Wei Luo

Orcid: 0000-0003-1431-4134

Affiliations:
  • South China Agricultural University, College of Mathematics and Informatics, Guangzhou, China
  • Nanjing University of Science and Technology, School of Computer Science and Engineering, China (PhD 2015)


According to our database1, Wei Luo authored at least 21 papers between 2012 and 2022.

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

Timeline

Legend:

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Bibliography

2022
Feature Transformation for Cross-domain Few-Shot Remote Sensing Scene Classification.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021
Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization.
Proceedings of the Image and Graphics - 11th International Conference, 2021

2020
Learning Semantically Enhanced Feature for Fine-Grained Image Classification.
IEEE Signal Process. Lett., 2020

2019
Exploiting Category-Level Semantic Relationships for Fine-Grained Image Recognition.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Cross-Category Cross-Semantic Regularization for Fine-Grained Image Recognition.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Cross-X Learning for Fine-Grained Visual Categorization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

The Effectiveness of Noise in Data Augmentation for Fine-Grained Image Classification.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

Label-Smooth Learning for Fine-Grained Visual Categorization.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018
Convolutional Sparse Autoencoders for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Visual Representation and Classification by Learning Group Sparse Deep Stacking Network.
IEEE Trans. Image Process., 2018

2017
Sparseness Analysis in the Pretraining of Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2017

Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise.
Neurocomputing, 2017

A News-Driven Recurrent Neural Network for Market Volatility Prediction.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2015
Locality-Constrained Sparse Auto-Encoder for Image Classification.
IEEE Signal Process. Lett., 2015

Higher-level feature combination via multiple kernel learning for image classification.
Neurocomputing, 2015

Learning Sparse Features in Convolutional Neural Networks for Image Classification.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

Facial landmark detection via pose-induced auto-encoder networks.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Locality-constrained group sparse coding regularized NMR for robust face recognition.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014
Region Tree Based Sparse Model for Optical Flow Estimation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Why does the unsupervised pretraining encourage moderate-sparseness?
CoRR, 2013

2012
Noise and Illumination Invariant Road Detection Based on Vanishing Point.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012


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