b'Rui Zhu'

Imitating Interactive Intelligence

A common vision from science fiction is that robots will one day inhabit...
12/10/2020 ∙ by Josh Abramson, et al. ∙ 0 ∙ share

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Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints

Estimating relative camera poses from consecutive frames is a fundamenta...
07/29/2020 ∙ by You-Yi Jau, et al. ∙ 1 ∙ share

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Bounding The Number of Linear Regions in Local Area for Neural Networks with ReLU Activations

The number of linear regions is one of the distinct properties of the ne...
07/14/2020 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting

Learning knowledge graph (KG) embeddings is an emerging technique for a ...
04/25/2020 ∙ by Gengchen Mai, et al. ∙ 7 ∙ share

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Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online

Many geoportals such as ArcGIS Online are established with the goal of i...
03/14/2020 ∙ by Gengchen Mai, et al. ∙ 0 ∙ share

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Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Unsupervised text encoding models have recently fueled substantial progr...
02/16/2020 ∙ by Gengchen Mai, et al. ∙ 0 ∙ share

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Bayesian Semi-supervised learning under nonparanormality

Semi-supervised learning is a classification method which makes use of b...
01/11/2020 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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3D Objectness Estimation via Bottom-up Regret Grouping

3D objectness estimation, namely discovering semantic objects from 3D sc...
12/05/2019 ∙ by Zelin Ye, et al. ∙ 0 ∙ share

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TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction

Link prediction is an important and frequently studied task that contrib...
10/01/2019 ∙ by Ling Cai, et al. ∙ 0 ∙ share

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Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs

Recently, several studies have explored methods for using KG embedding t...
09/30/2019 ∙ by Gengchen Mai, et al. ∙ 0 ∙ share

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MMDetection: Open MMLab Detection Toolbox and Benchmark

We present MMDetection, an object detection toolbox that contains a rich...
06/17/2019 ∙ by Kai Chen, et al. ∙ 1 ∙ share

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Constrained Mutual Convex Cone Method for Image Set Based Recognition

In this paper, we propose a method for image-set classification based on...
03/14/2019 ∙ by Naoya Sogi, et al. ∙ 0 ∙ share

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Improved Selective Refinement Network for Face Detection

As a long-standing problem in computer vision, face detection has attrac...
01/20/2019 ∙ by Shifeng Zhang, et al. ∙ 0 ∙ share

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SFA: Small Faces Attention Face Detector

In recent year, tremendous strides have been made in face detection than...
12/20/2018 ∙ by Shi Luo, et al. ∙ 0 ∙ share

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ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Autonomous driving has attracted remarkable attention from both industry...
11/29/2018 ∙ by Xibin Song, et al. ∙ 6 ∙ share

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A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems

Large models are prevalent in modern machine learning scenarios, includi...
10/19/2018 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch

Current state-of-the-art object objectors are fine-tuned from the off-th...
10/19/2018 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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Statistical Inference Attack Against PHY-layer Key Extraction and Countermeasures

The formal theoretical analysis on channel correlations in both real ind...
09/29/2018 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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Android Malware Detection using Large-scale Network Representation Learning

With the growth of mobile devices and applications, the number of malici...
06/13/2018 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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Android Malware Detection based on Factorization Machine

With the increasing popularity of Android smart phones in recent years, ...
05/30/2018 ∙ by Chenglin Li, et al. ∙ 0 ∙ share

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Bayesian ROC surface estimation under verification bias

The Receiver Operating Characteristic (ROC) surface is a generalization ...
03/18/2018 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization

Many machine learning models, including those with non-smooth regularize...
02/24/2018 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization

We study stochastic algorithms for solving non-convex optimization probl...
02/24/2018 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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Learning Depth from Monocular Videos using Direct Methods

The ability to predict depth from a single image - using recent advances...
12/01/2017 ∙ by Chaoyang Wang, et al. ∙ 0 ∙ share

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Semantic Photometric Bundle Adjustment on Natural Sequences

The problem of obtaining dense reconstruction of an object in a natural ...
11/30/2017 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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Object-Centric Photometric Bundle Adjustment with Deep Shape Prior

Reconstructing 3D shapes from a sequence of images has long been a probl...
11/04/2017 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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Rethinking Reprojection: Closing the Loop for Pose-aware ShapeReconstruction from a Single Image

An emerging problem in computer vision is the reconstruction of 3D shape...
07/15/2017 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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Expectile Matrix Factorization for Skewed Data Analysis

Matrix factorization is a popular approach to solving matrix estimation ...
06/07/2016 ∙ by Rui Zhu, et al. ∙ 0 ∙ share

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The Conditional Lucas & Kanade Algorithm

The Lucas & Kanade (LK) algorithm is the method of choice for efficient ...
03/29/2016 ∙ by Chen-Hsuan Lin, et al. ∙ 0 ∙ share

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Rui Zhu

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