Cheng Wang

Review: deep learning on 3D point clouds

Point cloud is point sets defined in 3D metric space. Point cloud has be...
01/17/2020 ∙ by Saifullahi Aminu Bello, et al. ∙ 97 ∙ share

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State-Regularized Recurrent Neural Networks

Recurrent neural networks are a widely used class of neural architecture...
01/25/2019 ∙ by Cheng Wang, et al. ∙ 16 ∙ share

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LO-Net: Deep Real-time Lidar Odometry

We present a novel deep convolutional network pipeline, LO-Net, for real...
04/17/2019 ∙ by Qing Li, et al. ∙ 16 ∙ share

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Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling

Fully exploring correlation among points in point clouds is essential fo...
12/23/2019 ∙ by Wenkai Han, et al. ∙ 15 ∙ share

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RF-Net: An End-to-End Image Matching Network based on Receptive Field

This paper proposes a new end-to-end trainable matching network based on...
06/03/2019 ∙ by Xuelun Shen, et al. ∙ 8 ∙ share

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Unsupervised Domain Adaptive Re-Identification: Theory and Practice

We study the problem of unsupervised domain adaptive re-identification (...
07/30/2018 ∙ by Liangchen Song, et al. ∙ 4 ∙ share

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PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds

Middle-echo, which covers one or a few corresponding points, is a specif...
06/20/2019 ∙ by Jonathan Li, et al. ∙ 3 ∙ share

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Accelerating Mini-batch SARAH by Step Size Rules

StochAstic Recursive grAdient algoritHm (SARAH), originally proposed for...
06/20/2019 ∙ by Zhuang Yang, et al. ∙ 2 ∙ share

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RRA: Recurrent Residual Attention for Sequence Learning

In this paper, we propose a recurrent neural network (RNN) with residual...
09/12/2017 ∙ by Cheng Wang, et al. ∙ 0 ∙ share

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Traffic Sign Timely Visual Recognizability Evaluation Based on 3D Measurable Point Clouds

The timely provision of traffic sign information to drivers is essential...
10/10/2017 ∙ by Shanxin Zhang, et al. ∙ 0 ∙ share

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Image Captioning with Deep Bidirectional LSTMs

This work presents an end-to-end trainable deep bidirectional LSTM (Long...
04/04/2016 ∙ by Cheng Wang, et al. ∙ 0 ∙ share

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Partial Procedural Geometric Model Fitting for Point Clouds

Geometric model fitting is a fundamental task in computer graphics and c...
10/17/2016 ∙ by Zongliang Zhang, et al. ∙ 0 ∙ share

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Composite Behavioral Modeling for Identity Theft Detection in Online Social Networks

In this work, we aim at building a bridge from poor behavioral data to a...
01/21/2018 ∙ by Cheng Wang, et al. ∙ 0 ∙ share

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Artificial Impostors for Location Privacy Preservation

The progress of location-based services has led to serious concerns on l...
01/21/2018 ∙ by Cheng Wang, et al. ∙ 0 ∙ share

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Dynamic Output Feedback Guaranteed-Cost Synchronization for Multiagent Networks with Given Cost Budgets

The current paper addresses the distributed guaranteed-cost synchronizat...
02/22/2018 ∙ by Jianxiang Xi, et al. ∙ 0 ∙ share

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LRMM: Learning to Recommend with Missing Modalities

Multimodal learning has shown promising performance in content-based rec...
08/21/2018 ∙ by Cheng Wang, et al. ∙ 0 ∙ share

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RealPoint3D: Point Cloud Generation from a Single Image with Complex Background

3D point cloud generation by the deep neural network from a single image...
09/08/2018 ∙ by Yan Xia, et al. ∙ 0 ∙ share

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Geometric Multi-Model Fitting by Deep Reinforcement Learning

This paper deals with the geometric multi-model fitting from noisy, unst...
09/22/2018 ∙ by Zongliang Zhang, et al. ∙ 0 ∙ share

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GEEC: Scalable, Efficient, and Consistent Consensus for Blockchains

Blockchain technology has the potential to deploy broad decentralized ap...
08/07/2018 ∙ by Xusheng Chen, et al. ∙ 0 ∙ share

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NeuroTreeNet: A New Method to Explore Horizontal Expansion Network

It is widely recognized that the deeper networks or networks with more f...
11/22/2018 ∙ by Shenlong Lou, et al. ∙ 0 ∙ share

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Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression

Quadratic regression goes beyond the linear model by simultaneously incl...
01/22/2019 ∙ by Cheng Wang, et al. ∙ 0 ∙ share

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RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems

Data sparsity and data imbalance are practical and challenging issues in...
03/26/2019 ∙ by Cheng Wang, et al. ∙ 0 ∙ share

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Integrating and querying similar tables from PDF documents using deep learning

Large amount of public data produced by enterprises are in semi-structur...
01/15/2019 ∙ by Rahul Anand, et al. ∙ 0 ∙ share

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An efficient ADMM algorithm for high dimensional precision matrix estimation via penalized quadratic loss

The estimation of high dimensional precision matrices has been a central...
11/12/2018 ∙ by Cheng Wang, et al. ∙ 0 ∙ share

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Fast Regularity-Constrained Plane Reconstruction

Man-made environments typically comprise planar structures that exhibit ...
05/20/2019 ∙ by Yangbin Lin, et al. ∙ 0 ∙ share

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A Fast Iterative Algorithm for High-dimensional Differential Network

Differential network is an important tool to capture the changes of cond...
01/22/2019 ∙ by Zhou Tang, et al. ∙ 0 ∙ share

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An Energy Stable BDF2 Fourier Pseudo-Spectral Numerical Scheme for the Square Phase Field Crystal Equation

In this paper we propose and analyze an energy stable numerical scheme f...
06/28/2019 ∙ by Kelong Cheng, et al. ∙ 0 ∙ share

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A stabilized second order exponential time differencing multistep method for thin film growth model without slope selection

In this paper, a stabilized second order in time accurate linear exponen...
07/04/2019 ∙ by Wenbin Chen, et al. ∙ 0 ∙ share

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Second-order semi-implicit projection methods for micromagnetics simulations

Micromagnetics simulations require accurate approximation of the magneti...
07/04/2019 ∙ by Changjian Xie, et al. ∙ 0 ∙ share

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Convergence analysis of a numerical scheme for the porous medium equation by an energetic variational approach

The porous medium equation (PME) is a typical nonlinear degenerate parab...
10/09/2019 ∙ by Chenghua Duan, et al. ∙ 0 ∙ share

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Limited-budget output consensus for descriptor multiagent systems with energy constraints

The current paper deals with limited-budget output consensus for descrip...
09/18/2019 ∙ by Jianxiang Xi, et al. ∙ 0 ∙ share

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A Positive and Energy Stable Numerical Scheme for the Poisson-Nernst-Planck-Cahn-Hilliard Equations with Steric Interactions

We consider numerical methods for the Poisson-Nernst-Planck-Cahn-Hilliar...
02/22/2020 ∙ by Yiran Qian, et al. ∙ 0 ∙ share

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Cheng Wang

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