Qing Zhu | DeepAI

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Featured Co-authors

Yu Liu
160 publications
Yi Li
138 publications
Cheng Wang
106 publications
Bo Xu
94 publications
Lin Chen
90 publications
Han Hu
90 publications
Ajmal Mian
74 publications
Jian Peng
66 publications
Min Chen
63 publications
Chao Liu
56 publications
Haifeng Li
49 publications

∙ 04/14/2023

BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive Learning

Automatic and periodic recompiling of building databases with up-to-date...

0 Cheng Liao, et al. ∙

∙ 04/12/2023

SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks

Most urban applications necessitate building footprints in the form of c...

0 Haojia Yu, et al. ∙

∙ 03/30/2023

Semantic Image Translation for Repairing the Texture Defects of Building Models

The accurate representation of 3D building models in urban environments ...

0 Qisen Shang, et al. ∙

∙ 11/15/2022

Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works

Deep learning has achieved great success in learning features from massi...

0 Chao Tao, et al. ∙

∙ 04/10/2022

TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning

Do we on the right way for remote sensing image understanding (RSIU) by ...

0 Chao Tao, et al. ∙

∙ 01/22/2022

Semi-Supervised Adversarial Recognition of Refined Window Structures for Inverse Procedural Façade Modeling

Deep learning methods are notoriously data-hungry, which requires a larg...

2 Han Hu, et al. ∙

∙ 11/23/2021

Reviewing continual learning from the perspective of human-level intelligence

Humans' continual learning (CL) ability is closely related to Stability ...

2 Yifan Chang, et al. ∙

∙ 06/30/2021

Curvature Graph Neural Network

Graph neural networks (GNNs) have achieved great success in many graph-b...

0 Haifeng Li, et al. ∙

∙ 06/20/2021

Remote Sensing Images Semantic Segmentation with General Remote Sensing Vision Model via a Self-Supervised Contrastive Learning Method

A new learning paradigm, self-supervised learning (SSL), can be used to ...

9 Haifeng Li, et al. ∙

∙ 03/02/2021

Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks

One of the key problems of GNNs is how to describe the importance of nei...

0 Haifeng Li, et al. ∙

∙ 11/26/2020

Depth-Enhanced Feature Pyramid Network for Occlusion-Aware Verification of Buildings from Oblique Images

Detecting the changes of buildings in urban environments is essential. E...

20 Qing Zhu, et al. ∙

∙ 11/23/2020

Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment

Photogrammetric mesh models obtained from aerial oblique images have bee...

0 Qing Zhu, et al. ∙

∙ 06/11/2020

Minimum Potential Energy of Point Cloud for Robust Global Registration

In this paper, we propose a novel minimum gravitational potential energy...

0 Zijie Wu, et al. ∙

∙ 02/21/2020

Leveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D Reconstruction

Integration of aerial and ground images has been proved as an efficient ...

0 Qing Zhu, et al. ∙

∙ 02/20/2020

Fast and Regularized Reconstruction of Building Façades from Street-View Images using Binary Integer Programming

Regularized arrangement of primitives on building façades to aligned loc...

0 Han Hu, et al. ∙

∙ 02/20/2020

Deep Fusion of Local and Non-Local Features for Precision Landslide Recognition

Precision mapping of landslide inventory is crucial for hazard mitigatio...

0 Qing Zhu, et al. ∙

∙ 10/26/2019

MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery

Accurately and efficiently extracting building footprints from a wide ra...

23 Qing Zhu, et al. ∙

∙ 06/20/2019

PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds

Middle-echo, which covers one or a few corresponding points, is a specif...

3 Jonathan Li, et al. ∙

∙ 12/04/2018

Overcoming Catastrophic Forgetting by Soft Parameter Pruning

Catastrophic forgetting is a challenge issue in continual learning when ...

0 Jian Peng, et al. ∙

∙ 10/22/2018

Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection

The key factor of scene change detection is to learn effective feature t...

2 Enqiang Guo, et al. ∙

∙ 08/19/2018

A Fast and Robust Matching Framework for Multimodal Remote Sensing Image Registration

While image registration has been studied in remote sensing community fo...

0 Yuanxin Ye, et al. ∙