
Recognizing Microexpression in Video Clip with Adaptive Keyframe Mining
As a spontaneous expression of emotion on face, microexpression is rece...
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CADPU: A CurvatureAdaptive Deep Learning Solution for Point Set Upsampling
Point set is arguably the most direct approximation of an object or scen...
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A New Combinatorial Property of Geometric Unique Sink Orientations
A unique sink orientation (USO) is an orientation of the hypercube graph...
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PPYOLO: An Effective and Efficient Implementation of Object Detector
Object detection is one of the most important areas in computer vision, ...
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GraphPCNN: Two Stage Human Pose Estimation with Graph Pose Refinement
Recently, most of the stateoftheart human pose estimation methods are...
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Firstorder methods for largescale market equilibrium computation
Market equilibrium is a solution concept with many applications such as ...
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Datadriven Efficient Solvers and Predictions of Conformational Transitions for Langevin Dynamics on Manifold in High Dimensions
We work on dynamic problems with collected data {x_i} that distributed o...
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Inbetweening autoanimation via FokkerPlanck dynamics and thresholding
We propose an equilibriumdriven deformation algorithm (EDDA) to simulat...
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Projection method for droplet dynamics on groovetextured surface with merging and splitting
We study the full dynamics of droplets placed on an inclined groovetext...
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Weakly Supervised Deep Learning for COVID19 Infection Detection and Classification from CT Images
An outbreak of a novel coronavirus disease (i.e., COVID19) has been rec...
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MTLNAS: TaskAgnostic Neural Architecture Search towards GeneralPurpose MultiTask Learning
We propose to incorporate neural architecture search (NAS) into general...
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Stochastic Flows and Geometric Optimization on the Orthogonal Group
We present a new class of stochastic, geometricallydriven optimization ...
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SelfSupervised Light Field Reconstruction Using Shearlet Transform and Cycle Consistency
The imagebased rendering approach using Shearlet Transform (ST) is one ...
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DRST: Deep Residual Shearlet Transform for Densely Sampled Light Field Reconstruction
The ImageBased Rendering (IBR) approach using Shearlet Transform (ST) i...
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Application of Deep QNetwork in Portfolio Management
Machine Learning algorithms and Neural Networks are widely applied to ma...
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Learning Implicit Generative Models with Theoretical Guarantees
We propose a unified framework for implicit generative modeling (UnifiGe...
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Gradient flow formulation and second order numerical method for motion by mean curvature and contact line dynamics on rough surface
We study the dynamics of a droplet placing on an inclined rough surface,...
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Automated Testing for Deep Learning Systems with Differential Behavior Criteria
In this work, we conducted a study on building an automated testing syst...
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Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations
Proteins are the major building blocks of life, and actuators of almost ...
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ImpactAware Online Motion Planning for FullyActuated Bipedal Robot Walking
Planning and control of legged robots is a difficult problem due to hybr...
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Fast Adaptation with MetaReinforcement Learning for Trust Modelling in HumanRobot Interaction
In socially assistive robotics, an important research area is the develo...
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IntraEnsemble in Neural Networks
Improving model performance is always the key problem in machine learnin...
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WassersteinWasserstein AutoEncoders
To address the challenges in learning deep generative models (e.g.,the b...
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Social Behavior Learning with Realistic Reward Shaping
Deep reinforcement learning has been widely applied in the field of robo...
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Solution for LargeScale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance
This report demonstrates our solution for the Open Images 2018 Challenge...
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Highdimensional functional time series forecasting: An application to agespecific mortality rates
We address the problem of forecasting highdimensional functional time s...
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Unity: A General Platform for Intelligent Agents
Recent advances in Deep Reinforcement Learning and Robotics have been dr...
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Energy Efficient and Fair Resource Allocation for LTEUnlicensed Uplink Networks: A Twosided Matching Approach with Partial Information
LTEUnlicensed (LTEU) has recently attracted worldwide interest to meet...
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NDDRCNN: Layerwise Feature Fusing in MultiTask CNN by Neural Discriminative Dimensionality Reduction
Stateoftheart Convolutional Neural Network (CNN) benefits a lot from ...
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MultiGlimpse LSTM with ColorDepth Feature Fusion for Human Detection
With the development of depth cameras such as Kinect and Intel Realsense...
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Spoken English Intelligibility Remediation with PocketSphinx Alignment and Feature Extraction Improves Substantially over the State of the Art
Automatic speech recognition is used to assess spoken English learner pr...
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Convex Geometry of the Generalized MatrixFractional Function
Generalized matrixfractional (GMF) functions are a class of matrix supp...
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Symmetric NonRigid Structure from Motion for CategorySpecific Object Structure Estimation
Many objects, especially these made by humans, are symmetric, e.g. cars ...
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SemiSupervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples
This paper addresses the problem of face recognition when there is only ...
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Deep Gate Recurrent Neural Network
This paper introduces two recurrent neural network structures called Sim...
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Yuan Gao
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