Siyu Chen
Orcid: 0000-0002-1432-4909Affiliations:
- Jimei University, School of Computer Engineering, Xiamen, China
According to our database1,
Siyu Chen authored at least 12 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Time2General: Learning Spatiotemporal Invariant Representations for Domain-Generalization Video Semantic Segmentation.
CoRR, February, 2026
LiDAR-DHMT: LiDAR-Adaptive Dual Hierarchical Mask Transformer for Robust Freespace Detection and Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026
SGS-3D: High-Fidelity 3D Instance Segmentation via Reliable Semantic Mask Splitting and Growing.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
IEEE Trans. Intell. Transp. Syst., April, 2025
Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Depth Matters: Exploring Deep Interactions of RGB-D for Semantic Segmentation in Traffic Scenes.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Semantic4Safety: Causal Insights from Zero-shot Street View Imagery Segmentation for Urban Road Safety.
Proceedings of the 8th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2025
2024
Epurate-Net: Efficient Progressive Uncertainty Refinement Analysis for Traffic Environment Urban Road Detection.
IEEE Trans. Intell. Transp. Syst., July, 2024
2022
Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022
CAT: Using Cross Attention Transformation to Build Correlation of RGB-D for Road Detection.
Proceedings of the 8th International Conference on Big Data Computing and Communications, 2022