
Deep Learning for 3D Point Clouds: A Survey
Point cloud learning has lately attracted increasing attention due to it...
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Triply Robust OffPolicy Evaluation
We propose a robust regression approach to offpolicy evaluation (OPE) f...
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Towards OmniSupervised Face Alignment for Large Scale Unlabeled Videos
In this paper, we propose a spatialtemporal relational reasoning networ...
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A Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compression
Point cloud based 3D visual representation is becoming popular due to it...
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Sequencebased Person Attribute Recognition with Joint CTCAttention Model
Attribute recognition has become crucial because of its wide application...
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Dense Scale Network for Crowd Counting
Crowd counting has been widely studied by computer vision community in r...
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Competitive Experience Replay
Deep learning has achieved remarkable successes in solving challenging r...
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Largescale Bisample Learning on ID vs. Spot Face Recognition
In many face recognition applications, there is large amount of face dat...
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Uncovering the information core in recommender systems
With the rapid growth of the Internet and overwhelming amount of informa...
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Sampleefficient Policy Optimization with Stein Control Variate
Policy gradient methods have achieved remarkable successes in solving ch...
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Deep Learning for CaseBased Reasoning through Prototypes: A Neural Network that Explains Its Predictions
Deep neural networks are widely used for classification. These deep mode...
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Triangle Generative Adversarial Networks
A Triangle Generative Adversarial Network (ΔGAN) is developed for semi...
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ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
We investigate the nonidentifiability issues associated with bidirectio...
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Neural Person Search Machines
We investigate the problem of person search in the wild in this work. In...
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Stochastic Sequential Neural Networks with Structured Inference
Unsupervised structure learning in highdimensional time series data has...
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Learning Policies for Markov Decision Processes from Data
We consider the problem of learning a policy for a Markov decision proce...
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Videobased Person Reidentification with Accumulative Motion Context
Video based person reidentification plays a central role in realistic s...
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Panoptic Studio: A Massively Multiview System for Social Interaction Capture
We present an approach to capture the 3D motion of a group of people eng...
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EndtoEnd Comparative Attention Networks for Person Reidentification
Person reidentification across disjoint camera views has been widely ap...
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Recurrent Image Captioner: Describing Images with SpatialInvariant Transformation and Attention Filtering
Along with the prosperity of recurrent neural network in modelling seque...
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On Connecting Stochastic Gradient MCMC and Differential Privacy
Significant success has been realized recently on applying machine learn...
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MultiView Image Generation from a SingleView
This paper addresses a challenging problem  how to generate multiview...
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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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Variational Inference with Tailadaptive fDivergence
Variational inference with αdivergences has been widely used in modern ...
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Adaptive guaranteedperformance consensus design for highorder multiagent systems
The current paper addresses the distributed guaranteedperformance conse...
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CIATowards a Unified Marketing Optimization Framework for eCommerce Sponsored Search
As the largest ecommerce platform, Taobao helps advertisers reach billi...
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Predicting Solar Flares Using a Long ShortTerm Memory Network
We present a long shortterm memory (LSTM) network for predicting whethe...
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Estimating Individual Advertising Effect in ECommerce
Online advertising has been the major monetization approach for Internet...
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Fast Algorithms for Surface Reconstruction from Point Cloud
We consider constructing a surface from a given set of point cloud data....
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City traffic forecasting using taxi GPS data: A coarsegrained cellular automata model
City traffic is a dynamic system of enormous complexity. Modeling and pr...
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SemiSupervised Hierarchical Recurrent Graph Neural Network for CityWide Parking Availability Prediction
The ability to predict citywide parking availability is crucial for the...
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Curvature Regularized Surface Reconstruction from Point Cloud
We propose a variational functional and fast algorithms to reconstruct i...
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An Alternating Direction Explicit Method for Time Evolution Equations with Applications to Fractional Differential Equations
We derive and analyze the alternating direction explicit (ADE) method fo...
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Learning functions varying along an active subspace
Many functions of interest are in a highdimensional space but exhibit l...
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Hao Liu
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Associate Professor / Master Instructor at Beihang University School of Astronautics