Hongbo Gao — accepted AI-conference papers

2025

Pseudo-Label Reconstruction for Partial Multi-Label Learning

Yu Chen, Fang Li, Na Han, Guanbin Li, Hongbo Gao, Sixian Chan +1

IJCAI 2025

In Partial Multi-Label Learning (PML), each instance is associated with a candidate label set containing multiple relevant labels along with other false positive labels. Currently, most PML methods directly extract instance correlation from instance features while ignoring the candidate labels, whic

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2025

UE-Extractor: A Grid-to-Point Ground Extraction Framework for Unstructured Environments Using Adaptive Grid Projection

Ruoyao Li, Yafei Wang, Shi Sun, Yichen Zhang, Fei Ding, Hongbo Gao

RA-L 2025

Ground point cloud extraction is crucial for route planning of autonomous vehicles in unstructured environments. However, mainstream point cloud extraction methods are susceptible to inaccuracies due to the indistinct obstacle-ground boundary. Furthermore, addressing uneven feature distribution usua

Cited by 18 Source ↗Scholar ↗