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Zhouzhiming Zhou

2 accepted papers

2026

QPoint: End-to-End Lightweight Point Cloud Processing via Robust Quaternion Feature Learning

ICML 2026poster

The inherent sparsity, lack of structure, and rotation sensitivity of point clouds often lead to high computational and parameter cost in robust feature learning. To address these problems, we present QPoint, a lightweight framework that leverages robust quaternion feature learning. QPoint incorpora…

Cited by 0SourceScholar
2026

SpikeNet: Sparse Spike-Driven Mask Vector Transformer for Energy-Efficient and Stable Spiking Point Cloud Processing

ICML 2026poster

The unordered nature of point cloud data poses significant challenges to conventional architectures primarily designed for structured data. Spiking neural networks (SNN), by virtue of their inherent sparsity and dynamics, are particularly well-suited for processing point clouds to effectively extrac…

Cited by 0SourceScholar