Wei Luo

According to our database, Wei Luo authored at least 24 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Task-aware Local Representation Mining Network for Few-shot Fine-grained Recognition.

Lihan Lin, Jin Deng, Ying Huang, Yanyan Chen, Wei Luo

Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

Visual-Semantic Alignment for Few-shot Remote Sensing Scene Classification.

Haojun Li, Linjia Li, Wei Luo

Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

Structural Subspace Learning for Few-shot Fine-grained Recognition.

Linjia Li, Jin Deng, Ying Huang, Yanyan Chen, Wei Luo

Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

2022

Feature Transformation for Cross-domain Few-Shot Remote Sensing Scene Classification.

Qiaoling Chen, Zhihao Chen, Wei Luo

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.

Hengmin Zhang, Wei Luo, Wenli Du, Jianjun Qian, Jian Yang, Bob Zhang

Proceedings of the Image and Graphics - 11th International Conference, 2021

2020

Learning Semantically Enhanced Feature for Fine-Grained Image Classification.

Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei

IEEE Signal Process. Lett., 2020

2019

Exploiting Category-Level Semantic Relationships for Fine-Grained Image Recognition.

Xianjie Mo, Jiajie Zhu, Xiaoxuan Zhao, Min Liu, Tingting Wei, Wei Luo

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Cross-Category Cross-Semantic Regularization for Fine-Grained Image Recognition.

Yelin Chen, Xianjie Mo, Zijun Liang, Tingting Wei, Wei Luo

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Cross-X Learning for Fine-Grained Visual Categorization.

Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

The Effectiveness of Noise in Data Augmentation for Fine-Grained Image Classification.

Nanyu Sun, Xianjie Mo, Tingting Wei, Dabin Zhang, Wei Luo

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

Label-Smooth Learning for Fine-Grained Visual Categorization.

Xianjie Mo, Tingting Wei, Hengmin Zhang, Qiong Huang, Wei Luo

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018

Convolutional Sparse Autoencoders for Image Classification.

Wei Luo, Jun Li, Jian Yang, Wei Xu, Jian Zhang

IEEE Trans. Neural Networks Learn. Syst., 2018

Visual Representation and Classification by Learning Group Sparse Deep Stacking Network.

Jun Li, Heyou Chang, Jian Yang, Wei Luo, Yun Fu

IEEE Trans. Image Process., 2018

2017

Sparseness Analysis in the Pretraining of Deep Neural Networks.

Jun Li, Tong Zhang, Wei Luo, Jian Yang, Xiao-Tong Yuan, Jian Zhang

IEEE Trans. Neural Networks Learn. Syst., 2017

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

Hengmin Zhang, Jian Yang, Jianjun Qian, Wei Luo

Neurocomputing, 2017

A News-Driven Recurrent Neural Network for Market Volatility Prediction.

Peikang Lin, Xianjie Mo, Guidong Lin, Liwen Ling, Tingting Wei, Wei Luo

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2015

Locality-Constrained Sparse Auto-Encoder for Image Classification.

Wei Luo, Jian Yang, Wei Xu, Tao Fu

IEEE Signal Process. Lett., 2015

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

Wei Luo, Jian Yang, Wei Xu, Jun Li, Jian Zhang

Neurocomputing, 2015

Learning Sparse Features in Convolutional Neural Networks for Image Classification.

Wei Luo, Jun Li, Wei Xu, Jian Yang

Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

Facial landmark detection via pose-induced auto-encoder networks.

Yu Chen, Wei Luo, Jian Yang

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Locality-constrained group sparse coding regularized NMR for robust face recognition.

Hengmin Zhang, Wei Luo, Jian Yang, Lei Luo

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014

Region Tree Based Sparse Model for Optical Flow Estimation.

Wei Luo, Fanglong Zhang, Jian Yang, Jing-Yu Yang

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Why does the unsupervised pretraining encourage moderate-sparseness?

Jun Li, Wei Luo, Jian Yang, Xiaotong Yuan

CoRR, 2013

2012

Noise and Illumination Invariant Road Detection Based on Vanishing Point.

Wei Luo, Heyou Chang, Jian Yang

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012