Yansheng Li

Orcid: 0000-0001-8203-1246

Affiliations:
  • Wuhan University, School of Remote Sensing and Information Engineering, China


According to our database1, Yansheng Li authored at least 84 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Trusted Multimodal Socio-Cyber Sentiment Analysis Based on Disentangled Hierarchical Representation Learning.
IEEE Trans. Comput. Soc. Syst., August, 2024

MMKDGAT: Multi-modal Knowledge graph-aware Deep Graph Attention Network for remote sensing image recommendation.
Expert Syst. Appl., January, 2024

Progressive Learning With Cross-Window Consistency for Semi-Supervised Semantic Segmentation.
IEEE Trans. Image Process., 2024

Scene Graph-Aware Hierarchical Fusion Network for Remote Sensing Image Retrieval With Text Feedback.
IEEE Trans. Geosci. Remote. Sens., 2024

SCD-SAM: Adapting Segment Anything Model for Semantic Change Detection in Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2024

SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding.
CoRR, 2024

Scene Graph Generation in Large-Size VHR Satellite Imagery: A Large-Scale Dataset and A Context-Aware Approach.
CoRR, 2024

Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation.
CoRR, 2024

AUG: A New Dataset and An Efficient Model for Aerial Image Urban Scene Graph Generation.
CoRR, 2024

AllSpark: a multimodal spatiotemporal general model.
CoRR, 2024

Parameter-Efficient Complementary Expert Learning for Long-Tailed Visual Recognition.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Domain Knowledge-Aware Remote Sensing Foundation Model for Flood Detection in Multi-Spectral Imagery.
Proceedings of the IGARSS 2024, 2024

Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction.
Proceedings of the Computer Vision - ECCV 2024, 2024

PointOBB: Learning Oriented Object Detection via Single Point Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GLH-Water: A Large-Scale Dataset for Global Surface Water Detection in Large-Size Very-High-Resolution Satellite Imagery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ResMatch: Residual Attention Learning for Feature Matching.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
MSINet: Mining scale information from digital surface models for semantic segmentation of aerial images.
Pattern Recognit., November, 2023

To see further: Knowledge graph-aware deep graph convolutional network for recommender systems.
Inf. Sci., November, 2023

HS<sup>2</sup>P: Hierarchical spectral and structure-preserving fusion network for multimodal remote sensing image cloud and shadow removal.
Inf. Fusion, June, 2023

Cost-efficient information extraction from massive remote sensing data: When weakly supervised deep learning meets remote sensing big data.
Int. J. Appl. Earth Obs. Geoinformation, June, 2023

MFVNet: a deep adaptive fusion network with multiple field-of-views for remote sensing image semantic segmentation.
Sci. China Inf. Sci., April, 2023

Multi-source knowledge graph reasoning for ocean oil spill detection from satellite SAR images.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023

Learning Relative Feature Displacement for Few-Shot Open-Set Recognition.
IEEE Trans. Multim., 2023

SPGAN-DA: Semantic-Preserved Generative Adversarial Network for Domain Adaptive Remote Sensing Image Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023

Semantic-Aware Attack and Defense on Deep Hashing Networks for Remote-Sensing Image Retrieval.
IEEE Trans. Geosci. Remote. Sens., 2023

Semi-supervised Deep Learning via Transformation Consistency Regularization for Remote Sensing Image Semantic Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

CloudViT: A Lightweight Vision Transformer Network for Remote Sensing Cloud Detection.
IEEE Geosci. Remote. Sens. Lett., 2023

Learning to Holistically Detect Bridges from Large-Size VHR Remote Sensing Imagery.
CoRR, 2023

2022
DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation.
ACM Trans. Knowl. Discov. Data, 2022

DNAS: Decoupling Neural Architecture Search for High-Resolution Remote Sensing Image Semantic Segmentation.
Remote. Sens., 2022

Dark Spot Detection from SAR Images Based on Superpixel Deeper Graph Convolutional Network.
Remote. Sens., 2022

Combining deep learning and ontology reasoning for remote sensing image semantic segmentation.
Knowl. Based Syst., 2022

KLGCN: Knowledge graph-aware Light Graph Convolutional Network for recommender systems.
Expert Syst. Appl., 2022

Progressive Learning with Cross-Window Consistency for Semi-Supervised Semantic Segmentation.
CoRR, 2022

ElegantSeg: End-to-End Holistic Learning for Extra-Large Image Semantic Segmentation.
CoRR, 2022

Dark Spot Detection from SAR Images Based on Superpixel Deeper Graph Convolutional Network.
CoRR, 2022

RLPath: a knowledge graph link prediction method using reinforcement learning based attentive relation path searching and representation learning.
Appl. Intell., 2022

Hierarchical Memory Learning for Fine-Grained Scene Graph Generation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Soft Estimator of Keypoint Scale and Orientation with Probabilistic Covariant Loss.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2021

Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification.
IEEE Trans. Cybern., 2021

Subtask Attention Based Object Detection in Remote Sensing Images.
Remote. Sens., 2021

Combining Deep Semantic Segmentation Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery.
Remote. Sens., 2021

MSResNet: Multiscale Residual Network via Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery.
Remote. Sens., 2021

AG3line: Active grouping and geometry-gradient combined validation for fast line segment extraction.
Pattern Recognit., 2021

Image retrieval from remote sensing big data: A survey.
Inf. Fusion, 2021

RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining.
CoRR, 2021

Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting.
CoRR, 2021

Rotation Consistency-Preserved Generative Adversarial Networks for Cross-Domain Aerial Image Semantic Segmentation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Representation Learning of Remote Sensing Knowledge Graph for Zero-Shot Remote Sensing Image Scene Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Exemplar-Based Recursive Instance Segmentation With Application to Plant Image Analysis.
IEEE Trans. Image Process., 2020

Infrared Small Target Detection via Low-Rank Tensor Completion With Top-Hat Regularization.
IEEE Trans. Geosci. Remote. Sens., 2020

Multi-Label Remote Sensing Image Scene Classification by Combining a Convolutional Neural Network and a Graph Neural Network.
Remote. Sens., 2020

Collaboratively boosting data-driven deep learning and knowledge-guided ontological reasoning for semantic segmentation of remote sensing imagery.
CoRR, 2020

Unsupervised Style Transfer via Dualgan for Cross-Domain Aerial Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

A CNN-GCN Framework for Multi-Label Aerial Image Scene Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Deep Networks Under Block-Level Supervision for Pixel-Level Cloud Detection in Multi-Spectral Satellite Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Scene Context-Driven Vehicle Detection in High-Resolution Aerial Images.
IEEE Trans. Geosci. Remote. Sens., 2019

Learning Deep Networks under Noisy Labels for Remote Sensing Image Scene Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Large-Scale Remote Sensing Image Retrieval by Deep Hashing Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2018

Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval.
IEEE Trans. Geosci. Remote. Sens., 2018

Automatic Extraction of Built-Up Areas From Panchromatic and Multispectral Remote Sensing Images Using Double-Stream Deep Convolutional Neural Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Salient Object Detection via Recursive Sparse Representation.
Remote. Sens., 2018

Robust infrared small target detection using local steering kernel reconstruction.
Pattern Recognit., 2018

Adaptive top-hat filter based on quantum genetic algorithm for infrared small target detection.
Multim. Tools Appl., 2018

Infrared moving point target detection based on an anisotropic spatial-temporal fourth-order diffusion filter.
Comput. Electr. Eng., 2018

Adaptive Image Mismatch Removal With Vector Field Interpolation Based on Improved Regularization and Gaussian Kernel Function.
IEEE Access, 2018

Greedy Annotation of Remote Sensing Image Scenes Based on Automatic Aggregation via Hierarchical Similarity Diffusion.
IEEE Access, 2018

Salient Object Detection Via Double Sparse Representations Under Visual Attention Guidance.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Object-Based Visual Saliency via Laplacian Regularized Kernel Regression.
IEEE Trans. Multim., 2017

Feature guided Gaussian mixture model with semi-supervised EM and local geometric constraint for retinal image registration.
Inf. Sci., 2017

Multiple Feature Hashing Learning for Large-Scale Remote Sensing Image Retrieval.
ISPRS Int. J. Geo Inf., 2017

2016
Content-Based High-Resolution Remote Sensing Image Retrieval via Unsupervised Feature Learning and Collaborative Affinity Metric Fusion.
Remote. Sens., 2016

Unsupervised Multilayer Feature Learning for Satellite Image Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2016

A novel spatio-temporal saliency approach for robust dim moving target detection from airborne infrared image sequences.
Inf. Sci., 2016

2015
Cauchy Graph Embedding Optimization for Built-Up Areas Detection From High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Aircraft Detection in High-Resolution SAR Images Based on a Gradient Textural Saliency Map.
Sensors, 2015

Unsupervised Spectral-Spatial Feature Learning With Stacked Sparse Autoencoder for Hyperspectral Imagery Classification.
IEEE Geosci. Remote. Sens. Lett., 2015

Unsupervised Ship Detection Based on Saliency and S-HOG Descriptor From Optical Satellite Images.
IEEE Geosci. Remote. Sens. Lett., 2015

Built-Up Area Detection From Satellite Images Using Multikernel Learning, Multifield Integrating, and Multihypothesis Voting.
IEEE Geosci. Remote. Sens. Lett., 2015

Salient object detection via contrast information and object vision organization cues.
Neurocomputing, 2015

Kernel regression in mixed feature spaces for spatio-temporal saliency detection.
Comput. Vis. Image Underst., 2015

2014
Urban building extraction via visual graphical topic model.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014


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