Lixiang Ru

According to our database, Lixiang Ru authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Cross-View Geo-Localization with Street-View and VHR Satellite Imagery in Decentrality Settings.

Panwang Xia, Lei Yu, Yi Wan, Qiong Wu, Peiqi Chen, Liheng Zhong, Yongxiang Yao, Dong Wei, Xinyi Liu, Lixiang Ru, Yingying Zhang, Jiangwei Lao, Jingdong Chen, Ming Yang, Yongjun Zhang

CoRR, 2024

HomoMatcher: Dense Feature Matching Results with Semi-Dense Efficiency by Homography Estimation.

Xiaolong Wang, Lei Yu, Yingying Zhang, Jiangwei Lao, Lixiang Ru, Liheng Zhong, Jingdong Chen, Yu Zhang, Ming Yang

CoRR, 2024

Parameter-Efficient Complementary Expert Learning for Long-Tailed Visual Recognition.

Lixiang Ru, Xin Guo, Lei Yu, Yingying Zhang, Jiangwei Lao, Jian Wang, Jingdong Chen, Yansheng Li, Ming Yang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

POA: Pre-training Once for Models of All Sizes.

Yingying Zhang, Xin Guo, Jiangwei Lao, Lei Yu, Lixiang Ru, Jian Wang, Guo Ye, Huimei He, Jingdong Chen, Ming Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Xin Guo, Jiangwei Lao, Bo Dang, Yingying Zhang, Lei Yu, Lixiang Ru, Liheng Zhong, Ziyuan Huang, Kang Wu, Dingxiang Hu, Huimei He, Jian Wang, Jingdong Chen, Ming Yang, Yongjun Zhang, Yansheng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Zhenghui Zhao, Lixiang Ru, Chen Wu

CoRR, 2023

Token Contrast for Weakly-Supervised Semantic Segmentation.

Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du

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.

Jingwen Yuan, Lixiang Ru, Shugen Wang, Chen Wu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling.

Lixiang Ru, Bo Du, Yibing Zhan, Chen Wu

Int. J. Comput. Vis., 2022

Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers.

Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du

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.

Lixiang Ru, Bo Du, Chen Wu

IEEE Trans. Image Process., 2021

An investigation of traffic density changes inside Wuhan during the COVID-19 epidemic with GF-2 time-series images.

Chen Wu, Yinong Guo, Haonan Guo, Jingwen Yuan, Lixiang Ru, Hongruixuan Chen, Bo Du, Liangpei Zhang

Int. J. Appl. Earth Obs. Geoinformation, 2021

Learning Visual Words for Weakly-Supervised Semantic Segmentation.

Lixiang Ru, Bo Du, Chen Wu

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.

Chen Wu, Jingwen Yuan, Lixiang Ru, Hongruixuan Chen, Bo Du, Liangpei Zhang

CoRR, 2020

2019

Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images.

Bo Du, Lixiang Ru, Chen Wu, Liangpei Zhang

IEEE Trans. Geosci. Remote. Sens., 2019

Deep Canonical Correlation Analysis Network for Scene Change Detection of Multi-Temporal VHR Imagery.

Lixiang Ru, Chen Wu, Bo Du, Liangpei Zhang

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.

Yong Wang, Bo Du, Lixiang Ru, Chen Wu, Hui Luo

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019