Search Results for author: Dong Tian

Found 10 papers, 4 papers with code

FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds

1 code implementation CVPR 2021 HaiYan Wang, Jiahao Pang, Muhammad A. Lodhi, YingLi Tian, Dong Tian

Scene flow depicts the dynamics of a 3D scene, which is critical for various applications such as autonomous driving, robot navigation, AR/VR, etc.

Autonomous Driving Robot Navigation +1

Graph Signal Processing for Geometric Data and Beyond: Theory and Applications

no code implementations5 Aug 2020 Wei Hu, Jiahao Pang, Xian-Ming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro

Geometric data acquired from real-world scenes, e. g., 2D depth images, 3D point clouds, and 4D dynamic point clouds, have found a wide range of applications including immersive telepresence, autonomous driving, surveillance, etc.

Autonomous Driving

Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering

no code implementations11 May 2019 Siheng Chen, Chaojing Duan, Yaoqing Yang, Duanshun Li, Chen Feng, Dong Tian

The experimental results show that (1) the proposed networks outperform the state-of-the-art methods in various tasks; (2) a graph topology can be inferred as auxiliary information without specific supervision on graph topology inference; and (3) graph filtering refines the reconstruction, leading to better performances.

3D Point Cloud Reconstruction General Classification +1

Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling

1 code implementation CVPR 2018 Yiru Shen, Chen Feng, Yaoqing Yang, Dong Tian

Unlike on images, semantic learning on 3D point clouds using a deep network is challenging due to the naturally unordered data structure.

Point Cloud Registration

FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation

3 code implementations CVPR 2018 Yaoqing Yang, Chen Feng, Yiru Shen, Dong Tian

Recent deep networks that directly handle points in a point set, e. g., PointNet, have been state-of-the-art for supervised learning tasks on point clouds such as classification and segmentation.

General Classification

Fast Resampling of 3D Point Clouds via Graphs

no code implementations11 Feb 2017 Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovačević

We use a general feature-extraction operator to represent application-dependent features and propose a general reconstruction error to evaluate the quality of resampling.

Guided Signal Reconstruction Theory

no code implementations2 Feb 2017 Andrew Knyazev, Akshay Gadde, Hassan Mansour, Dong Tian

New frame-less reconstruction methods are proposed, based on a novel concept of a reconstruction set, defined as a shortest pathway between the sample consistent set and the guiding set.

Chebyshev and Conjugate Gradient Filters for Graph Image Denoising

no code implementations4 Sep 2015 Dong Tian, Hassan Mansour, Andrew Knyazev, Anthony Vetro

In 3D image/video acquisition, different views are often captured with varying noise levels across the views.

Image Denoising Image Enhancement

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