Hao Liu

Deep Learning for 3D Point Clouds: A Survey

Point cloud learning has lately attracted increasing attention due to it...
12/27/2019 ∙ by Yulan Guo, et al. ∙ 156 ∙ share

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Triply Robust Off-Policy Evaluation

We propose a robust regression approach to off-policy evaluation (OPE) f...
11/13/2019 ∙ by Anqi Liu, et al. ∙ 37 ∙ share

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Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos

In this paper, we propose a spatial-temporal relational reasoning networ...
12/16/2019 ∙ by Congcong Zhu, et al. ∙ 24 ∙ share

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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...
12/20/2019 ∙ by Hao Liu, et al. ∙ 19 ∙ share

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Sequence-based Person Attribute Recognition with Joint CTC-Attention Model

Attribute recognition has become crucial because of its wide application...
11/20/2018 ∙ by Hao Liu, et al. ∙ 6 ∙ share

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Dense Scale Network for Crowd Counting

Crowd counting has been widely studied by computer vision community in r...
06/24/2019 ∙ by Feng Dai, et al. ∙ 6 ∙ share

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Competitive Experience Replay

Deep learning has achieved remarkable successes in solving challenging r...
02/01/2019 ∙ by Hao Liu, et al. ∙ 4 ∙ share

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Large-scale Bisample Learning on ID vs. Spot Face Recognition

In many face recognition applications, there is large amount of face dat...
06/08/2018 ∙ by Xiangyu Zhu, et al. ∙ 2 ∙ share

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Uncovering the information core in recommender systems

With the rapid growth of the Internet and overwhelming amount of informa...
02/25/2014 ∙ by Wei Zeng, et al. ∙ 0 ∙ share

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Sample-efficient Policy Optimization with Stein Control Variate

Policy gradient methods have achieved remarkable successes in solving ch...
10/30/2017 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions

Deep neural networks are widely used for classification. These deep mode...
10/13/2017 ∙ by Oscar Li, et al. ∙ 0 ∙ share

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Triangle Generative Adversarial Networks

A Triangle Generative Adversarial Network (Δ-GAN) is developed for semi-...
09/19/2017 ∙ by Zhe Gan, et al. ∙ 0 ∙ share

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ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

We investigate the non-identifiability issues associated with bidirectio...
09/05/2017 ∙ by Chunyuan Li, et al. ∙ 0 ∙ share

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Neural Person Search Machines

We investigate the problem of person search in the wild in this work. In...
07/21/2017 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Stochastic Sequential Neural Networks with Structured Inference

Unsupervised structure learning in high-dimensional time series data has...
05/24/2017 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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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...
01/21/2017 ∙ by Manjesh K. Hanawal, et al. ∙ 0 ∙ share

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Video-based Person Re-identification with Accumulative Motion Context

Video based person re-identification plays a central role in realistic s...
01/01/2017 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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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...
12/09/2016 ∙ by Hanbyul Joo, et al. ∙ 0 ∙ share

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End-to-End Comparative Attention Networks for Person Re-identification

Person re-identification across disjoint camera views has been widely ap...
06/14/2016 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering

Along with the prosperity of recurrent neural network in modelling seque...
12/15/2016 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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On Connecting Stochastic Gradient MCMC and Differential Privacy

Significant success has been realized recently on applying machine learn...
12/25/2017 ∙ by Bai Li, et al. ∙ 0 ∙ share

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Multi-View Image Generation from a Single-View

This paper addresses a challenging problem -- how to generate multi-view...
04/17/2017 ∙ by Bo Zhao, et al. ∙ 0 ∙ share

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Dynamic Output Feedback Guaranteed-Cost Synchronization for Multiagent Networks with Given Cost Budgets

The current paper addresses the distributed guaranteed-cost synchronizat...
02/22/2018 ∙ by Jianxiang Xi, et al. ∙ 0 ∙ share

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Variational Inference with Tail-adaptive f-Divergence

Variational inference with α-divergences has been widely used in modern ...
10/29/2018 ∙ by Dilin Wang, et al. ∙ 0 ∙ share

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Adaptive guaranteed-performance consensus design for high-order multiagent systems

The current paper addresses the distributed guaranteed-performance conse...
06/26/2018 ∙ by Jianxiang Xi, et al. ∙ 0 ∙ share

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CIA-Towards a Unified Marketing Optimization Framework for e-Commerce Sponsored Search

As the largest e-commerce platform, Taobao helps advertisers reach billi...
06/15/2018 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Predicting Solar Flares Using a Long Short-Term Memory Network

We present a long short-term memory (LSTM) network for predicting whethe...
05/17/2019 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Estimating Individual Advertising Effect in E-Commerce

Online advertising has been the major monetization approach for Internet...
03/11/2019 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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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....
07/02/2019 ∙ by Yuchen He, et al. ∙ 0 ∙ share

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City traffic forecasting using taxi GPS data: A coarse-grained cellular automata model

City traffic is a dynamic system of enormous complexity. Modeling and pr...
12/08/2016 ∙ by Yucheng Hu, et al. ∙ 0 ∙ share

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Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction

The ability to predict city-wide parking availability is crucial for the...
11/24/2019 ∙ by Weijia Zhang, et al. ∙ 0 ∙ share

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Curvature Regularized Surface Reconstruction from Point Cloud

We propose a variational functional and fast algorithms to reconstruct i...
01/22/2020 ∙ by Yuchen He, et al. ∙ 0 ∙ share

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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...
02/19/2020 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Learning functions varying along an active subspace

Many functions of interest are in a high-dimensional space but exhibit l...
01/22/2020 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Hao Liu

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