1 code implementation • NeurIPS 2021 • Yuan Liang, Weikun Han, Liang Qiu, Chen Wu, Yiting shao, Kun Wang, Lei He
In this work, we pioneer to study deep learning for dental forensic identification based on panoramic radiographs.
no code implementations • 28 Apr 2018 • Yiting Shao, Qi Zhang, Ge Li, Zhu Li
In intra-frame compression of point cloud color attributes, results demonstrate that our method performs better than the state-of-the-art region-adaptive hierarchical transform (RAHT) system, and on average a 29. 37$\%$ BD-rate gain is achieved.
Multimedia
no code implementations • 18 Apr 2019 • Wei Yan, Yiting shao, Shan Liu, Thomas H. Li, Zhu Li, Ge Li
Point cloud is a fundamental 3D representation which is widely used in real world applications such as autonomous driving.
no code implementations • 29 Oct 2020 • Yueru Chen, Yiting shao, Jing Wang, Ge Li, C. -C. Jay Kuo
Inspired by the recently proposed successive subspace learning (SSL) principles, we develop a successive subspace graph transform (SSGT) to address point cloud attribute compression in this work.