Xidian University

835889 Xidian University is a public research university directly under the Ministry of Education of China, located in Xi'an, China.

Learn to Forget: User-Level Memorization Elimination in Federated Learning

Federated learning is a decentralized machine learning technique that ev...
03/24/2020 ∙ by Yang Liu, et al. ∙ 69 ∙ share

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Stacked Semantic-Guided Network for Zero-Shot Sketch-Based Image Retrieval

Zero-shot sketch-based image retrieval (ZS-SBIR) is a task of cross-doma...
04/03/2019 ∙ by Hao Wang, et al. ∙ 22 ∙ share

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Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network

Although complex-valued (CV) neural networks have shown better classific...
09/29/2019 ∙ by Yice Cao, et al. ∙ 18 ∙ share

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Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition

Existing deep learning methods for action recognition in videos require ...
11/25/2019 ∙ by Yang Liu, et al. ∙ 17 ∙ share

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Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification

Two-stream architecture have shown strong performance in video classific...
03/06/2019 ∙ by De Xie, et al. ∙ 16 ∙ share

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A Light Field Camera Calibration Method Using Sub-Aperture Related Bipartition Projection Model and 4D Corner Detection

Accurate calibration of intrinsic parameters of the light field (LF) cam...
01/11/2020 ∙ by Dongyang Jin, et al. ∙ 15 ∙ share

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Relation Graph Network for 3D Object Detection in Point Clouds

Convolutional Neural Networks (CNNs) have emerged as a powerful strategy...
11/30/2019 ∙ by Mingtao Feng, et al. ∙ 13 ∙ share

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Parameter-Free Spatial Attention Network for Person Re-Identification

Global average pooling (GAP) allows to localize discriminative informati...
11/29/2018 ∙ by Haoran Wang, et al. ∙ 12 ∙ share

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CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation

This paper proposes a novel cascaded U-Net for brain tumor segmentation....
07/17/2019 ∙ by Hongying Liu, et al. ∙ 12 ∙ share

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AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results

This paper reviews the AIM 2019 challenge on real world super-resolution...
11/18/2019 ∙ by Andreas Lugmayr, et al. ∙ 12 ∙ share

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Structure-Feature based Graph Self-adaptive Pooling

Various methods to deal with graph data have been proposed in recent yea...
01/30/2020 ∙ by Liang Zhang, et al. ∙ 11 ∙ share

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A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Prediction

Learning fine-grained details is a key issue in image aesthetic assessme...
12/19/2018 ∙ by Xiaodan Zhang, et al. ∙ 8 ∙ share

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Polarimetric Convolutional Network for PolSAR Image Classification

The approaches for analyzing the polarimetric scattering matrix of polar...
07/09/2018 ∙ by Xu Liu, et al. ∙ 4 ∙ share

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Modern Convex Optimization to Medical Image Analysis

Recently, diagnosis, therapy and monitoring of human diseases involve a ...
09/24/2018 ∙ by Jing Yuan, et al. ∙ 4 ∙ share

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Channel-wise and Spatial Feature Modulation Network for Single Image Super-Resolution

The performance of single image super-resolution has achieved significan...
09/28/2018 ∙ by Yanting Hu, et al. ∙ 4 ∙ share

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Better accuracy with quantified privacy: representations learned via reconstructive adversarial network

The remarkable success of machine learning, especially deep learning, ha...
01/25/2019 ∙ by Sicong Liu, et al. ∙ 4 ∙ share

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Distilling with Residual Network for Single Image Super Resolution

Recently, the deep convolutional neural network (CNN) has made remarkabl...
07/05/2019 ∙ by Xiaopeng Sun, et al. ∙ 4 ∙ share

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A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning

Detecting scene text of arbitrary shapes has been a challenging task ove...
08/15/2019 ∙ by Pengfei Wang, et al. ∙ 4 ∙ share

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Progressive Perception-Oriented Network for Single Image Super-Resolution

Recently, it has been shown that deep neural networks can significantly ...
07/24/2019 ∙ by Zheng Hui, et al. ∙ 3 ∙ share

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Learning Hybrid Sparsity Prior for Image Restoration: Where Deep Learning Meets Sparse Coding

State-of-the-art approaches toward image restoration can be classified i...
07/18/2018 ∙ by Weisheng Dong, et al. ∙ 2 ∙ share

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Deep Adaptive Proposal Network for Object Detection in Optical Remote Sensing Images

Object detection is a fundamental and challenging problem in aerial and ...
07/19/2018 ∙ by Lin Cheng, et al. ∙ 2 ∙ share

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GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering

Deep clustering has achieved state-of-the-art results via joint represen...
02/27/2020 ∙ by Chuang Niu, et al. ∙ 2 ∙ share

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ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition

The ChaLearn large-scale gesture recognition challenge has been run twic...
07/29/2019 ∙ by Jun Wan, et al. ∙ 1 ∙ share

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Fully-Convolutional Measurement Network for Compressive Sensing Image Reconstruction

Recently, deep learning methods have made a significant improvement in c...
11/21/2017 ∙ by Xuemei Xie, et al. ∙ 0 ∙ share

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Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising

Most of the existing denoising algorithms are developed for grayscale im...
05/28/2017 ∙ by Jun Xu, et al. ∙ 0 ∙ share

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Sparse Algorithm for Robust LSSVM in Primal Space

As enjoying the closed form solution, least squares support vector machi...
02/07/2017 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Learning Linear Dynamical Systems with High-Order Tensor Data for Skeleton based Action Recognition

In recent years, there has been renewed interest in developing methods f...
01/14/2017 ∙ by Wenwen Ding, et al. ∙ 0 ∙ share

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Random Sampling for Fast Face Sketch Synthesis

Exemplar-based face sketch synthesis plays an important role in both dig...
01/08/2017 ∙ by Nannan Wang, et al. ∙ 0 ∙ share

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Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning

Cross-domain visual data matching is one of the fundamental problems in ...
05/13/2016 ∙ by Liang Lin, et al. ∙ 0 ∙ share

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Color Constancy with Derivative Colors

Information about the illuminant color is well contained in both achroma...
11/25/2016 ∙ by Huan Lei, et al. ∙ 0 ∙ share

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Gamma Belief Networks

To infer multilayer deep representations of high-dimensional discrete an...
12/09/2015 ∙ by Mingyuan Zhou, et al. ∙ 0 ∙ share

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Sparse Graphical Representation based Discriminant Analysis for Heterogeneous Face Recognition

Face images captured in heterogeneous environments, e.g., sketches gener...
07/01/2016 ∙ by Chunlei Peng, et al. ∙ 0 ∙ share

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Facial Feature Point Detection: A Comprehensive Survey

This paper presents a comprehensive survey of facial feature point detec...
10/04/2014 ∙ by Nannan Wang, et al. ∙ 0 ∙ share

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The Sound and the Fury: Hiding Communications in Noisy Wireless Networks with Interference Uncertainty

Covert communication can prevent the opponent from knowing that a wirele...
12/14/2017 ∙ by Zhihong Liu, et al. ∙ 0 ∙ share

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Interference Steering to Manage Interference

To enable densely deployed base stations (BSs) or access points (APs) to...
12/21/2017 ∙ by Zhao Li, et al. ∙ 0 ∙ share

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DMSS: A Robust Deep Meta Structure Based Similarity Measure in Heterogeneous Information Networks

Similarity measure as a fundamental task in heterogeneous information ne...
12/25/2017 ∙ by Yu Zhou, et al. ∙ 0 ∙ share

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Physical Layer Security-Aware Routing and Performance Tradeoffs in Ad Hoc Networks

The application of physical layer security in ad hoc networks has attrac...
09/08/2016 ∙ by Yang Xu, et al. ∙ 0 ∙ share

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A note on the vertex arboricity of signed graphs

A signed tree-coloring of a signed graph (G,σ) is a vertex coloring c so...
08/10/2017 ∙ by Weichan Liu, et al. ∙ 0 ∙ share

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Time is What Prevents Everything from Happening at Once: Propagation Time-conscious Influence Maximization

The influence maximization (IM) problem as defined in the seminal paper ...
05/31/2017 ∙ by Hui Li, et al. ∙ 0 ∙ share

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Limitation of SDMA in Ultra-Dense Small Cell Networks

Benefitting from multi-user gain brought by multi-antenna techniques, sp...
12/31/2017 ∙ by Junyu Liu, et al. ∙ 0 ∙ share

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Dynamic Interference Steering in Heterogeneous Cellular Networks

With the development of diverse wireless communication technologies, int...
12/30/2017 ∙ by Zhao Li, et al. ∙ 0 ∙ share

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A Semantic-Rich Similarity Measure in Heterogeneous Information Networks

Measuring the similarities between objects in information networks has f...
01/02/2018 ∙ by Yu Zhou, et al. ∙ 0 ∙ share

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State of the Art, Taxonomy, and Open Issues on Cognitive Radio Networks with NOMA

The explosive growth of mobile devices and the rapid increase of wideban...
01/06/2018 ∙ by Fuhui Zhou, et al. ∙ 0 ∙ share

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Combating Error Propagation in Window Decoding of Braided Convolutional Codes

In this paper, we study sliding window decoding of braided convolutional...
01/10/2018 ∙ by Min Zhu, et al. ∙ 0 ∙ share

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Cognitive Non-Orthogonal Multiple Access with Cooperative Relaying: A New Wireless Frontier for 5G Spectrum Sharing

Two emerging technologies towards 5G wireless networks, namely non-ortho...
01/12/2018 ∙ by Lu Lv, et al. ∙ 0 ∙ share

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Content Placement in Cache-Enabled Sub-6 GHz and Millimeter-Wave Multi-antenna Dense Small Cell Networks

This paper studies the performance of cache-enabled dense small cell net...
01/17/2018 ∙ by Yongxu Zhu, et al. ∙ 0 ∙ share

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Denoising Prior Driven Deep Neural Network for Image Restoration

Deep neural networks (DNNs) have shown very promising results for variou...
01/21/2018 ∙ by Weisheng Dong, et al. ∙ 0 ∙ share

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A New Construction of Nonbinary Polar Codes with Two-stage Polarization

In this paper, we propose a new class of nonbinary polar codes with two-...
01/24/2018 ∙ by Peiyao Chen, et al. ∙ 0 ∙ share

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ONCE and ONCE+: Counting the Frequency of Time-constrained Serial Episodes in a Streaming Sequence

As a representative sequential pattern mining problem, counting the freq...
01/29/2018 ∙ by Hui Li, et al. ∙ 0 ∙ share

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Perceptual Compressive Sensing

This paper proposes perceptual compressive sensing. The network is compo...
02/01/2018 ∙ by Xuemei Xie, et al. ∙ 0 ∙ share

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