
AttentionGuided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues
Near infrared (NIR) imaging has been widely applied in lowlight imaging...
read it

Efficient proximal gradient algorithms for joint graphical lasso
We consider learning an undirected graphical model from sparse data. Whi...
read it

AttentionGuided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration
High Dynamic Range (HDR) imaging via multiexposure fusion is an importa...
read it

CentripetalText: An Efficient Text Instance Representation for Scene Text Detection
Scene text detection remains a grand challenge due to the variation in t...
read it

Distributed stochastic gradient tracking algorithm with variance reduction for nonconvex optimization
This paper proposes a distributed stochastic algorithm with variance red...
read it

Graph coarsening: From scientific computing to machine learning
The general method of graph coarsening or graph reduction has been a rem...
read it

Sparse Linear Spectral Unmixing of Hyperspectral images using ExpectationPropagation
This paper presents a novel Bayesian approach for hyperspectral image un...
read it

ScaleConsistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering
Imagebased geometric modeling and novel view synthesis based on sparse,...
read it

GearV: A TwoGear Hypervisor for MixedCriticality IoT Systems
This paper presents GearV, a twogear lightweight hypervisor architectur...
read it

Composition and Application of Current Advanced Driving Assistance System: A Review
Due to the growing awareness of driving safety and the development of so...
read it

Project CodeNet: A LargeScale AI for Code Dataset for Learning a Diversity of Coding Tasks
Advancements in deep learning and machine learning algorithms have enabl...
read it

Bias, Fairness, and Accountability with AI and ML Algorithms
The advent of AI and ML algorithms has led to opportunities as well as c...
read it

Unsupervised domain adaptation via double classifiers based on high confidence pseudo label
Unsupervised domain adaptation (UDA) aims to solve the problem of knowle...
read it

RRNet: Injecting Interactive Semantics in HumanObject Interaction Detection
HumanObject Interaction (HOI) detection devotes to learn how humans int...
read it

Carrying out CNN Channel Pruning in a White Box
Channel Pruning has been long adopted for compressing CNNs, which signif...
read it

Imagebased Virtual Fitting Room
Virtual fitting room is a challenging task yet useful feature for ecomm...
read it

CoLA: WeaklySupervised Temporal Action Localization with Snippet Contrastive Learning
Weaklysupervised temporal action localization (WSTAL) aims to localize...
read it

Noise Injectionbased Regularization for Point Cloud Processing
Noise injectionbased regularization, such as Dropout, has been widely u...
read it

ReCU: Reviving the Dead Weights in Binary Neural Networks
Binary neural networks (BNNs) have received increasing attention due to ...
read it

Linear Iterative Feature Embedding: An Ensemble Framework for Interpretable Model
A new ensemble framework for interpretable model called Linear Iterative...
read it

Projectionbased QLP Algorithm for Efficiently Computing LowRank Approximation of Matrices
Matrices with low numerical rank are omnipresent in many signal processi...
read it

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...
read it

Learning Structral coherence Via Generative Adversarial Network for Single Image SuperResolution
Among the major remaining challenges for single image super resolution (...
read it

Generating a Doppelganger Graph: Resembling but Distinct
Deep generative models, since their inception, have become increasingly ...
read it

Directed Acyclic Graph Neural Networks
Graphstructured data ubiquitously appears in science and engineering. G...
read it

Discrete Graph Structure Learning for Forecasting Multiple Time Series
Time series forecasting is an extensively studied subject in statistics,...
read it

Handling Noisy Labels via OneStep Abductive MultiTarget Learning
Learning from noisy labels is an important concern because of the lack o...
read it

Edge Adaptive Hybrid Regularization Model For Image Deblurring
A spatially fixed parameter of regularization item for whole images does...
read it

A Bounded MultiVacation Queue Model for Multistage Sleep Control 5G Base station
Modelling and control of energy consumption is an important problem in t...
read it

Deep reinforcement learning for RAN optimization and control
Due to the high variability of the traffic in the radio access network (...
read it

Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors
Nowadays, nonnegative matrix factorization (NMF) based methods have been...
read it

Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Superresolution
Light field (LF) images acquired by handheld devices usually suffer fro...
read it

The 1st Tiny Object Detection Challenge:Methods and Results
The 1st Tiny Object Detection (TOD) Challenge aims toencourage research ...
read it

Distributed Linear Equations over Random Networks
Distributed linear algebraic equation over networks, where nodes hold a ...
read it

Surrogate LocallyInterpretable Models with Supervised Machine Learning Algorithms
Supervised Machine Learning (SML) algorithms, such as Gradient Boosting,...
read it

Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms
The linear inverse problem is fundamental to the development of various ...
read it

Generalized multiscale approximation of a multipoint flux mixed finite element method for DarcyForchheimer model
In this paper, we propose a multiscale method for the DarcyForchheimer ...
read it

Adaptive generalized multiscale approximation of a mixed finite element method with velocity elimination
In this paper, we propose offline and online adaptive enrichment algorit...
read it

Hyperspectral Image Superresolution via Deep Progressive Zerocentric Residual Learning
This paper explores the problem of hyperspectral image (HSI) superresol...
read it

Policy Gradient from Demonstration and Curiosity
With reinforcement learning, an agent could learn complex behaviors from...
read it

ADCluster: Augmented Discriminative Clustering for Domain Adaptive Person Reidentification
Domain adaptive person reidentification (reID) is a challenging task, ...
read it

Adaptive Explainable Neural Networks (AxNNs)
While machine learning techniques have been successfully applied in seve...
read it

Light Field Spatial Superresolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
Light field (LF) images acquired by handheld devices usually suffer fro...
read it

Learning a WeaklySupervised Video ActorAction Segmentation Model with a Wise Selection
We address weaklysupervised video actoraction segmentation (VAAS), whi...
read it

Automated discovery of a robust interatomic potential for aluminum
Atomistic molecular dynamics simulation is an important tool for predict...
read it

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...
read it

Asynchronous parallel adaptive stochastic gradient methods
Stochastic gradient methods (SGMs) are the predominant approaches to tra...
read it

Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Deep neural networks, while generalize well, are known to be sensitive t...
read it

Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization
This paper considers a distributed stochastic strongly convex optimizati...
read it

Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
Remote sensing image scene classification is a fundamental but challengi...
read it
Jie Chen
is this you? claim profile
∙
0
followers
City University of Hong Kong
∙
MIT
∙
ibm
∙
University of Oulu
∙
Alibaba Cloud
∙
Université Nice Sophia Antipolis
∙
IEEE
∙
Hong Kong Baptist University
∙
Institute of Computing Technology, Chinese Academy of Sciences
∙
Nanyang Technological University
∙
University of Rochester
∙
Tencent
∙
Shenzhen University
∙
Agency for Science, Technology and Research
∙
Peking University
∙
Durham University
∙
Beijing Institute of Technology
∙
NetEase, Inc
Professor