
Lipreading with Densely Connected Temporal Convolutional Networks
In this work, we present the Densely Connected Temporal Convolutional Ne...
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On fully decoupled MSAV schemes for the CahnHilliardNavierStokes model of TwoPhase Incompressible Flows
We construct first and secondorder time discretization schemes for the...
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Usability of a Robot's Realistic Facial Expressions and Peripherals in Autistic Children's Therapy
Robotassisted therapy is an emerging form of therapy for autistic child...
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Unconditionally positivity preserving and energy dissipative schemes for Poisson–Nernst–Planck equations
We develop a set of numerical schemes for the Poisson–Nernst–Planck equa...
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MEvolve: StructuralMappingBased Data Augmentation for Graph Classification
Graph classification, which aims to identify the category labels of grap...
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OneBit Compressed Sensing via OneShot Hard Thresholding
This paper concerns the problem of 1bit compressed sensing, where the g...
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AttributeEfficient Learning of Halfspaces with Malicious Noise: NearOptimal Label Complexity and Noise Tolerance
This paper is concerned with computationally efficient learning of homog...
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Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation
Dilated convolutions are widely used in deep semantic segmentation model...
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Efficient Linear and Unconditionally Energy Stable Schemes for the Modified Phase Field Crystal Equation
In this paper, we construct efficient schemes based on the scalar auxili...
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Log orthogonal functions: approximation properties and applications
We present two new classes of orthogonal functions, log orthogonal funct...
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New SAVpressure correction methods for the NavierStokes equations: stability and error analysis
We construct new first and secondorder pressure correction schemes usi...
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Efficient active learning of sparse halfspaces with arbitrary bounded noise
In this work we study active learning of homogeneous ssparse halfspaces...
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Global constraints preserving SAV schemes for gradient flows
We develop several efficient numerical schemes which preserve exactly th...
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A new Lagrange Multiplier approach for gradient flows
We propose a new Lagrange Multiplier approach to design unconditional en...
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Towards Poseinvariant LipReading
Lipreading models have been significantly improved recently thanks to p...
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Shape Constrained Network for Eye Segmentation in the Wild
Semantic segmentation of eyes has long been a vital preprocessing step ...
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An efficient numerical scheme for a 3D spherical dynamo equation
We develop an efficient numerical scheme for the 3D meanfield spherical...
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Error analysis of the SAVMAC scheme for the NavierStokes equations
An efficient numerical scheme based on the scalar auxiliary variable (SA...
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Fast Fourierlike Mapped Chebyshev SpectralGalerkin Methods for PDEs with Integral Fractional Laplacian in Unbounded Domains
In this paper, we propose a fast spectralGalerkin method for solving PD...
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Dynamic Face Video Segmentation via Reinforcement Learning
For realtime semantic video segmentation, most recent works utilise a d...
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SEWA DB: A Rich Database for AudioVisual Emotion and Sentiment Research in the Wild
Natural humancomputer interaction and audiovisual human behaviour sens...
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Face Mask Extraction in Video Sequence
Inspired by the recent development of deep networkbased methods in sema...
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Mobile Face Tracking: A Survey and Benchmark
With the rapid development of smartphones, facial analysis has been play...
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A realtime and unsupervised face ReIdentification system for HumanRobot Interaction
In the context of HumanRobot Interaction (HRI), face ReIdentification ...
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VisualOnly Recognition of Normal, Whispered and Silent Speech
Silent speech interfaces have been recently proposed as a way to enable ...
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GARDENIA: A Domainspecific Benchmark Suite for Nextgeneration Accelerators
This paper presents the Graph Analytics Repository for Designing Nextge...
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A Tight Bound of Hard Thresholding
This paper is concerned with the hard thresholding technique which sets ...
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Social Trust Prediction via Maxnorm Constrained 1bit Matrix Completion
Social trust prediction addresses the significant problem of exploring i...
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Efficient Online Minimization for LowRank Subspace Clustering
Lowrank representation (LRR) has been a significant method for segmenti...
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Object Proposal with Kernelized Partial Ranking
Object proposals are an ensemble of bounding boxes with high potential t...
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A Latent Clothing Attribute Approach for Human Pose Estimation
As a fundamental technique that concerns several vision tasks such as im...
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Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification
In this paper, we utilize structured learning to simultaneously address ...
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Jie Shen
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