
Exploit Camera Raw Data for Video SuperResolution via Hidden Markov Model Inference
To the best of our knowledge, the existing deeplearningbased Video Sup...
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Spectral Algorithms for Community Detection in Directed Networks
Community detection in large social networks is affected by degree heter...
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Cylinder3D: An Effective 3D Framework for Drivingscene LiDAR Semantic Segmentation
Stateoftheart methods for largescale drivingscene LiDAR semantic se...
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COLD: Towards the Next Generation of PreRanking System
Multistage cascade architecture exists widely in many industrial system...
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Weak Supervision and Referring Attention for TemporalTextual Association Learning
A system capturing the association between video frames and textual quer...
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Enhanced First and Zeroth Order Variance Reduced Algorithms for MinMax Optimization
Minmax optimization captures many important machine learning problems s...
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ACMo: AngleCalibrated Moment Methods for Stochastic Optimization
Due to its simplicity and outstanding ability to generalize, stochastic ...
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Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs
Adaptive gradient methods have attracted much attention of machine learn...
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Searchbased User Interest Modeling with Lifelong Sequential Behavior Data for ClickThrough Rate Prediction
Rich user behavior data has been proven to be of great value for clickt...
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Resisting the Distractingfactors in Pedestrian Detection
Pedestrian detection has been heavily studied in the last decade due to ...
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ViTAA: VisualTextual Attributes Alignment in Person Search by Natural Language
Person search by natural language aims at retrieving a specific person i...
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Nonasymptotic Convergence Analysis of Two Timescale (Natural) ActorCritic Algorithms
As an important type of reinforcement learning algorithms, actorcritic ...
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Improving Sample Complexity Bounds for ActorCritic Algorithms
The actorcritic (AC) algorithm is a popular method to find an optimal p...
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Differential Network Learning Beyond Data Samples
Learning the change of statistical dependencies between random variables...
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Exploring Tradeoffs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows
In order to achieve neartime insights, scientific workflows tend to be ...
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Hercules: An Autonomous Logistic Vehicle for Contactless Goods Transportation During the COVID19 Outbreak
Since December 2019, the coronavirus disease 2019 (COVID19) has spread ...
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AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
In this paper, we attempt to solve the domain adaptation problem for dee...
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Predicting Camera Viewpoint Improves Crossdataset Generalization for 3D Human Pose Estimation
Monocular estimation of 3d human pose has attracted increased attention ...
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Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization
Various types of parameter restart schemes have been proposed for accele...
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Hierarchical Transformer Network for Utterancelevel Emotion Recognition
While there have been significant advances in detecting emotions in tex...
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SegVoxelNet: Exploring Semantic Context and Depthaware Features for 3D Vehicle Detection from Point Cloud
3D vehicle detection based on point cloud is a challenging task in real...
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Reanalysis of Variance Reduced Temporal Difference Learning
Temporal difference (TD) learning is a popular algorithm for policy eval...
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PVRCNN: PointVoxel Feature Set Abstraction for 3D Object Detection
We present a novel and highperformance 3D object detection framework, n...
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Learning DepthGuided Convolutions for Monocular 3D Object Detection
3D object detection from a single image without LiDAR is a challenging t...
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Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
A major challenge for video semantic segmentation is the lack of labeled...
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Improved ZerothOrder Variance Reduced Algorithms and Analysis for Nonconvex Optimization
Two types of zerothorder stochastic algorithms have recently been desig...
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Faster Stochastic Algorithms via HistoryGradient Aided Batch Size Adaptation
Various schemes for adapting batch size have been recently proposed to a...
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RiWalk: Fast Structural Node Embedding via Role Identification
Nodes performing different functions in a network have different roles, ...
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A Generalized Training Approach for Multiagent Learning
This paper investigates a populationbased training regime based on game...
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Variable Population Memetic Search: A Case Study on the Critical Node Problem
Populationbased memetic algorithms have been successfully applied to so...
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Robust MultiModality MultiObject Tracking
Multisensor perception is crucial to ensure the reliability and accurac...
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FocusNet: Imbalanced Large and Small Organ Segmentation with an EndtoEnd Deep Neural Network for Head and Neck CT Images
In this paper, we propose an endtoend deep neural network for solving ...
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PartA^2 Net: 3D PartAware and Aggregation Neural Network for Object Detection from Point Cloud
In this paper, we propose the partaware and aggregation neural network ...
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Modelfree posterior inference on the area under the receiver operating characteristic curve
The area under the receiver operating characteristic curve (AUC) serves ...
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Geometric Pose Affordance: 3D Human Pose with Scene Constraints
Full 3D estimation of human pose from a single image remains a challengi...
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Momentum Schemes with Stochastic Variance Reduction for Nonconvex Composite Optimization
Two new stochastic variancereduced algorithms named SARAH and SPIDER ha...
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Improving Model Robustness with TransformationInvariant Attacks
Vulnerability of neural networks under adversarial attacks has raised se...
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A^2Net: Molecular Structure Estimation from CryoEM Density Volumes
Constructing of molecular structural models from CryoElectron Microscop...
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Adaptive Deployment for UAVAided Communication Networks
Unmanned aerial vehicle (UAV) as an aerial base station is a promising t...
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Training MultiTask Adversarial Network For Extracting NoiseRobust Speaker Embedding
Under noisy environments, to achieve the robust performance of speaker r...
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SpiderBoost: A Class of Faster Variancereduced Algorithms for Nonconvex Optimization
There has been extensive research on developing stochastic variance redu...
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Cubic Regularization with Momentum for Nonconvex Optimization
Momentum is a popular technique to accelerate the convergence in practic...
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A TwoStage Method for Skin Lesion Analysis
This report summarises our method and validation results for the ISIC Ch...
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NNCubes: Learned Structures for Visual Data Exploration
Visual exploration of large multidimensional datasets has seen tremendou...
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A Note on Inexact Condition for Cubic Regularized Newton's Method
This note considers the inexact cubicregularized Newton's method (CR), ...
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Convergence of Cubic Regularization for Nonconvex Optimization under KL Property
Cubicregularized Newton's method (CR) is a popular algorithm that guara...
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Pose Guided Human Video Generation
Due to the emergence of Generative Adversarial Networks, video synthesis...
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Knowledge Compilation in MultiAgent Epistemic Logics
Epistemic logics are a primary formalism for multiagent systems but maj...
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Learnable Histogram: Statistical Context Features for Deep Neural Networks
Statistical features, such as histogram, BagofWords (BoW) and Fisher V...
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Variational Disparity Estimation Framework for Plenoptic Image
This paper presents a computational framework for accurately estimating ...
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Zhe Wang
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Ant Financial
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SenseTime Corporation
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University of California, Irvine
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Beihang University
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NC State University
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Rutgers University
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Singapore University of Technology and Design
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The Chinese University of Hong Kong
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The Ohio State University
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The Hong Kong University of Science and Technology
Senior Researcher SenseTime Group Limited