Learning Fine-Grained Segmentation of 3D Shapes without Part Labels

no code implementations • CVPR 2021 • Xiaogang Wang, Xun Sun, Xinyu Cao, Kai Xu, Bin Zhou

Learning-based 3D shape segmentation is usually formulated as a semantic labeling problem, assuming that all parts of training shapes are annotated with a given set of tags.

Clustering Deep Clustering +1

Self-Supervised Learning of Part Mobility from Point Cloud Sequence

1 code implementation • 20 Oct 2020 • Yahao Shi, Xinyu Cao, Bin Zhou

To the best of our knowledge, this is the first study on deep learning to extract part mobility from point cloud sequence of a dynamic object.

Self-Supervised Learning

Annotating Measurable Quantitative Informationin Language: for an ISO Standard

no code implementations • COLING 2018 • Tianyong Hao, Haotai Wang, Xinyu Cao, Kiyong Lee