
Consistent TwoFlow Network for TeleRegistration of Point Clouds
Rigid registration of partial observations is a fundamental problem in v...
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ZeroInertia Limit: from Particle Swarm Optimization to Consensus Based Optimization
Recently a continuous description of the particle swarm optimization (PS...
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VGFNet: VisualGeometric Fusion Learning for Simultaneous Drone Navigation and Height Mapping
The drone navigation requires the comprehensive understanding of both vi...
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Hausdorff Point Convolution with Geometric Priors
Without a shapeaware response, it is hard to characterize the 3D geomet...
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Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization
Autonomous 3D acquisition of outdoor environments poses special challeng...
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Differentiable RefractionTracing for Mesh Reconstruction of Transparent Objects
Capturing the 3D geometry of transparent objects is a challenging task, ...
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Object Properties Inferring from and Transfer for Human Interaction Motions
Humans regularly interact with their surrounding objects. Such interacti...
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Abnormal activity capture from passenger flow of elevator based on unsupervised learning and finegrained multilabel recognition
We present a workflow which aims at capturing residents' abnormal activ...
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Sparse Gaussian Process Based On Hat Basis Functions
Gaussian process is one of the most popular nonparametric Bayesian meth...
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GraftNet: An Engineering Implementation of CNN for Finegrained Multilabel Task
Multilabel networks with branches are proved to perform well in both ac...
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Efficient qInteger Linear Decomposition of Multivariate Polynomials
We present two new algorithms for the computation of the qinteger linea...
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ConsensusBased Optimization on the Sphere I: WellPosedness and MeanField Limit
We introduce a new stochastic KuramotoVicsektype model for global opti...
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Consensusbased Optimization on the Sphere II: Convergence to Global Minimizers and Machine Learning
We present the implementation of a new stochastic KuramotoVicsektype m...
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ETNet: Error Transition Network for Arbitrary Style Transfer
Numerous valuable efforts have been devoted to achieving arbitrary style...
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Efficient Rational Creative Telescoping
We present a new algorithm to compute minimal telescopers for rational f...
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Learning Elastic Constitutive Material and Damping Models
The fidelity of a deformation simulation is highly dependent upon the un...
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Active Scene Understanding via Online Semantic Reconstruction
We propose a novel approach to robotoperated active understanding of un...
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Constructing minimal telescopers for rational functions in three discrete variables
We present a new algorithm for constructing minimal telescopers for rati...
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LOGAN: Unpaired Shape Transform in Latent Overcomplete Space
We present LOGAN, a deep neural network aimed at learning generic shape ...
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Bias detection of PM_2.5 monitor readings using hidden dynamic geostatistical calibration model
Accurate and reliable data stream plays an important role in air quality...
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Patchbased Progressive 3D Point Set Upsampling
We present a detaildriven deep neural network for point set upsampling....
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Pairwise Exchangeable Feature Extraction for Arbitrary Style Transfer
Style transfer has been an important topic in both computer vision and g...
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Neural Material: Learning Elastic Constitutive Material and Damping Models from Sparse Data
The accuracy and fidelity of deformation simulations are highly dependen...
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Structureaware Generative Network for 3DShape Modeling
We present SAGNet, a structureaware generative model for 3D shapes. Giv...
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SpeculartoDiffuse Translation for MultiView Reconstruction
Most multiview 3D reconstruction algorithms, especially when shapefrom...
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ObjectAware Guidance for Autonomous Scene Reconstruction
To carry out autonomous 3D scanning and online reconstruction of unknown...
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NonStationary Texture Synthesis by Adversarial Expansion
The real world exhibits an abundance of nonstationary textures. Example...
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Full 3D Reconstruction of Transparent Objects
Numerous techniques have been proposed for reconstructing 3D models for ...
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P2PNET: Bidirectional Point Displacement Net for Shape Transform
We introduce P2PNET, a generalpurpose deep neural network which learns...
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P2PNET: Bidirectional Point Displacement Network for Shape Transform
We introduce P2PNET, a generalpurpose deep neural network which learns...
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Definite Sums of Hypergeometric Terms and Limits of PRecursive Sequences
The ubiquity of the class of Dfinite functions and Precursive sequence...
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Ultimate Positivity of Diagonals of Quasirational Functions
The problem to decide whether a given multivariate (quasi)rational func...
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Dfinite Numbers
Dfinite functions and Precursive sequences are defined in terms of lin...
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New Bounds for Hypergeometric Creative Telescoping
Based on a modified version of AbramovPetkovšek reduction, a new algori...
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Faster gradient descent and the efficient recovery of images
Much recent attention has been devoted to gradient descent algorithms wh...
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Hui Huang
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