
Review: deep learning on 3D point clouds
Point cloud is point sets defined in 3D metric space. Point cloud has be...
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StateRegularized Recurrent Neural Networks
Recurrent neural networks are a widely used class of neural architecture...
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LONet: Deep Realtime Lidar Odometry
We present a novel deep convolutional network pipeline, LONet, for real...
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Point2Node: Correlation Learning of DynamicNode for Point Cloud Feature Modeling
Fully exploring correlation among points in point clouds is essential fo...
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RFNet: An EndtoEnd Image Matching Network based on Receptive Field
This paper proposes a new endtoend trainable matching network based on...
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Unsupervised Domain Adaptive ReIdentification: Theory and Practice
We study the problem of unsupervised domain adaptive reidentification (...
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PointNLM: Point NonlocalMeans for vegetation segmentation based on middle echo point clouds
Middleecho, which covers one or a few corresponding points, is a specif...
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Accelerating Minibatch SARAH by Step Size Rules
StochAstic Recursive grAdient algoritHm (SARAH), originally proposed for...
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RRA: Recurrent Residual Attention for Sequence Learning
In this paper, we propose a recurrent neural network (RNN) with residual...
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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...
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Image Captioning with Deep Bidirectional LSTMs
This work presents an endtoend trainable deep bidirectional LSTM (Long...
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Partial Procedural Geometric Model Fitting for Point Clouds
Geometric model fitting is a fundamental task in computer graphics and c...
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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...
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Artificial Impostors for Location Privacy Preservation
The progress of locationbased services has led to serious concerns on l...
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Dynamic Output Feedback GuaranteedCost Synchronization for Multiagent Networks with Given Cost Budgets
The current paper addresses the distributed guaranteedcost synchronizat...
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LRMM: Learning to Recommend with Missing Modalities
Multimodal learning has shown promising performance in contentbased rec...
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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...
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Geometric MultiModel Fitting by Deep Reinforcement Learning
This paper deals with the geometric multimodel fitting from noisy, unst...
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GEEC: Scalable, Efficient, and Consistent Consensus for Blockchains
Blockchain technology has the potential to deploy broad decentralized ap...
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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...
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Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression
Quadratic regression goes beyond the linear model by simultaneously incl...
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RecSysDAN: Discriminative Adversarial Networks for CrossDomain Recommender Systems
Data sparsity and data imbalance are practical and challenging issues in...
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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 semistructur...
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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...
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Fast RegularityConstrained Plane Reconstruction
Manmade environments typically comprise planar structures that exhibit ...
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A Fast Iterative Algorithm for Highdimensional Differential Network
Differential network is an important tool to capture the changes of cond...
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An Energy Stable BDF2 Fourier PseudoSpectral Numerical Scheme for the Square Phase Field Crystal Equation
In this paper we propose and analyze an energy stable numerical scheme f...
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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...
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Secondorder semiimplicit projection methods for micromagnetics simulations
Micromagnetics simulations require accurate approximation of the magneti...
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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...
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Limitedbudget output consensus for descriptor multiagent systems with energy constraints
The current paper deals with limitedbudget output consensus for descrip...
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