Fei Wang

Person-in-WiFi: Fine-grained Person Perception using WiFi

Fine-grained person perception such as body segmentation and pose estima...
03/30/2019 ∙ by Fei Wang, et al. ∙ 28 ∙ share

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Learning Reinforced Attentional Representation for End-to-End Visual Tracking

Despite the fact that tremendous advances have been made by numerous rec...
08/27/2019 ∙ by Peng Gao, et al. ∙ 14 ∙ share

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CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation

This paper proposes a novel cascaded U-Net for brain tumor segmentation....
07/17/2019 ∙ by Hongying Liu, et al. ∙ 12 ∙ share

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SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection

Deep convolutional neural network significantly boosted the capability o...
03/29/2019 ∙ by Sanping Zhou, et al. ∙ 10 ∙ share

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Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling

Ensembling deep learning models is a shortcut to promote its implementat...
03/25/2020 ∙ by Jun Yang, et al. ∙ 10 ∙ share

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Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

Recurrent Neural Networks (RNNs) and their variants, such as Long-Short ...
11/19/2018 ∙ by Yu Pan, et al. ∙ 8 ∙ share

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Gated Fusion Network for Degraded Image Super Resolution

Single image super resolution aims to enhance image quality with respect...
03/02/2020 ∙ by Xinyi Zhang, et al. ∙ 6 ∙ share

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GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet

Training a supernet matters for one-shot neural architecture search (NAS...
03/25/2020 ∙ by Shan You, et al. ∙ 6 ∙ share

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PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection

We propose a single-stage Human-Object Interaction (HOI) detection metho...
12/30/2019 ∙ by Yue Liao, et al. ∙ 4 ∙ share

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Non-technical Loss Detection with Statistical Profile Images Based on Semi-supervised Learning

In order to keep track of the operational state of power grid, the world...
07/09/2019 ∙ by Jiangteng Li, et al. ∙ 3 ∙ share

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A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation

Human gaze is essential for various appealing applications. Aiming at mo...
01/01/2020 ∙ by Yihua Cheng, et al. ∙ 3 ∙ share

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The Devil of Face Recognition is in the Noise

The growing scale of face recognition datasets empowers us to train stro...
07/31/2018 ∙ by Fei Wang, et al. ∙ 2 ∙ share

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CSI-Net: Unified Human Body Characterization and Action Recognition

Channel State Information (CSI) of WiFi signals becomes increasingly att...
10/07/2018 ∙ by Fei Wang, et al. ∙ 2 ∙ share

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Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models

Simultaneous inference after model selection is of critical importance t...
08/04/2019 ∙ by Fei Wang, et al. ∙ 2 ∙ share

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Joint Multi-frame Detection and Segmentation for Multi-cell Tracking

Tracking living cells in video sequence is difficult, because of cell mo...
06/26/2019 ∙ by Zibin Zhou, et al. ∙ 1 ∙ share

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Heuristic Search for Structural Constraints in Data Association

The research on multi-object tracking (MOT) is essentially to solve for ...
11/08/2017 ∙ by Xiao Zhou, et al. ∙ 0 ∙ share

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GaDei: On Scale-up Training As A Service For Deep Learning

Deep learning (DL) training-as-a-service (TaaS) is an important emerging...
11/18/2016 ∙ by Wei Zhang, et al. ∙ 0 ∙ share

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Google Map Aided Visual Navigation for UAVs in GPS-denied Environment

We propose a framework for Google Map aided UAV navigation in GPS-denied...
03/29/2017 ∙ by Mo Shan, et al. ∙ 0 ∙ share

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Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study

This paper presents Rudra, a parameter server based distributed computin...
09/14/2015 ∙ by Suyog Gupta, et al. ∙ 0 ∙ share

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ET-LDA: Joint Topic Modeling for Aligning Events and their Twitter Feedback

During broadcast events such as the Superbowl, the U.S. Presidential and...
11/13/2012 ∙ by Yuheng Hu, et al. ∙ 0 ∙ share

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ET-LDA: Joint Topic Modeling For Aligning, Analyzing and Sensemaking of Public Events and Their Twitter Feeds

Social media channels such as Twitter have emerged as popular platforms ...
10/08/2012 ∙ by Yuheng Hu, et al. ∙ 0 ∙ share

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Diffusion Adaptation Framework for Compressive Sensing Reconstruction

Compressive sensing(CS) has drawn much attention in recent years due to ...
12/03/2017 ∙ by Yicong He, et al. ∙ 0 ∙ share

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Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding

Minimizing adverse reactions caused by drug-drug interactions has always...
12/24/2017 ∙ by Meng Wang, et al. ∙ 0 ∙ share

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SPARTan: Scalable PARAFAC2 for Large & Sparse Data

In exploratory tensor mining, a common problem is how to analyze a set o...
03/13/2017 ∙ by Ioakeim Perros, et al. ∙ 0 ∙ share

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Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models

The surging availability of electronic medical records (EHR) leads to in...
02/13/2018 ∙ by Mengying Sun, et al. ∙ 0 ∙ share

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From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) Zero

Despite the recent successes of deep neural networks in various fields s...
02/14/2018 ∙ by Fei Wang, et al. ∙ 0 ∙ share

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Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links

Distributed estimation over networks draws much attraction in recent yea...
02/14/2018 ∙ by Yicong He, et al. ∙ 0 ∙ share

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Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Many classical Computer Vision problems, such as essential matrix comput...
03/21/2018 ∙ by Zheng Dang, et al. ∙ 0 ∙ share

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Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator

Deep learning has seen tremendous success over the past decade in comput...
03/27/2018 ∙ by Fei Wang, et al. ∙ 0 ∙ share

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Differentially Private Generative Adversarial Network

Generative Adversarial Network (GAN) and its variants have recently attr...
02/19/2018 ∙ by Liyang Xie, et al. ∙ 0 ∙ share

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Efficient Object Tracking based on Circular and Structural Multi-level Learners

We propose a novel efficient tracking framework. Firstly, we incorporate...
04/23/2018 ∙ by Peng Gao, et al. ∙ 0 ∙ share

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A Complementary Tracking Model with Multiple Features

Discriminative Correlation Filters (DCF)-based tracking algorithms explo...
04/20/2018 ∙ by Peng Gao, et al. ∙ 0 ∙ share

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Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization

Hypertension is a heterogeneous syndrome in need of improved subtyping u...
05/14/2018 ∙ by Yuan Luo, et al. ∙ 0 ∙ share

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Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders

Drug similarity has been studied to support downstream clinical tasks su...
04/28/2018 ∙ by Tengfei Ma, et al. ∙ 0 ∙ share

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Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease

Parkinson's Disease (PD) is one of the most prevalent neurodegenerative ...
05/22/2018 ∙ by Xi Zhang, et al. ∙ 0 ∙ share

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The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations

This paper presents details of our winning solutions to the task IV of N...
06/26/2018 ∙ by Xi Zhang, et al. ∙ 0 ∙ share

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Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking

Compared with visible object tracking, thermal infrared (TIR) object tra...
04/19/2018 ∙ by Peng Gao, et al. ∙ 0 ∙ share

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Gated Fusion Network for Joint Image Deblurring and Super-Resolution

Single-image super-resolution is a fundamental task for vision applicati...
07/27/2018 ∙ by Xinyi Zhang, et al. ∙ 0 ∙ share

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Model-Protected Multi-Task Learning

Multi-task learning (MTL) refers to the paradigm of learning multiple re...
09/18/2018 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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Integrative Analysis of Patient Health Records and Neuroimages via Memory-based GraphConvolutional Network

With the arrival of the big data era, more and more data are becoming re...
09/17/2018 ∙ by Xi Zhang, et al. ∙ 0 ∙ share

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Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk

ICU mortality risk prediction is a tough yet important task. On one hand...
09/27/2018 ∙ by Guoqing Chao, et al. ∙ 0 ∙ share

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WiPIN: Operation-free Person Identification using WiFi Signals

Person identification is critical for sensitive applications such as sys...
10/06/2018 ∙ by Fei Wang, et al. ∙ 0 ∙ share

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A Self-Organizing Tensor Architecture for Multi-View Clustering

In many real-world applications, data are often unlabeled and comprised ...
10/18/2018 ∙ by Lifang He, et al. ∙ 0 ∙ share

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Boosted Sparse and Low-Rank Tensor Regression

We propose a sparse and low-rank tensor regression model to relate a uni...
11/03/2018 ∙ by Lifang He, et al. ∙ 0 ∙ share

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Continuous User Authentication by Contactless Wireless Sensing

This paper presents BodyPIN, which is a continuous user authentication s...
12/04/2018 ∙ by Fei Wang, et al. ∙ 0 ∙ share

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A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care

In critical care, intensivists are required to continuously monitor high...
01/14/2019 ∙ by Ziyuan Pan, et al. ∙ 0 ∙ share

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Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding

Evaluating the clinical similarities between pairwise patients is a fund...
02/09/2019 ∙ by Zihao Zhu, et al. ∙ 0 ∙ share

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AutoGraph: Imperative-style Coding with Graph-based Performance

There is a perceived trade-off between machine learning code that is eas...
10/16/2018 ∙ by Dan Moldovan, et al. ∙ 0 ∙ share

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Can WiFi Estimate Person Pose?

WiFi human sensing has achieved great progress in indoor localization, a...
03/30/2019 ∙ by Fei Wang, et al. ∙ 0 ∙ share

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A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization

State-of-the-art studies have demonstrated the superiority of joint mode...
12/14/2018 ∙ by Sendong Zhao, et al. ∙ 0 ∙ share

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Fei Wang

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