Wuhan University

research

∙ 05/17/2020

Deep Learning for Community Detection: Progress, Challenges and Opportunities

As communities represent similar opinions, similar functions, similar pu...

Fanzhen Liu, et al. ∙

research

∙ 06/03/2020

Self-supervised Training of Graph Convolutional Networks

Graph Convolutional Networks (GCNs) have been successfully applied to an...

Qikui Zhu, et al. ∙

research

∙ 11/20/2019

RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal

Residual images and illumination estimation have been proved very helpfu...

Ling Zhang, et al. ∙

research

∙ 01/24/2019

Deep Generative Learning via Variational Gradient Flow

We propose a general framework to learn deep generative models via Varia...

Gao Yuan, et al. ∙

research

∙ 04/14/2022

Cross-Image Relational Knowledge Distillation for Semantic Segmentation

Current Knowledge Distillation (KD) methods for semantic segmentation of...

Chuanguang Yang, et al. ∙

research

∙ 04/09/2020

Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization

Location is key to spatialize internet-of-things (IoT) data. However, it...

You Li, et al. ∙

research

∙ 01/21/2020

S^2OMGAN: Shortcut from Remote Sensing Images to Online Maps

Traditional online maps, widely used on Internet such as Google map and ...

X. Chen, et al. ∙

research

∙ 12/18/2019

Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

With the development of Earth observation technology, very-high-resoluti...

Chen Wu, et al. ∙

research

∙ 12/15/2021

Self-Ensembling GAN for Cross-Domain Semantic Segmentation

Deep neural networks (DNNs) have greatly contributed to the performance ...

Yonghao Xu, et al. ∙

research

∙ 01/03/2020

Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model

The nonliteral interpretation of a text is hard to be understood by mach...

Guoxiu He, et al. ∙

research

∙ 06/06/2022

WHU-Stereo: A Challenging Benchmark for Stereo Matching of High-Resolution Satellite Images

Stereo matching of high-resolution satellite images (HRSI) is still a fu...

Shenhong Li, et al. ∙

research

∙ 11/22/2021

CATNet: Context AggregaTion Network for Instance Segmentation in Remote Sensing Images

The task of instance segmentation in remote sensing images, aiming at pe...

Ye Liu, et al. ∙

research

∙ 06/28/2020

Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion

Accurate 3D reconstruction of the hand and object shape from a hand-obje...

Yujin Chen, et al. ∙

research

∙ 11/01/2018

Deep Learning Based Gait Recognition Using Smartphones in the Wild

Comparing with other biometrics, gait has advantages of being unobtrusiv...

Qin Zou, et al. ∙

research

∙ 03/26/2020

Zero-Assignment Constraint for Graph Matching with Outliers

Graph matching (GM), as a longstanding problem in computer vision and pa...

Fudong Wang, et al. ∙

research

∙ 08/19/2021

Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception

Perceptual quality assessment of the videos acquired in the wilds is of ...

Bowen Li, et al. ∙

research

∙ 05/16/2022

A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration

Registration is a basic yet crucial task in point cloud processing. In c...

Li Yan, et al. ∙

research

∙ 05/12/2022

Robot Cooking with Stir-fry: Bimanual Non-prehensile Manipulation of Semi-fluid Objects

This letter describes an approach to achieve well-known Chinese cooking ...

Junjia Liu, et al. ∙

research

∙ 06/03/2020

Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion

Classifying multi-temporal scene land-use categories and detecting their...

Lixiang Ru, et al. ∙

research

∙ 04/30/2020

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

The present MVS methods with deep learning have an impressive performanc...

Baichuan Huang, et al. ∙

research

∙ 08/25/2019

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns

Person re-identification (re-ID) is the task of matching person images a...

Zhibo Wang, et al. ∙

research

∙ 09/30/2019

LIP: Learning Instance Propagation for Video Object Segmentation

In recent years, the task of segmenting foreground objects from backgrou...

Ye Lyu, et al. ∙

research

∙ 04/21/2022

DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation

Monocular 6D pose estimation is a fundamental task in computer vision. E...

Tuo Cao, et al. ∙

research

∙ 03/07/2020

Semantic Change Pattern Analysis

Change detection is an important problem in vision field, especially for...

Wensheng Cheng, et al. ∙

research

∙ 07/21/2020

Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach

Few-shot learning is a challenging problem that has attracted more and m...

Xian Zhong, et al. ∙

research

∙ 01/24/2022

Consistent 3D Hand Reconstruction in Video via self-supervised Learning

We present a method for reconstructing accurate and consistent 3D hands ...

Zhigang Tu, et al. ∙

research

∙ 04/28/2022

Learning to Extract Building Footprints from Off-Nadir Aerial Images

Extracting building footprints from aerial images is essential for preci...

Jinwang Wang, et al. ∙

research

∙ 04/14/2019

Robust and Discriminative Labeling for Multi-label Active Learning Based on Maximum Correntropy Criterion

Multi-label learning draws great interests in many real world applicatio...

Bo Du, et al. ∙

research

∙ 04/22/2019

Learning to Calibrate Straight Lines for Fisheye Image Rectification

This paper presents a new deep-learning based method to simultaneously c...

Zhucun Xue, et al. ∙

research

∙ 09/08/2021

Learning Local-Global Contextual Adaptation for Fully End-to-End Bottom-Up Human Pose Estimation

This paper presents a method of learning Local-GlObal Contextual Adaptat...

Nan Xue, et al. ∙

research

∙ 10/17/2021

LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Deep learning approaches have shown promising results in remote sensing ...

Junjue Wang, et al. ∙

research

∙ 05/24/2022

Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning

Recently, deploying deep neural network (DNN) models via collaborative i...

Zhiwei Hao, et al. ∙

research

∙ 08/18/2021

Towards Deep and Efficient: A Deep Siamese Self-Attention Fully Efficient Convolutional Network for Change Detection in VHR Images

Recently, FCNs have attracted widespread attention in the CD field. In p...

Hongruixuan Chen, et al. ∙

research

∙ 02/25/2022

Local Intensity Order Transformation for Robust Curvilinear Object Segmentation

Segmentation of curvilinear structures is important in many applications...

Tianyi Shi, et al. ∙

research

∙ 09/18/2018

Multiple Combined Constraints for Image Stitching

Several approaches to image stitching use different constraints to estim...

Kai Chen, et al. ∙

research

∙ 01/04/2022

Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection

Deep neural networks (DNNs) are threatened by adversarial examples. Adve...

Hui Liu, et al. ∙

research

∙ 01/15/2022

Asymmetric Hash Code Learning for Remote Sensing Image Retrieval

Remote sensing image retrieval (RSIR), aiming at searching for a set of ...

Weiwei Song, et al. ∙

research

∙ 05/02/2022

Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs

Multi-hop reasoning over real-life knowledge graphs (KGs) is a highly ch...

Zhiwei Hu, et al. ∙

research

∙ 05/04/2020

NTIRE 2020 Challenge on Image and Video Deblurring

Motion blur is one of the most common degradation artifacts in dynamic s...

Seungjun Nah, et al. ∙

research

∙ 01/04/2021

Frequency Principle in Deep Learning Beyond Gradient-descent-based Training

Frequency perspective recently makes progress in understanding deep lear...

Yuheng Ma, et al. ∙

research

∙ 07/28/2021

CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation

Generating photo-realistic images from a text description is a challengi...

Tao Hu, et al. ∙

research

∙ 07/27/2022

Leveraging GAN Priors for Few-Shot Part Segmentation

Few-shot part segmentation aims to separate different parts of an object...

Mengya Han, et al. ∙

research

∙ 06/27/2019

Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images

Very high resolution (VHR) images provide abundant ground details and sp...

Hongruixuan Chen, et al. ∙

research

∙ 03/10/2020

DymSLAM:4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation

Most SLAM algorithms are based on the assumption that the scene is stati...

Chenjie Wang, et al. ∙

research

∙ 04/21/2020

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

We proposed an unsupervised learning-based network, named NPF-MVSNet, fo...

Baichuan Huang, et al. ∙

research

∙ 06/16/2020

DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection

Change detection (CD) is one of the most vital applications in remote se...

Hongruixuan Chen, et al. ∙

research

∙ 09/20/2021

PC2-PU: Patch Correlation and Position Correction for Effective Point Cloud Upsampling

Point cloud upsampling is to densify a sparse point set acquired from 3D...

Chen Long, et al. ∙

research

∙ 05/24/2022

CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing

Recently, the compression and deployment of powerful deep neural network...

Zhiwei Hao, et al. ∙

research

∙ 06/25/2019

Perceptual Generative Autoencoders

Modern generative models are usually designed to match target distributi...

Zijun Zhang, et al. ∙

research

∙ 08/21/2020

Align Deep Features for Oriented Object Detection

The past decade has witnessed significant progress on detecting objects ...

Jiaming Han, et al. ∙

Wuhan University

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