Search Results for author: Yiting shao

Found 4 papers, 1 papers with code

Exploring Forensic Dental Identification with Deep Learning

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.

Point Cloud Attribute Compression via Successive Subspace Graph Transform

no code implementations29 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.

Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds

no code implementations18 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.

Autonomous Driving Image Compression

Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction

no code implementations28 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.

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