Xidian University

research

∙ 03/24/2020

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

Federated learning is a decentralized machine learning technique that ev...

Yang Liu, et al. ∙

research

∙ 01/08/2022

AnomMAN: Detect Anomaly on Multi-view Attributed Networks

Anomaly detection on attributed networks is widely used in web shopping,...

Ling-Hao Chen, et al. ∙

research

∙ 04/21/2022

Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information

Weakly supervised object detection (WSOD) is a challenging task, in whic...

Guanchun Wang, et al. ∙

research

∙ 04/03/2019

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...

Hao Wang, et al. ∙

research

∙ 09/29/2019

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

Although complex-valued (CV) neural networks have shown better classific...

Yice Cao, et al. ∙

research

∙ 11/25/2019

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

Existing deep learning methods for action recognition in videos require ...

Yang Liu, et al. ∙

research

∙ 03/06/2019

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

Two-stream architecture have shown strong performance in video classific...

De Xie, et al. ∙

research

∙ 01/11/2020

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...

Dongyang Jin, et al. ∙

research

∙ 04/23/2020

COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution

A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...

Qingsen Yan, et al. ∙

research

∙ 06/05/2020

MSDU-net: A Multi-Scale Dilated U-net for Blur Detection

Blur detection is the separation of blurred and clear regions of an imag...

Fan Yang, et al. ∙

research

∙ 11/30/2019

Relation Graph Network for 3D Object Detection in Point Clouds

Convolutional Neural Networks (CNNs) have emerged as a powerful strategy...

Mingtao Feng, et al. ∙

research

∙ 11/29/2018

Parameter-Free Spatial Attention Network for Person Re-Identification

Global average pooling (GAP) allows to localize discriminative informati...

Haoran Wang, et al. ∙

research

∙ 07/17/2019

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....

Hongying Liu, et al. ∙

research

∙ 11/18/2019

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

This paper reviews the AIM 2019 challenge on real world super-resolution...

Andreas Lugmayr, et al. ∙

research

∙ 07/27/2021

Unsupervised Outlier Detection using Memory and Contrastive Learning

Outlier detection is one of the most important processes taken to create...

Ning Huyan, et al. ∙

research

∙ 01/30/2020

Structure-Feature based Graph Self-adaptive Pooling

Various methods to deal with graph data have been proposed in recent yea...

Liang Zhang, et al. ∙

research

∙ 05/09/2021

Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search

Single Image Super-Resolution (SISR) tasks have achieved significant per...

Han Huang, et al. ∙

research

∙ 11/16/2021

Image-specific Convolutional Kernel Modulation for Single Image Super-resolution

Recently, deep-learning-based super-resolution methods have achieved exc...

Yuanfei Huang, et al. ∙

research

∙ 12/07/2021

RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition

Recently, a massive number of deep learning based approaches have been s...

Cheng Peng, et al. ∙

research

∙ 12/15/2021

Robust Depth Completion with Uncertainty-Driven Loss Functions

Recovering a dense depth image from sparse LiDAR scans is a challenging ...

Yufan Zhu, et al. ∙

research

∙ 05/09/2020

Cloud-based Federated Boosting for Mobile Crowdsensing

The application of federated extreme gradient boosting to mobile crowdse...

Zhuzhu Wang, et al. ∙

research

∙ 01/07/2022

Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

Recent advances in machine learning and prevalence of digital medical im...

Dingwen Zhang, et al. ∙

research

∙ 12/19/2018

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

Learning fine-grained details is a key issue in image aesthetic assessme...

Xiaodan Zhang, et al. ∙

research

∙ 11/19/2021

Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights Modification

The ability of neural networks (NNs) to learn and remember multiple task...

Yanni Li, et al. ∙

research

∙ 12/17/2021

Community-based Layerwise Distributed Training of Graph Convolutional Networks

The Graph Convolutional Network (GCN) has been successfully applied to m...

Hongyi Li, et al. ∙

research

∙ 12/29/2021

HPRN: Holistic Prior-embedded Relation Network for Spectral Super-Resolution

Spectral super-resolution (SSR) refers to the hyperspectral image (HSI) ...

Chaoxiong Wu, et al. ∙

research

∙ 08/21/2021

SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling

Federated learning enables multiple clients, such as mobile phones and o...

Haowen Lin, et al. ∙

research

∙ 11/17/2021

Trustworthy Long-Tailed Classification

Classification on long-tailed distributed data is a challenging problem,...

Bolian Li, et al. ∙

research

∙ 02/03/2022

Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning

Network virtualization (NV) is a technology with broad application prosp...

Peiying Zhang, et al. ∙

research

∙ 03/18/2022

Ultra-low Latency Spiking Neural Networks with Spatio-Temporal Compression and Synaptic Convolutional Block

Spiking neural networks (SNNs), as one of the brain-inspired models, has...

Changqing Xu, et al. ∙

research

∙ 03/12/2021

Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging

In coded aperture snapshot spectral imaging (CASSI) system, the real-wor...

Tao Huang, et al. ∙

research

∙ 05/10/2021

Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning

Observing a set of images and their corresponding paragraph-captions, a ...

Dandan Guo, et al. ∙

research

∙ 09/04/2021

Stimuli-Aware Visual Emotion Analysis

Visual emotion analysis (VEA) has attracted great attention recently, du...

Jingyuan Yang, et al. ∙

research

∙ 11/29/2021

Radio-Frequency Multi-Mode OAM Detection Based on UCA Samples Learning

Orbital angular momentum (OAM) at radio-frequency provides a novel appro...

Jiabei Fan, et al. ∙

research

∙ 01/01/2022

Robust Region Feature Synthesizer for Zero-Shot Object Detection

Zero-shot object detection aims at incorporating class semantic vectors ...

Peiliang Huang, et al. ∙

research

∙ 06/16/2022

PeQuENet: Perceptual Quality Enhancement of Compressed Video with Adaptation- and Attention-based Network

In this paper we propose a generative adversarial network (GAN) framewor...

Saiping Zhang, et al. ∙

research

∙ 07/09/2018

Polarimetric Convolutional Network for PolSAR Image Classification

The approaches for analyzing the polarimetric scattering matrix of polar...

Xu Liu, et al. ∙

research

∙ 09/24/2018

Modern Convex Optimization to Medical Image Analysis

Recently, diagnosis, therapy and monitoring of human diseases involve a ...

Jing Yuan, et al. ∙

research

∙ 09/28/2018

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

The performance of single image super-resolution has achieved significan...

Yanting Hu, et al. ∙

research

∙ 01/25/2019

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

The remarkable success of machine learning, especially deep learning, ha...

Sicong Liu, et al. ∙

research

∙ 07/05/2019

Distilling with Residual Network for Single Image Super Resolution

Recently, the deep convolutional neural network (CNN) has made remarkabl...

Xiaopeng Sun, et al. ∙

research

∙ 08/15/2019

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...

Pengfei Wang, et al. ∙

research

∙ 07/24/2019

Progressive Perception-Oriented Network for Single Image Super-Resolution

Recently, it has been shown that deep neural networks can significantly ...

Zheng Hui, et al. ∙

research

∙ 08/03/2021

Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation

Semantic segmentation has been continuously investigated in the last ten...

Xiangrong Zhang, et al. ∙

research

∙ 08/21/2021

Integer-arithmetic-only Certified Robustness for Quantized Neural Networks

Adversarial data examples have drawn significant attention from the mach...

Haowen Lin, et al. ∙

research

∙ 08/31/2021

Detecting Mitosis against Domain Shift using a Fused Detector and Deep Ensemble Classification Model for MIDOG Challenge

Mitotic figure count is an important marker of tumor proliferation and h...

Jingtang Liang, et al. ∙

research

∙ 01/20/2022

EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing

High definition (HD) map needs to be updated frequently to capture road ...

Qiang Liu, et al. ∙

research

∙ 07/18/2018

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...

Weisheng Dong, et al. ∙

research

∙ 07/19/2018

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

Object detection is a fundamental and challenging problem in aerial and ...

Lin Cheng, et al. ∙

research

∙ 02/27/2020

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

Deep clustering has achieved state-of-the-art results via joint represen...

Chuang Niu, et al. ∙

Xidian University

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