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Yushan Han

2 accepted papers

2026

CoLC: Communication-Efficient Collaborative Perception with LiDAR Completion

CVPR 2026

Collaborative perception empowers autonomous agents to share complementary information and overcome perception limitations. While early fusion offers more perceptual complementarity and is inherently robust to model heterogeneity, its high communication cost has limited its practical deployment, pro

Cited by 0SourceScholar
2025

CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework

AAAI 2025technical

Current collaborative perception methods often rely on fully annotated datasets, which can be expensive to obtain in practical situations. To reduce annotation costs, some works adopt sparsely supervised learning techniques and generate pseudo labels for the missing instances. However, these methods…

Cited by 0SourcePDFScholar