Siyu Liu

Orcid: 0000-0002-5735-3603

Affiliations:
  • University of Electronic Science and Technology of China, Chengdu, China


According to our database1, Siyu Liu authored at least 11 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Cross-Modal Hierarchical Alignment Guided by Selective State-Space Model and Domain Prior for Referring Remote Sensing Image Segmentation.
IEEE Trans. Aerosp. Electron. Syst., 2026

Multi-feature collaboration with spatial-frequency learning guided by vision foundation model for remote sensing image captioning.
Neurocomputing, 2026

2025
Cross-Modal Semantic Alignment via Concept Enrichment for Temporal Action Detection.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

2024
HCM: Online Action Detection With Hard Video Clip Mining.
IEEE Trans. Multim., 2024

Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022
Calibrated Focal Loss for Semantic Labeling of High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

HCANet: A Hierarchical Context Aggregation Network for Semantic Segmentation of High-Resolution Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022

Global and Multi-Scale Feature Learning for Remote Sensing Scene Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Light-Weight Semantic Segmentation Network for UAV Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

DCT-net: A deep co-interactive transformer network for video temporal grounding.
Image Vis. Comput., 2021

2020
Light-Weight Attention Semantic Segmentation Network for High-Resolution Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020


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