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Wei Luo 0006
Person information
- affiliation: South China Agricultural University, College of Mathematics and Informatics, Guangzhou, China
- affiliation (PhD 2015): Nanjing University of Science and Technology, School of Computer Science and Engineering, China
Other persons with the same name
- Wei Luo — disambiguation page
- Wei Luo 0001
— Deakin University, Geelong, VIC, Australia (and 1 more)
- Wei Luo 0002
- Wei Luo 0003
- Wei Luo 0004
- Wei Luo 0005
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2020 – today
- 2024
- [c16]Haojun Li
Visual-Semantic Alignment for Few-shot Remote Sensing Scene Classification. ICMLC 2024: 411-417 - [c15]Linjia Li
Structural Subspace Learning for Few-shot Fine-grained Recognition. ICMLC 2024: 693-699 - [c14]Lihan Lin
Task-aware Local Representation Mining Network for Few-shot Fine-grained Recognition. ICMLC 2024: 700-706 - 2022
- [c13]Qiaoling Chen
Feature Transformation for Cross-domain Few-Shot Remote Sensing Scene Classification. ICPR Workshops (3) 2022: 303-316 - 2021
- [c12]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: 106-119 - 2020
- [j7]Wei Luo
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. IEEE Signal Process. Lett. 27: 1545-1549 (2020) - [i3]Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei:
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. CoRR abs/2006.13457 (2020)
2010 – 2019
- 2019
- [c11]Xianjie Mo, Tingting Wei, Hengmin Zhang, Qiong Huang, Wei Luo
Label-Smooth Learning for Fine-Grained Visual Categorization. ACPR (1) 2019: 17-31 - [c10]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: 779-792 - [c9]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: 8241-8250 - [c8]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: 50-62 - [c7]Yelin Chen, Xianjie Mo, Zijun Liang, Tingting Wei, Wei Luo:
Cross-Category Cross-Semantic Regularization for Fine-Grained Image Recognition. PRCV (1) 2019: 110-122 - [i2]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 abs/1909.04412 (2019) - 2018
- [j6]Jun Li
Visual Representation and Classification by Learning Group Sparse Deep Stacking Network. IEEE Trans. Image Process. 27(1): 464-476 (2018) - [j5]Wei Luo, Jun Li, Jian Yang, Wei Xu, Jian Zhang:
Convolutional Sparse Autoencoders for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3289-3294 (2018) - 2017
- [j4]Hengmin Zhang, Jian Yang, Jianjun Qian, Wei Luo:
Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise. Neurocomputing 269: 188-198 (2017) - [j3]Jun Li
Sparseness Analysis in the Pretraining of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1425-1438 (2017) - [c6]Peikang Lin, Xianjie Mo, Guidong Lin, Liwen Ling, Tingting Wei, Wei Luo:
A News-Driven Recurrent Neural Network for Market Volatility Prediction. ACPR 2017: 776-781 - 2015
- [j2]Wei Luo, Jian Yang, Wei Xu, Jun Li, Jian Zhang:
Higher-level feature combination via multiple kernel learning for image classification. Neurocomputing 167: 209-217 (2015) - [j1]Wei Luo, Jian Yang, Wei Xu, Tao Fu:
Locality-Constrained Sparse Auto-Encoder for Image Classification. IEEE Signal Process. Lett. 22(8): 1070-1073 (2015) - [c5]Hengmin Zhang, Wei Luo, Jian Yang, Lei Luo:
Locality-constrained group sparse coding regularized NMR for robust face recognition. ACPR 2015: 740-744 - [c4]Yu Chen, Wei Luo, Jian Yang:
Facial landmark detection via pose-induced auto-encoder networks. ICIP 2015: 2115-2119 - [c3]Wei Luo, Jun Li, Wei Xu, Jian Yang:
Learning Sparse Features in Convolutional Neural Networks for Image Classification. IScIDE (1) 2015: 29-38 - 2014
- [c2]Wei Luo, Fanglong Zhang, Jian Yang, Jing-Yu Yang:
Region Tree Based Sparse Model for Optical Flow Estimation. ICPR 2014: 2077-2082 - 2013
- [i1]Jun Li, Wei Luo, Jian Yang, Xiaotong Yuan:
Why does the unsupervised pretraining encourage moderate-sparseness? CoRR abs/1312.5813 (2013) - 2012
- [c1]Wei Luo, Heyou Chang, Jian Yang:
Noise and Illumination Invariant Road Detection Based on Vanishing Point. IScIDE 2012: 64-71
Coauthor Index
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