Lei Luo

Orcid: 0000-0002-9976-0442

Affiliations:
  • Nanjing University of Science and Technology, School of Computer Science and Engineering, China
  • University of Pittsburgh, Department of Electrical and Computer Engineering, PA, USA


According to our database1, Lei Luo authored at least 54 papers between 2014 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud Registration.
CoRR, 2024

2023
Adaptive Hierarchical Similarity Metric Learning With Noisy Labels.
IEEE Trans. Image Process., 2023

Hyperbolic embedding steered spatiotemporal graph convolutional network for video-based remote heart rate estimation.
Eng. Appl. Artif. Intell., 2023

SGFeat: Salient Geometric Feature for Point Cloud Registration.
CoRR, 2023

Large-scale Point Cloud Registration Based on Graph Matching Optimization.
CoRR, 2023

Doubly Robust AUC Optimization against Noisy and Adversarial Samples.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Matching Optimization Network for Point Cloud Registration.
IROS, 2023

Local-Fusion Diffusion Model for Enhancing Few-Shot Image Generation.
Proceedings of the Image and Graphics - 12th International Conference, 2023

Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Curriculum Temperature for Knowledge Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Discriminative Cross-Modality Attention Network for Temporal Inconsistent Audio-Visual Event Localization.
IEEE Trans. Image Process., 2021

δ-Norm-Based Robust Regression With Applications to Image Analysis.
IEEE Trans. Cybern., 2021

Learnable low-rank latent dictionary for subspace clustering.
Pattern Recognit., 2021

A new nonlocal means based framework for mixed noise removal.
Neurocomputing, 2021

Unified Fairness from Data to Learning Algorithm.
Proceedings of the IEEE International Conference on Data Mining, 2021

Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Hyperbolic Metric Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Sinkhorn Regression.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adversarial Nonnegative Matrix Factorization.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Nesting-structured nuclear norm minimization for spatially correlated matrix variate.
Pattern Recognit., 2019

Curvilinear Distance Metric Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Orthogonality-Promoting Dictionary Learning via Bayesian Inference.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

An adaptive line search scheme for approximated nuclear norm based matrix regression.
Neurocomputing, 2018

Bilevel Distance Metric Learning for Robust Image Recognition.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

New Robust Metric Learning Model Using Maximum Correntropy Criterion.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-Level Metric Learning via Smoothed Wasserstein Distance.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise.
IEEE Trans. Neural Networks Learn. Syst., 2017

Low-Rank Latent Pattern Approximation With Applications to Robust Image Classification.
IEEE Trans. Image Process., 2017

Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Bi-weighted robust matrix regression for face recognition.
Neurocomputing, 2017

Kernel orthogonal Procrustes regression for face recognition across pose.
Neurocomputing, 2017

2016
Face Recognition With Pose Variations and Misalignment via Orthogonal Procrustes Regression.
IEEE Trans. Image Process., 2016

Tree-Structured Nuclear Norm Approximation With Applications to Robust Face Recognition.
IEEE Trans. Image Process., 2016

Double Low Rank Matrix Recovery for Saliency Fusion.
IEEE Trans. Image Process., 2016

Learning discriminative singular value decomposition representation for face recognition.
Pattern Recognit., 2016

Adaptive noise dictionary construction via IRRPCA for face recognition.
Pattern Recognit., 2016

Schatten p-norm based principal component analysis.
Neurocomputing, 2016

Structural Orthogonal Procrustes Regression for Face Recognition with Pose Variations and Misalignment.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Dual approximated nuclear norm based matrix regression via adaptive line search scheme.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Matrix Variate Distribution-Induced Sparse Representation for Robust Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2015

Robust nuclear norm regularized regression for face recognition with occlusion.
Pattern Recognit., 2015

Nuclear-L<sub>1</sub> norm joint regression for face reconstruction and recognition with mixed noise.
Pattern Recognit., 2015

Mixed noise removal by weighted low rank model.
Neurocomputing, 2015

Orthogonal Procrustes Problem Based Regression with Application to Face Recognition with Pose Variations.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

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

2014
Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes.
CoRR, 2014

Nuclear Norm Regularized Sparse Coding.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Schatten p-Norm Based Matrix Regression Model for Image Classification.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

Nuclear-L<sub>1</sub> Norm Joint Regression for Face Reconstruction and Recognition.
Proceedings of the Computer Vision - ACCV 2014, 2014


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