Boda Liu — accepted AI-conference papers

2025

CasPoinTr: Point Cloud Completion with Cascaded Networks and Knowledge Distillation

Yifan Yang, Yuxiang Yan, Boda Liu, Jian Pu

IROS 2025

Point clouds collected from real-world environments are often incomplete due to factors such as limited sensor resolution, single viewpoints, occlusions, and noise. These challenges make point cloud completion essential for various applications. A key difficulty in this task is predicting the overal

Cited by 0 Source ↗Scholar ↗

2024

PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion

Yuxiang Yan, Boda Liu, Jianfei Ai, Qinbu Li, Ru Wan, Jian Pu

ICRA 2024poster

Semantic Scene Completion (SSC) aims to jointly generate space occupancies and semantic labels for complex 3D scenes. Most existing SSC models focus on volumetric representations, which are memory-inefficient for large outdoor spaces. Point clouds provide a lightweight alternative but existing bench…

Cited by 5 Source ↗code ↗Scholar ↗