Hengwei Zhao

Orcid: 0000-0001-5878-5152

According to our database1, Hengwei Zhao authored at least 14 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Attention in Attention for Hyperspectral With High Spatial Resolution (H) Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
One-Class Risk Estimation for One-Class Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

A Unified Remote Sensing Anomaly Detector Across Modalities and Scenes via Deviation Relationship Learning.
CoRR, 2023

Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery.
CoRR, 2023

One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning.
CoRR, 2023

Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Learning One-Class Hyperspectral Classifier from Positive and Unlabeled Data for Low Proportion Target.
CoRR, 2022

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery.
CoRR, 2022

Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class classification.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Progressive Label Refinement-Based Distribution Adaptation Framework for Landslide Detection.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2021
DOCC: Deep one-class crop classification via positive and unlabeled learning for multi-modal satellite imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Deep One-Class Crop Extraction Framework for Multi-Modal Remote Sensing Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


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