3 papers
cs.CV2026
Robust 3DGS-based SLAM via Adaptive Kernel Smoothing
Shouhe Zhang, Dayong Ren, Wen Jie Li +4
In this paper, we challenge the conventional notion in 3DGS-SLAM that rendering quality is the primary determinant of tracking accuracy. We argue that, compared to solely pursuing…
cs.CV2025
Taming the Light: Illumination-Invariant Semantic 3DGS-SLAM
Shouhe Zhang, Dayong Ren, Sensen Song +2
Extreme exposure degrades both the 3D map reconstruction and semantic segmentation accuracy, which is particularly detrimental to tightly-coupled systems. To achieve illumination i…
cs.CV2025
ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding
Linshuang Diao, Sensen Song, Yurong Qian +1
State Space models (SSMs) such as PointMamba enable efficient feature extraction for point cloud self-supervised learning with linear complexity, outperforming Transformers in comp…