Xiao Liu

Have you forgotten? A method to assess if machine learning models have forgotten data

In the era of deep learning, aggregation of data from several sources is...
04/21/2020 ∙ by Xiao Liu, et al. ∙ 63 ∙ share

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TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation

In this work, we introduce a new problem, named as story-preserving lon...
10/14/2019 ∙ by Fan Yang, et al. ∙ 34 ∙ share

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Coarse-To-Fine Visual Localization Using Semantic Compact Map

Robust visual localization for urban vehicles remains challenging and un...
10/11/2019 ∙ by Ziwei Liao, et al. ∙ 19 ∙ share

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M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network

The present MVS methods with deep learning have an impressive performanc...
04/30/2020 ∙ by Baichuan Huang, et al. ∙ 14 ∙ share

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Studying Product Competition Using Representation Learning

Studying competition and market structure at the product level instead o...
05/21/2020 ∙ by Fanglin Chen, et al. ∙ 13 ∙ share

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Fine-grained Video Categorization with Redundancy Reduction Attention

For fine-grained categorization tasks, videos could serve as a better so...
10/26/2018 ∙ by Chen Zhu, et al. ∙ 8 ∙ share

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Online Non-convex Learning for River Pollution Source Identification

In this paper, novel gradient based online learning algorithms are devel...
05/22/2020 ∙ by Wenjie Huang, et al. ∙ 8 ∙ share

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NPF-MVSNet: Normal and Pyramid Feature Aided Unsupervised MVS Network

We proposed an unsupervised learning-based network, named NPF-MVSNet, fo...
04/21/2020 ∙ by Baichuan Huang, et al. ∙ 6 ∙ share

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Artificial Intelligence Aided Next-Generation Networks Relying on UAVs

Artificial intelligence (AI) assisted unmanned aerial vehicle (UAV) aide...
01/28/2020 ∙ by Xiao Liu, et al. ∙ 5 ∙ share

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An end-to-end CNN framework for polarimetric vision tasks based on polarization-parameter-constructing network

Pixel-wise operations between polarimetric images are important for proc...
04/19/2020 ∙ by Yong Wang, et al. ∙ 3 ∙ share

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3D Pose Estimation for Fine-Grained Object Categories

Existing object pose estimation datasets are related to generic object t...
06/12/2018 ∙ by Yaming Wang, et al. ∙ 2 ∙ share

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Deep Concept-wise Temporal Convolutional Networks for Action Localization

Existing action localization approaches adopt shallow temporal convoluti...
08/26/2019 ∙ by Xin Li, et al. ∙ 2 ∙ share

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BMN: Boundary-Matching Network for Temporal Action Proposal Generation

Temporal action proposal generation is an challenging and promising task...
07/23/2019 ∙ by Tianwei Lin, et al. ∙ 1 ∙ share

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TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task Learning

This paper introduces our approach to the EmotioNet Challenge 2020. We p...
04/21/2020 ∙ by Pengcheng Wang, et al. ∙ 1 ∙ share

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Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification

Recently, substantial research effort has focused on how to apply CNNs o...
11/27/2017 ∙ by Xiang Long, et al. ∙ 0 ∙ share

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Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification

This paper describes our solution for the video recognition task of Acti...
08/12/2017 ∙ by Yunlong Bian, et al. ∙ 0 ∙ share

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Deep Metric Learning with Angular Loss

The modern image search system requires semantic understanding of image,...
08/04/2017 ∙ by Jian Wang, et al. ∙ 0 ∙ share

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Temporal Modeling Approaches for Large-scale Youtube-8M Video Understanding

This paper describes our solution for the video recognition task of the ...
07/14/2017 ∙ by Fu Li, et al. ∙ 0 ∙ share

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Dynamic Computational Time for Visual Attention

We propose a dynamic computational time model to accelerate the average ...
03/30/2017 ∙ by Zhichao Li, et al. ∙ 0 ∙ share

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Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition

A key challenge in fine-grained recognition is how to find and represent...
05/20/2016 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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Fully Convolutional Attention Networks for Fine-Grained Recognition

Fine-grained recognition is challenging due to its subtle local inter-cl...
03/22/2016 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks

Existing deep convolutional neural networks (CNNs) have shown their grea...
09/13/2015 ∙ by Zhen Zuo, et al. ∙ 0 ∙ share

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A Robust Point Sets Matching Method

Point sets matching method is very important in computer vision, feature...
11/04/2014 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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Deep Speaker: an End-to-End Neural Speaker Embedding System

We present Deep Speaker, a neural speaker embedding system that maps utt...
05/05/2017 ∙ by Chao Li, et al. ∙ 0 ∙ share

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Deep Embedding for Spatial Role Labeling

This paper introduces the visually informed embedding of word (VIEW), a ...
03/28/2016 ∙ by Oswaldo Ludwig, et al. ∙ 0 ∙ share

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Experimentally detecting a quantum change point via Bayesian inference

Detecting a change point is a crucial task in statistics that has been r...
01/23/2018 ∙ by Shang Yu, et al. ∙ 0 ∙ share

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Less is More: Unified Model for Unsupervised Multi-Domain Image-to-Image Translation

In this paper, we aim at solving the multi-domain image-to-image transla...
05/28/2018 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos

YouTube presents an unprecedented opportunity to explore how machine lea...
07/06/2018 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation

Event extraction is of practical utility in natural language processing....
09/24/2018 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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Panda: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models

We propose PANDA, an AdaPtive Noise Augmentation technique to regularize...
10/11/2018 ∙ by Yinan Li, et al. ∙ 0 ∙ share

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Development of a spectral source inverse model by using generalized polynomial chaos

We present a spectral inverse model to estimate a smooth source function...
01/09/2018 ∙ by Kyongmin Yeo, et al. ∙ 0 ∙ share

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Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories

Existing 3D pose datasets of object categories are limited to generic ob...
10/19/2018 ∙ by Yaming Wang, et al. ∙ 0 ∙ share

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StNet: Local and Global Spatial-Temporal Modeling for Action Recognition

Despite the success of deep learning for static image understanding, it ...
11/05/2018 ∙ by Dongliang He, et al. ∙ 0 ∙ share

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AdaPtive Noisy Data Augmentation (PANDA) for Simultaneous Construction Multiple Graph Models

We extend the data augmentation technique (PANDA) by Li et al. (2018) fo...
10/19/2018 ∙ by Yinan Li, et al. ∙ 0 ∙ share

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DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features

As the foundation of driverless vehicle and intelligent robots, Simultan...
01/22/2019 ∙ by Rong Kang, et al. ∙ 0 ∙ share

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Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos

The task of video grounding, which temporally localizes a natural langua...
01/21/2019 ∙ by Dongliang He, et al. ∙ 0 ∙ share

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Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding

Distant supervision for relation extraction is an efficient method to re...
12/22/2018 ∙ by Changsen Yuan, et al. ∙ 0 ∙ share

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Basic Performance Measurements of the Intel Optane DC Persistent Memory Module

Scalable nonvolatile memory DIMMs will finally be commercially available...
03/13/2019 ∙ by Joseph Izraelevitz, et al. ∙ 0 ∙ share

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STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing

Arbitrary attribute editing generally can be tackled by incorporating en...
04/22/2019 ∙ by Ming Liu, et al. ∙ 0 ∙ share

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Adapting Image Super-Resolution State-of-the-arts and Learning Multi-model Ensemble for Video Super-Resolution

Recently, image super-resolution has been widely studied and achieved si...
05/07/2019 ∙ by Chao Li, et al. ∙ 0 ∙ share

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Analysis of Large Heterogeneous Repairable System Reliability Data with Static System Attributes and Dynamic Sensor Measurement in Big Data Environment

In Big Data environment, one pressing challenge facing engineers is to p...
04/01/2019 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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Identifying Cache-Based Side Channels through Secret-Augmented Abstract Interpretation

Cache-based side channels enable a dedicated attacker to reveal program ...
05/30/2019 ∙ by Shuai Wang, et al. ∙ 0 ∙ share

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Open Domain Event Extraction Using Neural Latent Variable Models

We consider open domain event extraction, the task of extracting unconst...
06/17/2019 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs

Entity alignment is the task of linking entities with the same real-worl...
08/22/2019 ∙ by Yuting Wu, et al. ∙ 0 ∙ share

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Image Inpainting with Learnable Bidirectional Attention Maps

Most convolutional network (CNN)-based inpainting methods adopt standard...
09/03/2019 ∙ by Chaohao Xie, et al. ∙ 0 ∙ share

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Jointly Learning Entity and Relation Representations for Entity Alignment

Entity alignment is a viable means for integrating heterogeneous knowled...
09/20/2019 ∙ by Yuting Wu, et al. ∙ 0 ∙ share

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Dynamic Instance Normalization for Arbitrary Style Transfer

Prior normalization methods rely on affine transformations to produce ar...
11/16/2019 ∙ by Yongcheng Jing, et al. ∙ 0 ∙ share

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Statistical Modeling for Spatio-Temporal Data from Physical Convection-Diffusion Processes

This paper proposes a statistical modeling approach for spatio-temporal ...
10/23/2019 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design

A novel framework is proposed for the deployment and passive beamforming...
01/28/2020 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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Predictions of 2019-nCoV Transmission Ending via Comprehensive Methods

Since the SARS outbreak in 2003, a lot of predictive epidemiological mod...
02/12/2020 ∙ by Tianyu Zeng, et al. ∙ 0 ∙ share

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Xiao Liu

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