Jose Guadalupe Hernandez, et al. ∙ 12 ∙ share

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
Automated Self-Supervised Learning for Graphs

Graph self-supervised learning has gained increasing attention due to it...
06/10/2021 ∙ by Wei Jin, et al. ∙ 10 ∙ share

read it
AutoLoss: Automated Loss Function Search in Recommendations

Designing an effective loss function plays a crucial role in training de...
06/12/2021 ∙ by Xiangyu Zhao, et al. ∙ 10 ∙ share

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
Sketching Merge Trees for Scientific Data Visualization

Merge trees are a type of topological descriptors that record the connec...
01/08/2021 ∙ by Mingzhe Li, et al. ∙ 8 ∙ share

read it
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

read it

Michigan State University

Featured Researchers