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Shuaifeng Jiao

3 accepted papers

2025

Efficient Multimodal 3D Object Detector via Instance-Level Contrastive Distillation

IROS 2025

Multimodal 3D object detectors leverage the strengths of both geometry-aware LiDAR point clouds and semantically rich RGB images to enhance detection performance. However, the inherent heterogeneity between these modalities, including unbalanced convergence and modal misalignment, poses significant

Cited by 1SourcecodeScholar
2025

InsCMPR: Efficient Cross-Modal Place Recognition via Instance-Aware Hybrid Mamba-Transformer

ICRA 2025

Place recognition is an important technique for autonomous mobile robotic applications. While single-modal sensor-based approaches have shown satisfactory performance, cross-modal place recognition remains underexplored due to the challenge of bridging the cross-modal heterogeneity gap. In this work

Cited by 1SourcecodeScholar
2025

LuSeg: Efficient Negative and Positive Obstacles Segmentation via Contrast-Driven Multi-Modal Feature Fusion on the Lunar

IROS 2025

As lunar exploration missions grow increasingly complex, ensuring safe and autonomous rover-based surface exploration has become one of the key challenges in lunar exploration tasks. In this work, we have developed a lunar surface simulation system called the Lunar Exploration Simulator System (LESS

Cited by 3SourcecodeScholar