Wei Luo

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 15

Top Topics

Image Recognition

Image Classification

Top Venues

IEEE Signal Process. Lett.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Qiaoling Chen, Zhihao Chen, Wei Luo
Feature Transformation for Cross-domain Few-Shot Remote Sensing Scene Classification. ICPR Workshops (3) (2022)
Hengmin Zhang, Wei Luo, Wenli Du, Jianjun Qian, Jian Yang, Bob Zhang
Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization. ICIG (2) (2021)
Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. CoRR (2020)
Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. IEEE Signal Process. Lett. 27 (2020)
Xianjie Mo, Jiajie Zhu, Xiaoxuan Zhao, Min Liu, Tingting Wei, Wei Luo
Exploiting Category-Level Semantic Relationships for Fine-Grained Image Recognition. PRCV (1) (2019)
Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry S. Davis, Jun Li, Jian Yang, Ser-Nam Lim
Cross-X Learning for Fine-Grained Visual Categorization. CoRR (2019)
Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim
Cross-X Learning for Fine-Grained Visual Categorization. ICCV (2019)
Nanyu Sun, Xianjie Mo, Tingting Wei, Dabin Zhang, Wei Luo
The Effectiveness of Noise in Data Augmentation for Fine-Grained Image Classification. ACPR (1) (2019)
Yelin Chen, Xianjie Mo, Zijun Liang, Tingting Wei, Wei Luo
Cross-Category Cross-Semantic Regularization for Fine-Grained Image Recognition. PRCV (1) (2019)
Xianjie Mo, Tingting Wei, Hengmin Zhang, Qiong Huang, Wei Luo
Label-Smooth Learning for Fine-Grained Visual Categorization. ACPR (1) (2019)
Wei Luo, Jun Li, Jian Yang, Wei Xu, Jian Zhang
Convolutional Sparse Autoencoders for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Jun Li, Heyou Chang, Jian Yang, Wei Luo, Yun Fu
Visual Representation and Classification by Learning Group Sparse Deep Stacking Network. IEEE Trans. Image Process. 27 (1) (2018)
Hengmin Zhang, Jian Yang, Jianjun Qian, Wei Luo
Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise. Neurocomputing 269 (2017)
Peikang Lin, Xianjie Mo, Guidong Lin, Liwen Ling, Tingting Wei, Wei Luo
A News-Driven Recurrent Neural Network for Market Volatility Prediction. ACPR (2017)
Jun Li, Tong Zhang, Wei Luo, Jian Yang, Xiao-Tong Yuan, Jian Zhang
Sparseness Analysis in the Pretraining of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28 (6) (2017)
Wei Luo, Jun Li, Wei Xu, Jian Yang
Learning Sparse Features in Convolutional Neural Networks for Image Classification. IScIDE (1) (2015)
Wei Luo, Jian Yang, Wei Xu, Jun Li, Jian Zhang
Higher-level feature combination via multiple kernel learning for image classification. Neurocomputing 167 (2015)
Yu Chen, Wei Luo, Jian Yang
Facial landmark detection via pose-induced auto-encoder networks. ICIP (2015)
Hengmin Zhang, Wei Luo, Jian Yang, Lei Luo
Locality-constrained group sparse coding regularized NMR for robust face recognition. ACPR (2015)
Wei Luo, Jian Yang, Wei Xu, Tao Fu
Locality-Constrained Sparse Auto-Encoder for Image Classification. IEEE Signal Process. Lett. 22 (8) (2015)
Wei Luo, Fanglong Zhang, Jian Yang, Jing-Yu Yang
Region Tree Based Sparse Model for Optical Flow Estimation. ICPR (2014)
Jun Li, Wei Luo, Jian Yang, Xiaotong Yuan
Why does the unsupervised pretraining encourage moderate-sparseness? CoRR (2013)
Wei Luo, Heyou Chang, Jian Yang
Noise and Illumination Invariant Road Detection Based on Vanishing Point. IScIDE (2012)