Hongruixuan Chen
Orcid: 0000-0003-0100-4786
According to our database1,
Hongruixuan Chen
authored at least 46 papers
between 2019 and 2025.
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Collaborative distances:
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Bibliography
2025
IEEE Trans. Pattern Anal. Mach. Intell., August, 2025
ChangeBridge: Spatiotemporal Image Generation with Multimodal Controls for Remote Sensing.
CoRR, July, 2025
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response.
CoRR, May, 2025
CoRR, May, 2025
CoRR, April, 2025
Multi-label classification for multi-temporal, multi-spatial coral reef condition monitoring using vision foundation model with adapter learning.
CoRR, March, 2025
OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping.
Dataset, March, 2025
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response.
Dataset, March, 2025
A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and Challenges.
CoRR, February, 2025
OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping.
CoRR, January, 2025
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response.
CoRR, January, 2025
Plug-and-Play DISep: Separating Dense Instances for Scene-to-Pixel Weakly-Supervised Change Detection in High-Resolution Remote Sensing Images.
CoRR, January, 2025
OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping.
Dataset, January, 2025
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response.
Dataset, January, 2025
2024
SynRS3D : A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery.
Dataset, October, 2024
OpenMapCD: A Multimodal Benchmark Dataset for Change Detection Between Optical Remote Sensing and Map Data.
Dataset, June, 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
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
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
SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
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
SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection.
Dataset, September, 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
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