no code implementations • 23 May 2024 • Hanzhang Tu, Ruizhi Shao, Xue Dong, Shunyuan Zheng, Hao Zhang, Lili Chen, Meili Wang, Wenyu Li, Siyan Ma, Shengping Zhang, Boyao Zhou, Yebin Liu
Altogether, our telepresence system demonstrates the sense of co-presence in real-life experiments, inspiring the next generation of communication.
1 code implementation • 5 Jan 2024 • Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang
Recent works attempt to extend Graph Convolution Networks (GCNs) to point clouds for classification and segmentation tasks.
1 code implementation • 4 Jul 2022 • Jincen Jiang, Xuequan Lu, Lizhi Zhao, Richard Dazeley, Meili Wang
We first split the input point cloud into patches and mask a portion of them, then use our Patch Embedding Module to extract the features of unmasked patches.
no code implementations • 5 Jan 2022 • Shuaijun Chen, Jinxi Wang, Wei Pan, Shang Gao, Meili Wang, Xuequan Lu
As a popular representation of 3D data, point cloud may contain noise and need to be filtered before use.
no code implementations • 14 Oct 2021 • Jinxi Wang, Jincen Jiang, Xuequan Lu, Meili Wang
We then map the non-local similar patches into a canonical space and aggregate the non-local information.
no code implementations • 13 Oct 2021 • Jincen Jiang, Xuequan Lu, Wanli Ouyang, Meili Wang
Though a number of point cloud learning methods have been proposed to handle unordered points, most of them are supervised and require labels for training.