Lei Luo

According to our database, Lei Luo authored at least 67 papers between 2014 and 2024.

Collaborative distances:

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

2024

TranPhys: Spatiotemporal Masked Transformer Steered Remote Photoplethysmography Estimation.

Hang Shao, Lei Luo, Jianjun Qian, Shuo Chen, Chuanfei Hu, Jian Yang

IEEE Trans. Circuits Syst. Video Technol., April, 2024

TranPulse: Remote Photoplethysmography Estimation With Time-Varying Supervision to Disentangle Multiphysiologically Interference.

Hang Shao, Lei Luo, Jianjun Qian, Shuo Chen, Chuanfei Hu, Jian Yang

IEEE Trans. Instrum. Meas., 2024

Few-shot learning with long-tailed labels.

Hongliang Zhang, Shuo Chen, Lei Luo, Jiang Yang

Pattern Recognit., 2024

FeverNet: Enabling accurate and robust remote fever screening.

Mengkai Yan, Jianjun Qian, Hang Shao, Lei Luo, Jian Yang

Pattern Recognit., 2024

Robust Audio-Visual Contrastive Learning for Proposal-Based Self-Supervised Sound Source Localization in Videos.

Hanyu Xuan, Zhiliang Wu, Jian Yang, Bo Jiang, Lei Luo, Xavier Alameda-Pineda, Yan Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2024

ERDDCI: Exact Reversible Diffusion via Dual-Chain Inversion for High-Quality Image Editing.

Jimin Dai, Yingzhen Zhang, Shuo Chen, Jian Yang, Lei Luo

CoRR, 2024

GLCONet: Learning Multi-source Perception Representation for Camouflaged Object Detection.

Yanguang Sun, Hanyu Xuan, Jian Yang, Lei Luo

CoRR, 2024

Diff-Reg v1: Diffusion Matching Model for Registration Problem.

Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Yang

CoRR, 2024

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

Qianliang Wu, Haobo Jiang, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang

CoRR, 2024

Video-based Remote Blood Pressure Measurement Using Convolutional Networks and Random Forest.

Wei Zhuo, Jianjun Qian, Hang Shao, Lei Luo, Jian Yang

Proceedings of the 3rd Vision-based Remote Physiological Signal Sensing Challenge & Workshop (RePSS 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

PCA Lab's Solution for RePSS 2024 by Vision-based Self-supervised Remote Heart Rate Sensing.

Hang Shao, Lei Luo, Jianjun Qian, Wei Zhuo, Chuanfei Hu, Jian Yang

Proceedings of the 3rd Vision-based Remote Physiological Signal Sensing Challenge & Workshop (RePSS 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection.

Zhe Li, Shuo Chen, Jian Yang, Lei Luo

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem.

Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

Frequency-Spatial Entanglement Learning for Camouflaged Object Detection.

Yanguang Sun, Chunyan Xu, Jian Yang, Hanyu Xuan, Lei Luo

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Adaptive Hierarchical Similarity Metric Learning With Noisy Labels.

Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang

IEEE Trans. Image Process., 2023

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

Hang Shao, Lei Luo, Shuo Chen, Chuanfei Hu, Jian Yang

Eng. Appl. Artif. Intell., 2023

SGFeat: Salient Geometric Feature for Point Cloud Registration.

Qianliang Wu, Yaqing Ding, Lei Luo, Chuanwei Zhou, Jin Xie, Jian Yang

CoRR, 2023

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

Qianliang Wu, Yaqi Shen, Guofeng Mei, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang

CoRR, 2023

Doubly Robust AUC Optimization against Noisy and Adversarial Samples.

Chenkang Zhang, Wanli Shi, Lei Luo, Bin Gu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Matching Optimization Network for Point Cloud Registration.

Qianliang Wu, Yaqi Shen, Haobo Jiang, Guofeng Mei, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang

IROS, 2023

Local-Fusion Diffusion Model for Enhancing Few-Shot Image Generation.

Jishuai Hou, Lei Luo, Jian Yang

Proceedings of the Image and Graphics - 12th International Conference, 2023

Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning.

Chenkang Zhang, Lei Luo, Bin Gu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples.

Zhou Zhai, Lei Luo, Heng Huang, Bin Gu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Curriculum Temperature for Knowledge Distillation.

Zheng Li, Xiang Li, Lingfeng Yang, Borui Zhao, Renjie Song, Lei Luo, Jun Li, Jian Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning.

Jiexi Yan, Lei Luo, Chenghao Xu, Cheng Deng, Heng Huang

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.

Hanyu Xuan, Lei Luo, Zhenyu Zhang, Jian Yang, Yan Yan

IEEE Trans. Image Process., 2021

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

Shuo Chen, Jian Yang, Yang Wei, Lei Luo, Gui-Fu Lu, Chen Gong

IEEE Trans. Cybern., 2021

Learnable low-rank latent dictionary for subspace clustering.

Yesong Xu, Shuo Chen, Jun Li, Lei Luo, Jian Yang

Pattern Recognit., 2021

A new nonlocal means based framework for mixed noise removal.

Jielin Jiang, Kang Yang, Jian Yang, Zhi-Xin Yang, Yadang Chen, Lei Luo

Neurocomputing, 2021

Unified Fairness from Data to Learning Algorithm.

Yanfu Zhang, Lei Luo, Heng Huang

Proceedings of the IEEE International Conference on Data Mining, 2021

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

Yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Hyperbolic Metric Learning.

Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Sinkhorn Regression.

Lei Luo, Jian Pei, Heng Huang

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

Adversarial Nonnegative Matrix Factorization.

Lei Luo, Yanfu Zhang, Heng Huang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Nesting-structured nuclear norm minimization for spatially correlated matrix variate.

Lei Luo, Jian Yang, Yigong Zhang, Yong Xu, Heng Huang

Pattern Recognit., 2019

Curvilinear Distance Metric Learning.

Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang

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.

Lei Luo, Jie Xu, Cheng Deng, Heng Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Orthogonality-Promoting Dictionary Learning via Bayesian Inference.

Lei Luo, Jie Xu, Cheng Deng, Heng Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification.

Lei Luo, Jian Yang, Bob Zhang, Jielin Jiang, Heng Huang

IEEE Trans. Neural Networks Learn. Syst., 2018

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

Lei Luo, Qinghua Tu, Jian Yang, Jingyu Yang

Neurocomputing, 2018

Bilevel Distance Metric Learning for Robust Image Recognition.

Jie Xu, Lei Luo, Cheng Deng, Heng Huang

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.

Jie Xu, Lei Luo, Cheng Deng, Heng Huang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-Level Metric Learning via Smoothed Wasserstein Distance.

Jie Xu, Lei Luo, Cheng Deng, Heng Huang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning.

Lei Luo, Heng Huang

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.

Lei Luo, Jian Yang, Jianjun Qian, Ying Tai, Gui-Fu Lu

IEEE Trans. Neural Networks Learn. Syst., 2017

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

Shuo Chen, Jian Yang, Lei Luo, Yang Wei, Kaihua Zhang, Ying Tai

IEEE Trans. Image Process., 2017

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

Jian Yang, Lei Luo, Jianjun Qian, Ying Tai, Fanlong Zhang, Yong Xu

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Bi-weighted robust matrix regression for face recognition.

Jianchun Xie, Jian Yang, Jianjun Qian, Lei Luo

Neurocomputing, 2017

Kernel orthogonal Procrustes regression for face recognition across pose.

Ying Tai, Jian Yang, Lei Luo, Jianjun Qian

Neurocomputing, 2017

2016

Face Recognition With Pose Variations and Misalignment via Orthogonal Procrustes Regression.

Ying Tai, Jian Yang, Yigong Zhang, Lei Luo, Jianjun Qian, Yu Chen

IEEE Trans. Image Process., 2016

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

Lei Luo, Liang Chen, Jian Yang, Jianjun Qian, Bob Zhang

IEEE Trans. Image Process., 2016

Double Low Rank Matrix Recovery for Saliency Fusion.

Junxia Li, Lei Luo, Fanlong Zhang, Jian Yang, Deepu Rajan

IEEE Trans. Image Process., 2016

Learning discriminative singular value decomposition representation for face recognition.

Ying Tai, Jian Yang, Lei Luo, Fanlong Zhang, Jianjun Qian

Pattern Recognit., 2016

Adaptive noise dictionary construction via IRRPCA for face recognition.

Yu Chen, Jian Yang, Lei Luo, Hengmin Zhang, Jianjun Qian, Ying Tai, Jian Zhang

Pattern Recognit., 2016

Schatten p-norm based principal component analysis.

Heyou Chang, Lei Luo, Jian Yang, Meng Yang

Neurocomputing, 2016

Structural Orthogonal Procrustes Regression for Face Recognition with Pose Variations and Misalignment.

Ying Tai, Jian Yang, Fanlong Zhang, Yigong Zhang, Lei Luo, Jianjun Qian

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

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

Lei Luo, Qinghua Tu, Jian Yang, Yigong Zhang

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Matrix Variate Distribution-Induced Sparse Representation for Robust Image Classification.

Jinhui Chen, Jian Yang, Lei Luo, Jianjun Qian, Wei Xu

IEEE Trans. Neural Networks Learn. Syst., 2015

Robust nuclear norm regularized regression for face recognition with occlusion.

Jianjun Qian, Lei Luo, Jian Yang, Fanlong Zhang, Zhouchen Lin

Pattern Recognit., 2015

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

Lei Luo, Jian Yang, Jianjun Qian, Ying Tai

Pattern Recognit., 2015

Mixed noise removal by weighted low rank model.

Jielin Jiang, Jian Yang, Yan Cui, Lei Luo

Neurocomputing, 2015

Orthogonal Procrustes Problem Based Regression with Application to Face Recognition with Pose Variations.

Ying Tai, Jian Yang, Lei Luo, Jianjun Qian

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.

Hengmin Zhang, Wei Luo, Jian Yang, Lei Luo

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.

Jian Yang, Jianjun Qian, Lei Luo, Fanlong Zhang, Yicheng Gao

CoRR, 2014

Nuclear Norm Regularized Sparse Coding.

Lei Luo, Jian Yang, Jianjun Qian, Jingyu Yang

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

Schatten p-Norm Based Matrix Regression Model for Image Classification.

Lei Luo, Jian Yang, Jinhui Chen, Yicheng Gao

Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

Nuclear-L₁ Norm Joint Regression for Face Reconstruction and Recognition.

Lei Luo, Jian Yang, Jianjun Qian, Ying Tai

Proceedings of the Computer Vision - ACCV 2014, 2014