
Modelbased Meta Reinforcement Learning using Graph Structured Surrogate Models
Reinforcement learning is a promising paradigm for solving sequential de...
read it

Thermodynamically Consistent Algorithms for Models of Diblock Copolymer Solutions Interacting with Electric and Magnetic Fields
We derive thermodynamically consistent models for diblock copolymer solu...
read it

An Optimal Mass Transport Method for Random Genetic Drift
We propose and analyze an optimal mass transport method for a random gen...
read it

BOTD: Bold Outline Text Detector
Recently, text detection for arbitrary shape has attracted more and more...
read it

Unsupervised Semantic Aggregation and Deformable Template Matching for SemiSupervised Learning
Unlabeled data learning has attracted considerable attention recently. H...
read it

A Flow Base Bipath Network for Crossscene Video Crowd Understanding in Aerial View
Drones shooting can be applied in dynamic traffic monitoring, object det...
read it

Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
Neural processes (NPs) constitute a family of variational approximate mo...
read it

iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry
Objective: This study aims to develop and validate a novel framework, iP...
read it

Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos
Many semantic events in team sport activities e.g. basketball often invo...
read it

Supplementary Variable Method for Developing StructurePreserving Numerical Approximations to Thermodynamically Consistent Partial Differential Equations
We present a new temporal discretization paradigm for developing energy...
read it

Stable and Efficient Policy Evaluation
Policy evaluation algorithms are essential to reinforcement learning due...
read it

New Construction of Optimal TypeII Binary ZComplementary Pairs
A pair of sequences is called a Zcomplementary pair (ZCP) if it has zer...
read it

A note on an OACFpreserving operation based on Parker's Transformation
Binary sequences with low oddperiodic correlation magnitudes have found...
read it

Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting
Crossdomain crowd counting (CDCC) is a hot topic due to its importance ...
read it

CNNbased Density Estimation and Crowd Counting: A Survey
Accurately estimating the number of objects in a single image is a chall...
read it

Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Knowledge graph models world knowledge as concepts, entities, and the re...
read it

Focus on Semantic Consistency for Crossdomain Crowd Understanding
For pixellevel crowd understanding, it is timeconsuming and laborious ...
read it

An energybased discontinuous Galerkin method for semilinear wave equations
We generalize the energybased discontinuous Galerkin method proposed in...
read it

Where Does It Exist: SpatioTemporal Video Grounding for MultiForm Sentences
In this paper, we consider a novel task, SpatioTemporal Video Grounding...
read it

SpatialSpectral Residual Network for Hyperspectral Image SuperResolution
Deep learningbased hyperspectral image superresolution (SR) methods ha...
read it

NWPUCrowd: A LargeScale Benchmark for Crowd Counting
In the last decade, crowd counting attracts much attention of researcher...
read it

Domainadaptive Crowd Counting via Interdomain Features Segregation and Gaussianprior Reconstruction
Recently, crowd counting using supervised learning achieves a remarkable...
read it

Featureaware Adaptation and Structured Density Alignment for Crowd Counting in Video Surveillance
With the development of deep neural networks, the performance of crowd c...
read it

WeaklySupervised Video Moment Retrieval via Semantic Completion Network
Video moment retrieval is to search the moment that is most relevant to ...
read it

Arbitrarily Highorder Linear Schemes for Gradient Flow Models
We present a paradigm for developing arbitrarily high order, linear, unc...
read it

SubChannel Allocation for DevicetoDevice Underlaying FullDuplex mmWave Small Cells using Coalition Formation Games
The small cells in millimeter wave (mmWave) have been utilized extensive...
read it

Detecting AI Trojans Using Meta Neural Analysis
Machine learning models, especially neural networks (NNs), have achieved...
read it

IBRS: An Efficient Identitybased Batch Verification Scheme for VANETs Based on Ring Signature
Vehicular adhoc networks (VANETs) are one of the most important compone...
read it

Bayesian Inference on Volatility in the Presence of Infinite Jump Activity and Microstructure Noise
Volatility estimation based on highfrequency data is key to accurately ...
read it

SCAR: Spatial/Channelwise Attention Regression Networks for Crowd Counting
Recently, crowd counting is a hot topic in crowd analysis. Many CNNbase...
read it

Auditable Credential Anonymity Revocation Based on PrivacyPreserving Smart Contracts
Anonymity revocation is an essential component of credential issuing sys...
read it

New nonexistence results on (m,n)generalized bent functions
In this paper, we present some new nonexistence results on (m,n)general...
read it

Combinatorial tdesigns from quadratic functions
Combinatorial tdesigns have been an interesting topic in combinatorics ...
read it

Arbitrarily Highorder Unconditionally Energy Stable Schemes for Thermodynamically Consistent Gradient Flow Models
We present a systematical approach to developing arbitrarily high order,...
read it

Arbitrarily Highorder Unconditionally Energy Stable Schemes for Gradient Flow Models Using the Scalar Auxiliary Variable Approach
In this paper, we propose a novel family of highorder numerical schemes...
read it

Placement Delivery Arrays from Combinations of Strong Edge Colorings
It has recently been pointed out in both of the works [C. Shanguan, Y. Z...
read it

Estimating Commuting Patterns from High Resolution Phone GPS Data
The rise of location positioning technologies has generated enormous vol...
read it

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Crowd counting from a single image is a challenging task due to high app...
read it

Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
Hyperspectral image (HSI) classification, which aims to assign an accura...
read it

GETNET: A General Endtoend Twodimensional CNN Framework for Hyperspectral Image Change Detection
Change detection (CD) is an important application of remote sensing, whi...
read it

Learning by Inertia: Selfsupervised Monocular Visual Odometry for Road Vehicles
In this paper, we present iDVO (inertiaembedded deep visual odometry), ...
read it

Optimizationbased Decentralized Coded Caching for Files and Caches with Arbitrary Size
Existing decentralized coded caching solutions cannot guarantee small lo...
read it

VSSANET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection
Although traffic sign detection has been studied for years and great pro...
read it

Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection
Road detection from the perspective of moving vehicles is a challenging ...
read it

A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling
Street scene understanding is an essential task for autonomous driving. ...
read it

Early Action Prediction with Generative Adversarial Networks
Action Prediction is aimed to determine what action is occurring in a vi...
read it

MemoryAugmented Temporal Dynamic Learning for Action Recognition
Human actions captured in video sequences contain two crucial factors fo...
read it

Anomaly Detection in Traffic Scenes via Spatialaware Motion Reconstruction
Anomaly detection from a driver's perspective when driving is important ...
read it

CrossModal Message Passing for Twostream Fusion
Processing and fusing information among multimodal is a very useful tec...
read it

Optimal Clustering Framework for Hyperspectral Band Selection
Band selection, by choosing a set of representative bands in hyperspectr...
read it
Qi Wang
is this you? claim profile