Yanmei Zou — accepted AI-conference papers

2024

Fine-Grained Semantic Information Preservation and Misclassification-Aware Loss for 3D Point Cloud

Yanmei Zou, Xuefei Lin, Hongshan Yu, Zhengeng Yang, Naveed Akhtar

RA-L 2024

Encoder-Decoder structure is a popular choice in point cloud processing for dense multi-classification tasks, e.g., 3D semantic segmentation. Though existing techniques that follow this structure achieve high performance, they are known to suffer from fine-grained information loss, especially when t

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2024

Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding

Yanmei Zou, Hongshan Yu, Zhengeng Yang, Zechuan Li, Naveed Akhtar

AAAI 2024technical

Multi-Layer Perceptron (MLP) models are the bedrock of contemporary point cloud processing. However, their complex network architectures obscure the source of their strength. We first develop an “abstraction and refinement” (ABS-REF) view for the neural modeling of point clouds. This view elucidates…

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