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Xiangyu Ma

2 accepted papers

2025

FG3DFormer: Fine-Grained 3D Shape Classification Based on Vision Transformer

ICASSP 2025accepted

Fine-grained 3D shape classification (FGSC) remains challenging due to the difficulty of adaptively capturing global structure differences and subtle inter-class distinctions. This paper directly extends Vision Transformer (ViT) to FGSC, proposing a pure Transformer network FG3DFormer that fully lev…

Cited by 0SourceScholar
2022

A Novel Lightweight Network for Fast Monocular Depth Estimation

ICASSP 2022accepted

Depth estimation is of growing interest in many sectors, from robotics to wearable augmented reality gears. Monocular depth estimation attracts more attention due to its cost efficiency and low complexity. Most recent research has developed very large and resource intensive networks which are not su…

Cited by 0SourceScholar