Category-Level Multi-Part Multi-Joint 3D Shape Assembly

no code implementations • 10 Mar 2023 • Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao, Wojciech Matusik, Leonidas Guibas

A successful joint-optimized assembly needs to satisfy the bilateral objectives of shape structure and joint alignment.

Graph Learning Graph Representation Learning

Metadata Normalization

1 code implementation • CVPR 2021 • Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli

Batch Normalization (BN) and its variants have delivered tremendous success in combating the covariate shift induced by the training step of deep learning methods.

Data augmentation with Mobius transformations

1 code implementation • 7 Feb 2020 • Sharon Zhou, Jiequan Zhang, Hang Jiang, Torbjorn Lundh, Andrew Y. Ng

Data augmentation has led to substantial improvements in the performance and generalization of deep models, and remain a highly adaptable method to evolving model architectures and varying amounts of data---in particular, extremely scarce amounts of available training data.

Data Augmentation Translation