Lei Luo

发表

Matrix Variate Distribution-Induced Sparse Representation for Robust Image Classification

Jian Yang, Wei Xu, Jinhui Chen, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Face Recognition With Pose Variations and Misalignment via Orthogonal Procrustes Regression

Jian Yang, Yu Chen, Ying Tai, 2016, IEEE Transactions on Image Processing.

Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes

Ying Tai, Lei Luo, Yong Xu, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise

Jian Yang, Ying Tai, Lei Luo, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Adaptive noise dictionary construction via IRRPCA for face recognition

Jian Yang, Yu Chen, Ying Tai, 2016, Pattern Recognit..

Double Low Rank Matrix Recovery for Saliency Fusion

Jian Yang, Deepu Rajan, Lei Luo, 2016, IEEE Transactions on Image Processing.

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

Jian Yang, Wei Luo, Lei Luo, 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).

Nuclear-L1 Norm Joint Regression for Face Reconstruction and Recognition

Jian Yang, Ying Tai, Lei Luo, 2014, ACCV.

Schatten p-norm based principal component analysis

Jian Yang, Lei Luo, Meng Yang, 2016, Neurocomputing.

Bilevel Distance Metric Learning for Robust Image Recognition

Jie Xu, Cheng Deng, Lei Luo, 2018, NeurIPS.

Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees

Cheng Deng, Lei Luo, Jie Xu, 2019, AAAI.

Sinkhorn Regression

Jian Pei, Heng Huang, Lei Luo, 2020, IJCAI.

Nesting-structured nuclear norm minimization for spatially correlated matrix variate

Jian Yang, Lei Luo, Yong Xu, 2019, Pattern Recognit..

Mixed noise removal by weighted low rank model

Yan Cui, Lei Luo, Jielin Jiang, 2015, Neurocomputing.

Discriminative Cross-Modality Attention Network for Temporal Inconsistent Audio-Visual Event Localization

Jian Yang, Lei Luo, Yan Yan, 2021, IEEE Transactions on Image Processing.

Curriculum Temperature for Knowledge Distillation

Jun Yu Li, Jian Yang, Zheng Li, 2022, AAAI.

Unified Fairness from Data to Learning Algorithm

Heng Huang, Yanfu Zhang, Lei Luo, 2021, Industrial Conference on Data Mining.

Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding

Heng Huang, Yanfu Zhang, Wenhan Xian, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Multi-Level Metric Learning via Smoothed Wasserstein Distance

Heng Huang, Jie Xu, Cheng Deng, 2018, IJCAI.

Identifying Imaging Markers for Predicting Cognitive Assessments Using Wasserstein Distances Based Matrix Regression

Li Shen, Cheng Deng, Xiaohui Yao, 2019, Front. Neurosci..

A new nonlocal means based framework for mixed noise removal

Lei Luo, Jian Yang, Yadang Chen, 2021, Neurocomputing.

Hyperbolic embedding steered spatiotemporal graph convolutional network for video-based remote heart rate estimation

Shuo Chen, Jian-Xiong Yang, Lei Luo, 2023, Engineering Applications of Artificial Intelligence.

Robust nuclear norm regularized regression for face recognition with occlusion

Jian Yang, Lei Luo, Zhouchen Lin, 2015, Pattern Recognit..

δ-Norm-Based Robust Regression With Applications to Image Analysis

Jian Yang, Chen Gong, Yang Wei, 2019, IEEE Transactions on Cybernetics.

Tree-Structured Nuclear Norm Approximation With Applications to Robust Face Recognition

Jian Yang, Lei Luo, Bob Zhang, 2016, IEEE Transactions on Image Processing.

Adversarial Nonnegative Matrix Factorization

Lei Luo, Heng Huang, Yanfu Zhang, 2020, ICML.

Learning discriminative singular value decomposition representation for face recognition

Jian Yang, Ying Tai, Lei Luo, 2016, Pattern Recognit..

Sinkhorn Regression

J. Pei, Heng Huang, Lei Luo, 2020, IJCAI.

Graph Matching Optimization Network for Point Cloud Registration

Yaqing Ding, Jian Yang, Haobo Jiang, 2023, 2302.05844.

Point Cloud Registration Based on Graph Matching Optimization

Yaqing Ding, Jian Yang, Jin Xie, 2023 .

Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning

Heng Huang, Lei Luo, Heng Huang, 2018, AAAI.

Orthogonality-Promoting Dictionary Learning via Bayesian Inference

Cheng Deng, Lei Luo, Jie Xu, 2019, AAAI.

New Robust Metric Learning Model Using Maximum Correntropy Criterion

Jie Xu, Heng Huang, Cheng Deng, 2018, KDD.

Low-Rank Latent Pattern Approximation With Applications to Robust Image Classification

Yang Wei, Ying Tai, Lei Luo, 2017, IEEE Transactions on Image Processing.

Curvilinear Distance Metric Learning

Chen Gong, Jun Li, Lei Luo, 2019, NeurIPS.

Dual approximated nuclear norm based matrix regression via adaptive line search scheme

Jian Yang, Lei Luo, Yigong Zhang, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Nuclear-L1 norm joint regression for face reconstruction and recognition with mixed noise

Jian Yang, Ying Tai, Lei Luo, 2015, Pattern Recognit..

Schatten p-Norm Based Matrix Regression Model for Image Classification

Jian Yang, Jinhui Chen, Lei Luo, 2014, CCPR.