Hongruixuan Chen

Orcid: 0000-0003-0100-4786

According to our database1, Hongruixuan Chen authored at least 28 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model.
IEEE Trans. Geosci. Remote. Sens., 2024

ObjFormer: Learning Land-Cover Changes From Paired OSM Data and Optical High-Resolution Imagery via Object-Guided Transformer.
IEEE Trans. Geosci. Remote. Sens., 2024

Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and Benchmark.
IEEE Geosci. Remote. Sens. Lett., 2024

CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentation.
CoRR, 2024

SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery.
CoRR, 2024

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model.
CoRR, 2024

ChangeMamba: Remote Sensing Change Detection with Spatio-Temporal State Space Model.
CoRR, 2024

Deep learning for multi-label classification of coral conditions in the Indo-Pacific via underwater photogrammetry.
CoRR, 2024

SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

OpenEarthMap Benchmark Suite and Its Applications.
Proceedings of the IGARSS 2024, 2024

Change Detection between Optical Remote Sensing Imagery and Map Data Via Segment Anything Model (SAM).
Proceedings of the IGARSS 2024, 2024

2023
Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Land-cover change detection using paired OpenStreetMap data and optical high-resolution imagery via object-guided Transformer.
CoRR, 2023

Exchange means change: an unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange.
CoRR, 2023

2022
Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning.
IEEE Trans. Geosci. Remote. Sens., 2022

Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network.
IEEE Trans. Cybern., 2022

Dual-Tasks Siamese Transformer Framework for Building Damage Assessment.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer.
CoRR, 2021

Towards Deep and Efficient: A Deep Siamese Self-Attention Fully Efficient Convolutional Network for Change Detection in VHR Images.
CoRR, 2021

An investigation of traffic density changes inside Wuhan during the COVID-19 epidemic with GF-2 time-series images.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network.
IEEE Trans. Geosci. Remote. Sens., 2020

A Measurement of Transportation Ban inside Wuhan on the COVID-19 Epidemic by Vehicle Detection in Remote Sensing Imagery.
CoRR, 2020

DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection.
CoRR, 2020

Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images.
CoRR, 2020

2019
Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network.
CoRR, 2019

Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images.
Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019


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