Lixiang Ru  

Ph.D student

School of Computer Science, Wuhan University.

[Email]   [GitHub]   [Google Scholar


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I'm currently a Ph.D student in School of Computer Science, Wuhan University. I'm interested in Weakly-Supervised vision problems, e.g. weakly-supervised semantic image segmentation, object localization.




Google Scholar

§. Weakly-Supervised Semantic Segmentation, (2020 - Now)

Token Contrast for Weakly-Supervised Semantic Segmentation
Lixiang Ru,
Under Review, 2022.
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling
Lixiang Ru, Bo Du, Yibing Zhan, Chen Wu
International Journal of Computer Vision (IJCV), 2022.
Learning Visual Words for Weakly-Supervised Semantic Segmentation
Lixiang Ru, Bo Du, Chen Wu
International Joint Conference on Artificial Intelligence (IJCAI), 2021.
[Paper][Code] [Slide] [Poster]

§. Pixel/Scene-Level Remote Sensing Image Change Detection, (2018 - 2020)

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
International Journal of Applied Earth Observation and Geoinformation, 2021.
Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion
Lixiang Ru, Bo Du, Chen Wu,
IEEE Transactions on Image Processing (TIP), 2020.
[Paper] [Code] [Dataset]
Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images
Bo Du, Lixiang Ru, Chen Wu, Liangpei Zhang,
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019.
[Paper] [Code]


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