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08/23/2023
Dynamic landslide susceptibility mapping over recent three decades to uncover variations in landslide causes in subtropical urban mountainous areas
Landslide susceptibility assessment (LSA) is of paramount importance in ...
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08/05/2023
SwinGar: Spectrum-Inspired Neural Dynamic Deformation for Free-Swinging Garments
Our work presents a novel spectrum-inspired learning-based approach for ...
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06/07/2023
StructuredMesh: 3D Structured Optimization of Façade Components on Photogrammetric Mesh Models using Binary Integer Programming
The lack of façade structures in photogrammetric mesh models renders the...
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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...
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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...
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03/30/2023
Semantic Image Translation for Repairing the Texture Defects of Building Models
The accurate representation of 3D building models in urban environments ...
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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...
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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 ...
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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...
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11/23/2021
Reviewing continual learning from the perspective of human-level intelligence
Humans' continual learning (CL) ability is closely related to Stability ...
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06/30/2021
Curvature Graph Neural Network
Graph neural networks (GNNs) have achieved great success in many graph-b...
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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 ...
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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...
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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...
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11/23/2020
Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment
Photogrammetric mesh models obtained from aerial oblique images have bee...
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06/11/2020
Minimum Potential Energy of Point Cloud for Robust Global Registration
In this paper, we propose a novel minimum gravitational potential energy...
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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 ...
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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...
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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...
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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...
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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...
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12/04/2018
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Catastrophic forgetting is a challenge issue in continual learning when ...
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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...
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08/19/2018
