Ying Wang

Orcid: 0000-0003-4121-1675

Affiliations:
  • University of Chinese Academy of Sciences, School of Artificial Intelligence,Beijing, China
  • Fujian Normal University, Key Lab of Network Security and Cryptology, China (former)


According to our database1, Ying Wang authored at least 30 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
SPDET: Edge-Aware Self-Supervised Panoramic Depth Estimation Transformer With Spherical Geometry.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Sharp Feature-Preserving 3D Mesh Reconstruction from Point Clouds Based on Primitive Detection.
Remote. Sens., June, 2023

High-Resolution and Efficient Neural Dual Contouring for Surface Reconstruction from Point Clouds.
Remote. Sens., May, 2023

NR-MVSNet: Learning Multi-View Stereo Based on Normal Consistency and Depth Refinement.
IEEE Trans. Image Process., 2023

2022
Registration Method for Point Clouds of Complex Rock Mass Based on Dual Structure Information.
IEEE Trans. Geosci. Remote. Sens., 2022

A Novel Rock-Mass Point Cloud Registration Method Based on Feature Line Extraction and Feature Point Matching.
IEEE Trans. Geosci. Remote. Sens., 2022

Efficient Lightweight Surface Reconstruction Method from Rock-Mass Point Clouds.
Remote. Sens., 2022

MEMformer: Transformer-based 3D Human Motion Estimation from MoCap Markers.
Proceedings of the SIGGRAPH Asia 2022 Posters, 2022

DS-MVSNet: Unsupervised Multi-view Stereo via Depth Synthesis.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Accurate Rock-Mass Extraction From Terrestrial Laser Point Clouds via Multiscale and Multiview Convolutional Feature Representation.
IEEE Trans. Geosci. Remote. Sens., 2021

Three-Dimensional Model of the Moon with Semantic Information of Craters Based on Chang'e Data.
Sensors, 2021

Efficient Rock Mass Point Cloud Registration Based on Local Invariants.
Remote. Sens., 2021

Detection of Small Impact Craters via Semantic Segmenting Lunar Point Clouds Using Deep Learning Network.
Remote. Sens., 2021

Extracting Cycle-aware Feature Curve Networks from 3D Models.
Comput. Aided Des., 2021

2020
An automatic 3D registration method for rock mass point clouds based on plane detection and polygon matching.
Vis. Comput., 2020

High-Precision Plane Detection Method for Rock-Mass Point Clouds Based on Supervoxel.
Sensors, 2020

Efficient and automatic plane detection approach for 3-D rock mass point clouds.
Multim. Tools Appl., 2020

2019
Efficient Rock-Mass Point Cloud Registration Using n-Point Complete Graphs.
IEEE Trans. Geosci. Remote. Sens., 2019

Major Orientation Estimation-Based Rock Surface Extraction for 3D Rock-Mass Point Clouds.
Remote. Sens., 2019

A fast registration algorithm of rock point cloud based on spherical projection and feature extraction.
Frontiers Comput. Sci., 2019

Feature Curve Network Extraction via Quadric Surface Fitting.
Proceedings of the 27th Pacific Conference on Computer Graphics and Applications, 2019

2018
A survey on algorithms of hole filling in 3D surface reconstruction.
Vis. Comput., 2018

Filtering method of rock points based on BP neural network and principal component analysis.
Frontiers Comput. Sci., 2018

2017
Architecting the Discontinuous Deformation Analysis Method Pipeline on the GPU.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2011
The Design and Building of Metadata Model in XBRL Taxonomy Engineering.
Proceedings of the 4th International Symposium on Computational Intelligence and Design, 2011

2008
Toward a Better Understanding of DCT Coefficients in Watermarking.
Proceedings of the PACIIA 2008, 2008

Multiple Watermarking with Side Information.
Proceedings of the Digital Watermarking, 7th International Workshop, 2008

A Semi-fragile Watermarking Tolerant of Laplacian Sharpening.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Semi-Fragile Watermarking Based on Image Gradient.
Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008


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