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Qingju Guo

2 accepted papers

2026

SPSC: Sparse and Scalable Multi-Modal 3D Occupancy Prediction for Autonomous Driving

AAAI 2026technical

3D semantic occupancy prediction offers a nuanced representation of the surrounding environment, which is crucial for ensuring the safety of autonomous driving. However, fine-grained scene representations inevitably result in cubic growth in data scale, which imposes substantial demands on model arc

Cited by 0SourcePDFScholar
2023

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation

NeurIPS 2023poster

Active learning, a label-efficient paradigm, empowers models to interactively query an oracle for labeling new data. In the realm of LiDAR semantic segmentation, the challenges stem from the sheer volume of point clouds, rendering annotation labor-intensive and cost-prohibitive. This paper presents…

Cited by 12SourcePDFScholar