Lixiang Ru

Orcid: 0000-0002-9129-2453

According to our database1, Lixiang Ru authored at least 13 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery.
CoRR, 2023

Exploring Effective Priors and Efficient Models for Weakly-Supervised Change Detection.
CoRR, 2023

Token Contrast for Weakly-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
WH-MAVS: A Novel Dataset and Deep Learning Benchmark for Multiple Land Use and Land Cover Applications.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling.
Int. J. Comput. Vis., 2022

Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Multi-Temporal Scene Classification and Scene Change Detection With Correlation Based Fusion.
IEEE Trans. Image Process., 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

Learning Visual Words for Weakly-Supervised Semantic Segmentation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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

2019
Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2019

Deep Canonical Correlation Analysis Network for Scene Change Detection of Multi-Temporal VHR Imagery.
Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019

Scene Change Detection VIA Deep Convolution Canonical Correlation Analysis Neural Network.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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