Tao Hong — accepted AI-conference papers

2023

PCSalmix: Gradient Saliency-Based Mix Augmentation for Point Cloud Classification

ICASSP 2023accepted

Point cloud classification has sparked many researchers’ interest for its cornerstone role in 3D applications. Inheriting the CutMix series augmentation that performs well in 2D images, PointCutMix and RSMix are proposed to generate new samples for 3D point clouds, by replacing partial points of one…

Cited by 0 Source ↗Scholar ↗

2022

PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs

Zhengyang Shen, Tao Hong, Qi She, Jinwen Ma, Zhouchen Lin

ICML 2022spotlight

Steerable models can provide very general and flexible equivariance by formulating equivariance requirements in the language of representation theory and feature fields, which has been recognized to be effective for many vision tasks. However, deriving steerable models for 3D rotations is much more…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗