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Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models
Reinforcement learning is a promising paradigm for solving sequential de...
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Thermodynamically Consistent Algorithms for Models of Diblock Copolymer Solutions Interacting with Electric and Magnetic Fields
We derive thermodynamically consistent models for diblock copolymer solu...
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An Optimal Mass Transport Method for Random Genetic Drift
We propose and analyze an optimal mass transport method for a random gen...
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BOTD: Bold Outline Text Detector
Recently, text detection for arbitrary shape has attracted more and more...
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Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Unlabeled data learning has attracted considerable attention recently. H...
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A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View
Drones shooting can be applied in dynamic traffic monitoring, object det...
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Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
Neural processes (NPs) constitute a family of variational approximate mo...
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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...
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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...
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Supplementary Variable Method for Developing Structure-Preserving Numerical Approximations to Thermodynamically Consistent Partial Differential Equations
We present a new temporal discretization paradigm for developing energy-...
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Stable and Efficient Policy Evaluation
Policy evaluation algorithms are essential to reinforcement learning due...
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New Construction of Optimal Type-II Binary Z-Complementary Pairs
A pair of sequences is called a Z-complementary pair (ZCP) if it has zer...
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A note on an OACF-preserving operation based on Parker's Transformation
Binary sequences with low odd-periodic correlation magnitudes have found...
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Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting
Cross-domain crowd counting (CDCC) is a hot topic due to its importance ...
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CNN-based Density Estimation and Crowd Counting: A Survey
Accurately estimating the number of objects in a single image is a chall...
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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...
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Focus on Semantic Consistency for Cross-domain Crowd Understanding
For pixel-level crowd understanding, it is time-consuming and laborious ...
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An energy-based discontinuous Galerkin method for semilinear wave equations
We generalize the energy-based discontinuous Galerkin method proposed in...
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Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
In this paper, we consider a novel task, Spatio-Temporal Video Grounding...
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Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution
Deep learning-based hyperspectral image super-resolution (SR) methods ha...
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NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting
In the last decade, crowd counting attracts much attention of researcher...
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Domain-adaptive Crowd Counting via Inter-domain Features Segregation and Gaussian-prior Reconstruction
Recently, crowd counting using supervised learning achieves a remarkable...
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Feature-aware Adaptation and Structured Density Alignment for Crowd Counting in Video Surveillance
With the development of deep neural networks, the performance of crowd c...
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Weakly-Supervised Video Moment Retrieval via Semantic Completion Network
Video moment retrieval is to search the moment that is most relevant to ...
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Arbitrarily High-order Linear Schemes for Gradient Flow Models
We present a paradigm for developing arbitrarily high order, linear, unc...
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Sub-Channel Allocation for Device-to-Device Underlaying Full-Duplex mmWave Small Cells using Coalition Formation Games
The small cells in millimeter wave (mmWave) have been utilized extensive...
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Detecting AI Trojans Using Meta Neural Analysis
Machine learning models, especially neural networks (NNs), have achieved...
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IBRS: An Efficient Identity-based Batch Verification Scheme for VANETs Based on Ring Signature
Vehicular ad-hoc networks (VANETs) are one of the most important compone...
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Bayesian Inference on Volatility in the Presence of Infinite Jump Activity and Microstructure Noise
Volatility estimation based on high-frequency data is key to accurately ...
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SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting
Recently, crowd counting is a hot topic in crowd analysis. Many CNN-base...
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Auditable Credential Anonymity Revocation Based on Privacy-Preserving Smart Contracts
Anonymity revocation is an essential component of credential issuing sys...
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New nonexistence results on (m,n)-generalized bent functions
In this paper, we present some new nonexistence results on (m,n)-general...
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Combinatorial t-designs from quadratic functions
Combinatorial t-designs have been an interesting topic in combinatorics ...
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Arbitrarily High-order Unconditionally Energy Stable Schemes for Thermodynamically Consistent Gradient Flow Models
We present a systematical approach to developing arbitrarily high order,...
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Arbitrarily High-order Unconditionally Energy Stable Schemes for Gradient Flow Models Using the Scalar Auxiliary Variable Approach
In this paper, we propose a novel family of high-order numerical schemes...
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Placement Delivery Arrays from Combinations of Strong Edge Colorings
It has recently been pointed out in both of the works [C. Shanguan, Y. Z...
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Estimating Commuting Patterns from High Resolution Phone GPS Data
The rise of location positioning technologies has generated enormous vol...
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PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Crowd counting from a single image is a challenging task due to high app...
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Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
Hyperspectral image (HSI) classification, which aims to assign an accura...
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GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection
Change detection (CD) is an important application of remote sensing, whi...
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Learning by Inertia: Self-supervised Monocular Visual Odometry for Road Vehicles
In this paper, we present iDVO (inertia-embedded deep visual odometry), ...
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Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Size
Existing decentralized coded caching solutions cannot guarantee small lo...
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VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection
Although traffic sign detection has been studied for years and great pro...
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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 ...
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A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling
Street scene understanding is an essential task for autonomous driving. ...
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Early Action Prediction with Generative Adversarial Networks
Action Prediction is aimed to determine what action is occurring in a vi...
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Memory-Augmented Temporal Dynamic Learning for Action Recognition
Human actions captured in video sequences contain two crucial factors fo...
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Anomaly Detection in Traffic Scenes via Spatial-aware Motion Reconstruction
Anomaly detection from a driver's perspective when driving is important ...
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Cross-Modal Message Passing for Two-stream Fusion
Processing and fusing information among multi-modal is a very useful tec...
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Optimal Clustering Framework for Hyperspectral Band Selection
Band selection, by choosing a set of representative bands in hyperspectr...
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