
Unveiling personnel movement in a larger indoor area with a nonoverlapping multicamera system
Surveillance cameras are widely applied for indoor occupancy measurement...
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Freeform Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud
3D object grounding aims to locate the most relevant target object in a ...
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Learning Frequencyaware Dynamic Network for Efficient SuperResolution
Deep learning based methods, especially convolutional neural networks (C...
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Extragradient and Extrapolation Methods with Generalized Bregman Distances for Saddle Point Problems
In this work, we introduce two algorithmic frameworks, named Bregman ext...
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EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos
The popularity of racket sports (e.g., tennis and table tennis) leads to...
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Sparse Sampling KaczmarzMotzkin Method with Linear Convergence
The randomized sparse Kaczmarz method was recently proposed to recover s...
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MultiModel Least SquaresBased Recomputation Framework for Large Data Analysis
Most multilayer least squares (LS)based neural networks are structured ...
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Decoupling Representation and Classifier for Noisy Label Learning
Since convolutional neural networks (ConvNets) can easily memorize noisy...
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UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signaltonoise Ratio Condition
Speech enhancement at extremely low signaltonoise ratio (SNR) conditio...
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PassVizor: Toward Better Understanding of the Dynamics of Soccer Passes
In soccer, passing is the most frequent interaction between players and ...
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Explanation of Reinforcement Learning Model in Dynamic MultiAgent System
Recently, there has been increasing interest in transparency and interpr...
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Emotion Correlation Mining Through Deep Learning Models on Natural Language Text
Emotion analysis has been attracting researchers' attention. Most previo...
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Numerical approximations and error analysis of the CahnHilliard equation with reaction rate dependent dynamic boundary conditions
We consider numerical approximations and error analysis for the CahnHil...
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Convergence analysis of the timestepping numerical methods for timefractional nonlinear subdiffusion equations
In 1986, Dixon and McKee developed a discrete fractional Grönwall inequa...
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A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image
Computed Tomography (CT) of the temporal bone has become an important me...
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Numerical Approximations and Error Analysis of the CahnHilliard Equation with Dynamic Boundary Conditions
We consider the numerical approximations of the CahnHilliard equation w...
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A positivitypreserving secondorder BDF scheme for the CahnHilliard equation with variable interfacial parameters
We present and analyze a new secondorder finite difference scheme for t...
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Efficient Backbone Search for Scene Text Recognition
Scene text recognition (STR) is very challenging due to the diversity of...
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Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks
In recent decades, neural network based methods have significantly impro...
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All You Need Is Boundary: Toward ArbitraryShaped Text Spotting
Recently, endtoend text spotting that aims to detect and recognize tex...
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A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone
Gaze estimation for ordinary smart phone, e.g. estimating where the user...
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Learning Alignment for Multimodal Emotion Recognition from Speech
Speech emotion recognition is a challenging problem because human convey...
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User independent Emotion Recognition with Residual SignalImage Network
User independent emotion recognition with large scale physiological sign...
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DELTA: A DEep learning based Language Technology plAtform
In this paper we present DELTA, a deep learning based language technolog...
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DeepDA: LSTMbased Deep Data Association Network for MultiTargets Tracking in Clutter
The Long ShortTerm Memory (LSTM) neural network based data association ...
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A Monaural Speech Enhancement Method for Robust SmallFootprint Keyword Spotting
Robustness against noise is critical for keyword spotting (KWS) in real...
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Complexity of Dependencies in Bounded Domains, Armstrong Codes, and Generalizations
The study of Armstrong codes is motivated by the problem of understandin...
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Training GANs with Centripetal Acceleration
Training generative adversarial networks (GANs) often suffers from cycli...
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Estimation of InterSentiment Correlations Employing Deep Neural Network Models
This paper focuses on sentiment mining and sentiment correlation analysi...
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A generative model of realistic brain cells with application to numerical simulation of diffusionweighted MR signal
In this work, we introduce a novel computational framework that we devel...
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Grassmannian Codes with New Distance Measures for Network Coding
Subspace codes are known to be useful in errorcorrection for random net...
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Integrated Speech Enhancement Method Based on Weighted Prediction Error and DNN for Dereverberation and Denoising
Both reverberation and additive noises degrade the speech quality and in...
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Active Deep Learning for Classification of Hyperspectral Images
Active deep learning classification of hyperspectral images is considere...
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Feature Selection Based on Term Frequency and TTest for Text Categorization
Much work has been done on feature selection. Existing methods are based...
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InverseCategoryFrequency based supervised term weighting scheme for text categorization
Term weighting schemes often dominate the performance of many classifier...
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Hui Zhang
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