Yida Wang

Orcid: 0000-0003-4519-9108

Affiliations:
  • Technical University of Munich, CAMP, Germany (PhD 2023)
  • Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China (former)


According to our database1, Yida Wang authored at least 17 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Self-Supervised Latent Space Optimization With Nebula Variational Coding.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

2023
Learning-based Single View 3D Completion.
PhD thesis, 2023

Lidar Upsampling With Sliced Wasserstein Distance.
IEEE Robotics Autom. Lett., 2023

2022
SoftPool++: An Encoder-Decoder Network for Point Cloud Completion.
Int. J. Comput. Vis., 2022

From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction.
CoRR, 2022

SecNet: Semantic Eye Completion in Implicit Field.
Proceedings of The 1st Gaze Meets ML workshop, 2022

Learning Local Displacements for Point Cloud Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020
Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments.
IEEE Robotics Autom. Lett., 2020

SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Variational Object-Aware 3-D Hand Pose From a Single RGB Image.
IEEE Robotics Autom. Lett., 2019

ForkNet: Multi-Branch Volumetric Semantic Completion From a Single Depth Image.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Generative Model With Coordinate Metric Learning for Object Recognition Based on 3D Models.
IEEE Trans. Image Process., 2018

Adversarial Semantic Scene Completion from a Single Depth Image.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2016
Self-restraint object recognition by model based CNN learning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

ZigzagNet: Efficient Deep Learning for Real Object Recognition Based on 3D Models.
Proceedings of the Computer Vision - ACCV 2016, 2016


2015
Face Recognition Using Local PCA Filters.
Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015


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