
Imitating Interactive Intelligence
A common vision from science fiction is that robots will one day inhabit...
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Deep KeypointBased Camera Pose Estimation with Geometric Constraints
Estimating relative camera poses from consecutive frames is a fundamenta...
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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...
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SEKGE: A LocationAware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting
Learning knowledge graph (KG) embeddings is an emerging technique for a ...
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SemanticallyEnriched Search Engine for Geoportals: A Case Study with ArcGIS Online
Many geoportals such as ArcGIS Online are established with the goal of i...
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MultiScale Representation Learning for Spatial Feature Distributions using Grid Cells
Unsupervised text encoding models have recently fueled substantial progr...
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Bayesian Semisupervised learning under nonparanormality
Semisupervised learning is a classification method which makes use of b...
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3D Objectness Estimation via Bottomup Regret Grouping
3D objectness estimation, namely discovering semantic objects from 3D sc...
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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...
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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...
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MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
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Constrained Mutual Convex Cone Method for Image Set Based Recognition
In this paper, we propose a method for imageset classification based on...
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Improved Selective Refinement Network for Face Detection
As a longstanding problem in computer vision, face detection has attrac...
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SFA: Small Faces Attention Face Detector
In recent year, tremendous strides have been made in face detection than...
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ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
Autonomous driving has attracted remarkable attention from both industry...
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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...
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ScratchDet:Exploring to Train SingleShot Object Detectors from Scratch
Current stateoftheart object objectors are finetuned from the offth...
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Statistical Inference Attack Against PHYlayer Key Extraction and Countermeasures
The formal theoretical analysis on channel correlations in both real ind...
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Android Malware Detection using Largescale Network Representation Learning
With the growth of mobile devices and applications, the number of malici...
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Android Malware Detection based on Factorization Machine
With the increasing popularity of Android smart phones in recent years, ...
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Bayesian ROC surface estimation under verification bias
The Receiver Operating Characteristic (ROC) surface is a generalization ...
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A Blockwise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization
Many machine learning models, including those with nonsmooth regularize...
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Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization
We study stochastic algorithms for solving nonconvex optimization probl...
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Learning Depth from Monocular Videos using Direct Methods
The ability to predict depth from a single image  using recent advances...
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Semantic Photometric Bundle Adjustment on Natural Sequences
The problem of obtaining dense reconstruction of an object in a natural ...
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ObjectCentric Photometric Bundle Adjustment with Deep Shape Prior
Reconstructing 3D shapes from a sequence of images has long been a probl...
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Rethinking Reprojection: Closing the Loop for Poseaware ShapeReconstruction from a Single Image
An emerging problem in computer vision is the reconstruction of 3D shape...
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Expectile Matrix Factorization for Skewed Data Analysis
Matrix factorization is a popular approach to solving matrix estimation ...
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The Conditional Lucas & Kanade Algorithm
The Lucas & Kanade (LK) algorithm is the method of choice for efficient ...
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Rui Zhu
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