Weidong Zhang

Orcid: 0000-0003-0081-930X

Affiliations:
  • Shandong University, School of Control Science and Engineering, Jinan, China


According to our database1, Weidong Zhang authored at least 14 papers between 2014 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Image recognition based on lightweight convolutional neural network: Recent advances.
Image Vis. Comput., 2024

2023
Fine-grained Image Classification Based on Knowledge Distillation.
Proceedings of the 19th International Conference on Natural Computation, 2023

A Fine-grained Image Classification Algorithm Using Knowledge Distillation and Attention Mechanism.
Proceedings of the 6th International Conference on Artificial Intelligence and Pattern Recognition, 2023

2022
3D Layout Estimation via Weakly Supervised Learning of Plane Parameters From 2D Segmentation.
IEEE Trans. Image Process., 2022

Cross-modal retrieval based on fusion lightweight network.
Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

2021
From Edge to Keypoint: An End-to-End Framework For Indoor Layout Estimation.
IEEE Trans. Multim., 2021

2020
Edge-Semantic Learning Strategy for Layout Estimation in Indoor Environment.
IEEE Trans. Cybern., 2020

GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes.
Proceedings of the Computer Vision - ECCV 2020, 2020

2018
A Feature Descriptor Based on Local Normalized Difference for Real-World Texture Classification.
IEEE Trans. Multim., 2018

Long-range terrain perception using convolutional neural networks.
Neurocomputing, 2018

2017
Learning to Predict High-Quality Edge Maps for Room Layout Estimation.
IEEE Trans. Multim., 2017

2016
Deep Neural Networks for wireless localization in indoor and outdoor environments.
Neurocomputing, 2016

Pyramid stereo matching for spherical panoramas.
Proceedings of the 2016 Visual Communications and Image Processing, 2016

2014
Wi-Fi positioning based on deep learning.
Proceedings of the IEEE International Conference on Information and Automation, 2014


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