b'Qi Wang'

Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models

Reinforcement learning is a promising paradigm for solving sequential de...
02/16/2021 ∙ by Qi Wang, et al. ∙ 21 ∙ share

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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...
02/16/2021 ∙ by Xiaowen Shen, et al. ∙ 0 ∙ share

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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...
12/31/2020 ∙ by José A. Carrillo, et al. ∙ 0 ∙ share

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BOTD: Bold Outline Text Detector

Recently, text detection for arbitrary shape has attracted more and more...
11/30/2020 ∙ by Chuang Yang, et al. ∙ 0 ∙ share

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Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning

Unlabeled data learning has attracted considerable attention recently. H...
10/12/2020 ∙ by Tao Han, et al. ∙ 16 ∙ share

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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...
09/29/2020 ∙ by Zhiyuan Zhao, et al. ∙ 3 ∙ share

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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...
08/21/2020 ∙ by Qi Wang, et al. ∙ 15 ∙ share

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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...
08/20/2020 ∙ by Wanyi Fu, et al. ∙ 4 ∙ share

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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...
07/13/2020 ∙ by Lifang Wu, et al. ∙ 6 ∙ share

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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-...
06/08/2020 ∙ by Yuezheng Gong, et al. ∙ 0 ∙ share

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Stable and Efficient Policy Evaluation

Policy evaluation algorithms are essential to reinforcement learning due...
06/06/2020 ∙ by Daoming Lyu, et al. ∙ 12 ∙ share

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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...
04/11/2020 ∙ by Zhi Gu, et al. ∙ 0 ∙ share

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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...
04/08/2020 ∙ by Geyang Wang, et al. ∙ 0 ∙ share

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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 ...
04/05/2020 ∙ by Qi Wang, et al. ∙ 0 ∙ share

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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...
03/28/2020 ∙ by Guangshuai Gao, et al. ∙ 0 ∙ share

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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...
03/09/2020 ∙ by Xianpei Han, et al. ∙ 0 ∙ share

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Focus on Semantic Consistency for Cross-domain Crowd Understanding

For pixel-level crowd understanding, it is time-consuming and laborious ...
02/20/2020 ∙ by Tao Han, et al. ∙ 0 ∙ share

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An energy-based discontinuous Galerkin method for semilinear wave equations

We generalize the energy-based discontinuous Galerkin method proposed in...
01/27/2020 ∙ by Daniel Appelo, et al. ∙ 0 ∙ share

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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...
01/19/2020 ∙ by Zhu Zhang, et al. ∙ 0 ∙ share

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Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution

Deep learning-based hyperspectral image super-resolution (SR) methods ha...
01/14/2020 ∙ by Qi Wang, et al. ∙ 0 ∙ share

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NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting

In the last decade, crowd counting attracts much attention of researcher...
01/10/2020 ∙ by Qi Wang, et al. ∙ 4 ∙ share

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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...
12/08/2019 ∙ by Junyu Gao, et al. ∙ 12 ∙ share

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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...
12/08/2019 ∙ by Junyu Gao, et al. ∙ 10 ∙ share

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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 ...
11/19/2019 ∙ by Zhijie Lin, et al. ∙ 0 ∙ share

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Arbitrarily High-order Linear Schemes for Gradient Flow Models

We present a paradigm for developing arbitrarily high order, linear, unc...
10/16/2019 ∙ by Yuezheng Gong, et al. ∙ 0 ∙ share

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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...
10/16/2019 ∙ by Yibing Wang, et al. ∙ 0 ∙ share

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Detecting AI Trojans Using Meta Neural Analysis

Machine learning models, especially neural networks (NNs), have achieved...
10/08/2019 ∙ by Xiaojun Xu, et al. ∙ 27 ∙ share

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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...
09/29/2019 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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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 ...
09/11/2019 ∙ by Qi Wang, et al. ∙ 0 ∙ share

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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...
08/10/2019 ∙ by Junyu Gao, et al. ∙ 7 ∙ share

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Auditable Credential Anonymity Revocation Based on Privacy-Preserving Smart Contracts

Anonymity revocation is an essential component of credential issuing sys...
08/07/2019 ∙ by Rujia Li, et al. ∙ 0 ∙ share

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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...
08/02/2019 ∙ by Ka Hin Leung, et al. ∙ 0 ∙ share

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Combinatorial t-designs from quadratic functions

Combinatorial t-designs have been an interesting topic in combinatorics ...
07/14/2019 ∙ by Can Xiang, et al. ∙ 0 ∙ share

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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,...
07/11/2019 ∙ by Yuezheng Gong, et al. ∙ 0 ∙ share

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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...
07/09/2019 ∙ by Yuezheng Gong, et al. ∙ 0 ∙ share

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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...
07/06/2019 ∙ by Jerod Michel, et al. ∙ 0 ∙ share

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Estimating Commuting Patterns from High Resolution Phone GPS Data

The rise of location positioning technologies has generated enormous vol...
06/19/2019 ∙ by Bita Sadeghinasr, et al. ∙ 0 ∙ share

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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...
05/24/2019 ∙ by Junyu Gao, et al. ∙ 0 ∙ share

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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...
05/07/2019 ∙ by Qi Wang, et al. ∙ 0 ∙ share

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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...
05/05/2019 ∙ by Qi Wang, et al. ∙ 10 ∙ share

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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), ...
05/05/2019 ∙ by Chengze Wang, et al. ∙ 0 ∙ share

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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...
05/05/2019 ∙ by Qi Wang, et al. ∙ 0 ∙ share

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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...
05/05/2019 ∙ by Yuan Yuan, et al. ∙ 8 ∙ share

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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 ...
05/05/2019 ∙ by Qi Wang, et al. ∙ 4 ∙ share

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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. ...
05/05/2019 ∙ by Qi Wang, et al. ∙ 4 ∙ share

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Early Action Prediction with Generative Adversarial Networks

Action Prediction is aimed to determine what action is occurring in a vi...
04/30/2019 ∙ by Dong Wang, et al. ∙ 8 ∙ share

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Memory-Augmented Temporal Dynamic Learning for Action Recognition

Human actions captured in video sequences contain two crucial factors fo...
04/30/2019 ∙ by Yuan Yuan, et al. ∙ 0 ∙ share

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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 ...
04/30/2019 ∙ by Yuan Yuan, et al. ∙ 10 ∙ share

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Cross-Modal Message Passing for Two-stream Fusion

Processing and fusing information among multi-modal is a very useful tec...
04/30/2019 ∙ by Dong Wang, et al. ∙ 0 ∙ share

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Optimal Clustering Framework for Hyperspectral Band Selection

Band selection, by choosing a set of representative bands in hyperspectr...
04/30/2019 ∙ by Qi Wang, et al. ∙ 16 ∙ share

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Qi Wang

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