Wei-Jong Yang

Orcid: 0000-0002-4738-4617

According to our database1, Wei-Jong Yang authored at least 14 papers between 2016 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Video-Based Depth Estimation Autoencoder With Weighted Temporal Feature and Spatial Edge Guided Modules.
IEEE Trans. Artif. Intell., February, 2024

2023
Rational 3D object placement based on deep learning based plane detection.
Multim. Tools Appl., November, 2023

Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation.
CoRR, 2023

CTDP Depacking with Guided Depth Upsampling Networks for Realization of Multiview 3D Video.
Proceedings of the Advances in Information and Communication, 2023

Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation.
Proceedings of the 8th IEEE/ACIS International Conference on Big Data, 2023

2022
Improved vehicle detection systems with double-layer LSTM modules.
EURASIP J. Adv. Signal Process., 2022

Emerging Research Directions of Deep Learning for Pathology Image Analysis.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021
Fast Stereo Matching with Recursive Refinement and Depth Upsizing for Estimation of High Resolution Depth.
J. Inf. Sci. Eng., 2021

An interactive instance segmentation system with multi-resolution convolutional neural networks.
IET Comput. Vis., 2021

2020
A YCbCr Color Depth Packing Method and its Extension for 3D Video Broadcasting Services.
IEEE Trans. Circuits Syst. Video Technol., 2020

2019
An Assigned Color Depth Packing Method With Centralized Texture Depth Packing Formats for 3D VR Broadcasting Services.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Improved Lane Detection With Multilevel Features in Branch Convolutional Neural Networks.
IEEE Access, 2019

2018
Multi-feature shape regression for face alignment.
EURASIP J. Adv. Signal Process., 2018

2016
FITD: Fast Intra Transcoding from H.264/AVC to high efficiency video coding based on DCT coefficients and prediction modes.
J. Vis. Commun. Image Represent., 2016


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