b'Jie Chen'

Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues

Near infrared (NIR) imaging has been widely applied in low-light imaging...
07/20/2021 ∙ by Xingxing Yang, et al. ∙ 11 ∙ share

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Efficient proximal gradient algorithms for joint graphical lasso

We consider learning an undirected graphical model from sparse data. Whi...
07/16/2021 ∙ by Jie Chen, et al. ∙ 21 ∙ share

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Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration

High Dynamic Range (HDR) imaging via multi-exposure fusion is an importa...
07/13/2021 ∙ by Jie Chen, et al. ∙ 4 ∙ share

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CentripetalText: An Efficient Text Instance Representation for Scene Text Detection

Scene text detection remains a grand challenge due to the variation in t...
07/13/2021 ∙ by Tao Sheng, et al. ∙ 7 ∙ share

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Distributed stochastic gradient tracking algorithm with variance reduction for non-convex optimization

This paper proposes a distributed stochastic algorithm with variance red...
06/28/2021 ∙ by Xia Jiang, et al. ∙ 0 ∙ share

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Graph coarsening: From scientific computing to machine learning

The general method of graph coarsening or graph reduction has been a rem...
06/22/2021 ∙ by Jie Chen, et al. ∙ 6 ∙ share

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Sparse Linear Spectral Unmixing of Hyperspectral images using Expectation-Propagation

This paper presents a novel Bayesian approach for hyperspectral image un...
06/18/2021 ∙ by Zeng Li, et al. ∙ 0 ∙ share

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Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering

Image-based geometric modeling and novel view synthesis based on sparse,...
06/17/2021 ∙ by Wenpeng Xing, et al. ∙ 4 ∙ share

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GearV: A Two-Gear Hypervisor for Mixed-Criticality IoT Systems

This paper presents GearV, a two-gear lightweight hypervisor architectur...
06/05/2021 ∙ by Kaiwen Long, et al. ∙ 0 ∙ share

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Composition and Application of Current Advanced Driving Assistance System: A Review

Due to the growing awareness of driving safety and the development of so...
05/26/2021 ∙ by Xinran Li, et al. ∙ 2 ∙ share

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Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Advancements in deep learning and machine learning algorithms have enabl...
05/25/2021 ∙ by Ruchir Puri, et al. ∙ 13 ∙ share

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Bias, Fairness, and Accountability with AI and ML Algorithms

The advent of AI and ML algorithms has led to opportunities as well as c...
05/13/2021 ∙ by Nengfeng Zhou, et al. ∙ 7 ∙ share

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Unsupervised domain adaptation via double classifiers based on high confidence pseudo label

Unsupervised domain adaptation (UDA) aims to solve the problem of knowle...
05/11/2021 ∙ by Huihuang Chen, et al. ∙ 2 ∙ share

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RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection

Human-Object Interaction (HOI) detection devotes to learn how humans int...
04/30/2021 ∙ by Dongming Yang, et al. ∙ 11 ∙ share

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Carrying out CNN Channel Pruning in a White Box

Channel Pruning has been long adopted for compressing CNNs, which signif...
04/24/2021 ∙ by Yuxin Zhang, et al. ∙ 8 ∙ share

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Image-based Virtual Fitting Room

Virtual fitting room is a challenging task yet useful feature for e-comm...
04/08/2021 ∙ by Zhiling Huang, et al. ∙ 8 ∙ share

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CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning

Weakly-supervised temporal action localization (WS-TAL) aims to localize...
03/30/2021 ∙ by Can Zhang, et al. ∙ 10 ∙ share

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Noise Injection-based Regularization for Point Cloud Processing

Noise injection-based regularization, such as Dropout, has been widely u...
03/28/2021 ∙ by Xiao Zang, et al. ∙ 4 ∙ share

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ReCU: Reviving the Dead Weights in Binary Neural Networks

Binary neural networks (BNNs) have received increasing attention due to ...
03/23/2021 ∙ by Zihan Xu, et al. ∙ 4 ∙ share

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Linear Iterative Feature Embedding: An Ensemble Framework for Interpretable Model

A new ensemble framework for interpretable model called Linear Iterative...
03/18/2021 ∙ by Agus Sudjianto, et al. ∙ 6 ∙ share

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Projection-based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices

Matrices with low numerical rank are omnipresent in many signal processi...
03/12/2021 ∙ by Maboud F. Kaloorazi, et al. ∙ 17 ∙ share

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Delay and Power consumption Analysis for Queue State Dependent Service Rate Control in WirelessHart System

To solve the problem of power supply limitation of machines working in w...
02/10/2021 ∙ by Dibyajyoti Guha, et al. ∙ 0 ∙ share

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Learning Structral coherence Via Generative Adversarial Network for Single Image Super-Resolution

Among the major remaining challenges for single image super resolution (...
01/25/2021 ∙ by Yuanzhuo Li, et al. ∙ 3 ∙ share

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Generating a Doppelganger Graph: Resembling but Distinct

Deep generative models, since their inception, have become increasingly ...
01/23/2021 ∙ by Yuliang Ji, et al. ∙ 11 ∙ share

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Directed Acyclic Graph Neural Networks

Graph-structured data ubiquitously appears in science and engineering. G...
01/20/2021 ∙ by Veronika Thost, et al. ∙ 22 ∙ share

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Discrete Graph Structure Learning for Forecasting Multiple Time Series

Time series forecasting is an extensively studied subject in statistics,...
01/18/2021 ∙ by Chao Shang, et al. ∙ 21 ∙ share

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Handling Noisy Labels via One-Step Abductive Multi-Target Learning

Learning from noisy labels is an important concern because of the lack o...
11/25/2020 ∙ by Yongquan Yang, et al. ∙ 13 ∙ share

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Edge Adaptive Hybrid Regularization Model For Image Deblurring

A spatially fixed parameter of regularization item for whole images does...
11/20/2020 ∙ by Jie Chen, et al. ∙ 2 ∙ share

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A Bounded Multi-Vacation Queue Model for Multi-stage Sleep Control 5G Base station

Modelling and control of energy consumption is an important problem in t...
11/19/2020 ∙ by Jie Chen, et al. ∙ 0 ∙ share

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Deep reinforcement learning for RAN optimization and control

Due to the high variability of the traffic in the radio access network (...
11/09/2020 ∙ by Yu Chen, et al. ∙ 21 ∙ share

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Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors

Nowadays, nonnegative matrix factorization (NMF) based methods have been...
10/09/2020 ∙ by Min Zhao, et al. ∙ 15 ∙ share

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Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Super-resolution

Light field (LF) images acquired by hand-held devices usually suffer fro...
09/26/2020 ∙ by Jing Jin, et al. ∙ 3 ∙ share

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The 1st Tiny Object Detection Challenge:Methods and Results

The 1st Tiny Object Detection (TOD) Challenge aims toencourage research ...
09/16/2020 ∙ by Xuehui Yu, et al. ∙ 16 ∙ share

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Distributed Linear Equations over Random Networks

Distributed linear algebraic equation over networks, where nodes hold a ...
08/22/2020 ∙ by Peng Yi, et al. ∙ 0 ∙ share

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Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms

Supervised Machine Learning (SML) algorithms, such as Gradient Boosting,...
07/28/2020 ∙ by Linwei Hu, et al. ∙ 27 ∙ share

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Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms

The linear inverse problem is fundamental to the development of various ...
07/27/2020 ∙ by Yanna Bai, et al. ∙ 0 ∙ share

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Generalized multiscale approximation of a multipoint flux mixed finite element method for Darcy-Forchheimer model

In this paper, we propose a multiscale method for the Darcy-Forchheimer ...
07/17/2020 ∙ by Zhengkang He, et al. ∙ 0 ∙ share

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Adaptive generalized multiscale approximation of a mixed finite element method with velocity elimination

In this paper, we propose offline and online adaptive enrichment algorit...
07/17/2020 ∙ by Zhengkang He, et al. ∙ 0 ∙ share

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Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning

This paper explores the problem of hyperspectral image (HSI) super-resol...
06/18/2020 ∙ by Zhiyu Zhu, et al. ∙ 0 ∙ share

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Policy Gradient from Demonstration and Curiosity

With reinforcement learning, an agent could learn complex behaviors from...
04/22/2020 ∙ by Jie Chen, et al. ∙ 19 ∙ share

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AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification

Domain adaptive person re-identification (re-ID) is a challenging task, ...
04/19/2020 ∙ by Yunpeng Zhai, et al. ∙ 0 ∙ share

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Adaptive Explainable Neural Networks (AxNNs)

While machine learning techniques have been successfully applied in seve...
04/05/2020 ∙ by Jie Chen, et al. ∙ 108 ∙ share

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Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization

Light field (LF) images acquired by hand-held devices usually suffer fro...
04/05/2020 ∙ by Jing Jin, et al. ∙ 1 ∙ share

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Learning a Weakly-Supervised Video Actor-Action Segmentation Model with a Wise Selection

We address weakly-supervised video actor-action segmentation (VAAS), whi...
03/29/2020 ∙ by Jie Chen, et al. ∙ 20 ∙ share

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Automated discovery of a robust interatomic potential for aluminum

Atomistic molecular dynamics simulation is an important tool for predict...
03/10/2020 ∙ by Justin S. Smith, et al. ∙ 0 ∙ share

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DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images

Change detection is a basic task of remote sensing image processing. The...
03/07/2020 ∙ by Jie Chen, et al. ∙ 15 ∙ share

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Asynchronous parallel adaptive stochastic gradient methods

Stochastic gradient methods (SGMs) are the predominant approaches to tra...
02/21/2020 ∙ by Yangyang Xu, et al. ∙ 0 ∙ share

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Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models

Deep neural networks, while generalize well, are known to be sensitive t...
02/12/2020 ∙ by Xiao Zang, et al. ∙ 17 ∙ share

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Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization

This paper considers a distributed stochastic strongly convex optimizati...
02/09/2020 ∙ by Jinlong Lei, et al. ∙ 0 ∙ share

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Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification

Remote sensing image scene classification is a fundamental but challengi...
01/27/2020 ∙ by Jie Chen, et al. ∙ 7 ∙ share

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Jie Chen

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