Peihua Li

According to our database, Peihua Li authored at least 97 papers between 2002 and 2024.

Collaborative distances:

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

2024

Rate Maximization of UAV-Assisted Ambient Backscatter Communications.

Xiaoyu Wu, Xu Jiang, Bo Li, Nan Zhao, Peihua Li, Yonghui Li, Arumugam Nallanathan

IEEE Wirel. Commun. Lett., March, 2024

2023

Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective.

Qilong Wang, Zhaolin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Structure correlation-aware attention for Iris recognition.

Lingyao Jia, Qiule Sun, Peihua Li

Neural Comput. Appl., October, 2023

2022

Detachable Second-Order Pooling: Toward High-Performance First-Order Networks.

Lida Li, Jiangtao Xie, Peihua Li, Lei Zhang

IEEE Trans. Neural Networks Learn. Syst., 2022

Constructions of Optimal Uniform Wide-Gap Frequency-Hopping Sequences.

Peihua Li, Cuiling Fan, Sihem Mesnager, Yang Yang, Zhengchun Zhou

IEEE Trans. Inf. Theory, 2022

Temporal grafter network: Rethinking LSTM for effective video recognition.

Bingbing Zhang, Qilong Wang, Zilin Gao, Ruiren Zeng, Peihua Li

Neurocomputing, 2022

Second-order convolutional networks for iris recognition.

Lingyao Jia, Xueyu Shi, Qiule Sun, Xingqiang Tang, Peihua Li

Appl. Intell., 2022

DropCov: A Simple yet Effective Method for Improving Deep Architectures.

Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Parameterized Approximation Algorithms for TSP.

Jianqi Zhou, Peihua Li, Jiong Guo

Proceedings of the 33rd International Symposium on Algorithms and Computation, 2022

Possible and Necessary Winner Problems in Iterative Elections with Multiple Rules.

Peihua Li, Jiong Guo

Proceedings of the Frontiers of Algorithmic Wisdom, 2022

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification.

Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Multi-scale structural kernel representation for object detection.

Hao Wang, Qilong Wang, Peihua Li, Wangmeng Zuo

Pattern Recognit., 2021

Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization.

Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Graph attention mechanism with global contextual information for multi-label image recognition.

Xiaoxiao Ban, Peihua Li, Qilong Wang, Shoujun Zhou, Shijie Guo, Yuanquan Wang

J. Electronic Imaging, 2021

Second-order encoding networks for semantic segmentation.

Qiule Sun, Zhimin Zhang, Peihua Li

Neurocomputing, 2021

So-ViT: Mind Visual Tokens for Vision Transformer.

Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li

CoRR, 2021

Temporal-attentive Covariance Pooling Networks for Video Recognition.

Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Research on the Training Mode of Applied Technical Talents in Private Universities in China Based on Big Data Analysis.

Peihua Li

Proceedings of the ICISCAE 2021: 4th International Conference on Information Systems and Computer Aided Education, Dalian, China, September 24, 2021

NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization.

Caiyong Wang, Yunlong Wang, Kunbo Zhang, Jawad Muhammad, Tianhao Lu, Qi Zhang, Qichuan Tian, Zhaofeng He, Zhenan Sun, Yiwen Zhang, Tianbao Liu, Wei Yang, Dongliang Wu, Yingfeng Liu, Ruiye Zhou, Huihai Wu, Hao Zhang, Junbao Wang, Jiayi Wang, Wantong Xiong, Xueyu Shi, Shao Zeng, Peihua Li, Haodong Sun, Jing Wang, Jiale Zhang, Qi Wang, Huijie Wu, Xinhui Zhang, Haiqing Li, Yu Chen, Liang Chen, Menghan Zhang, Ye Sun, Zhiyong Zhou, Fadi Boutros, Naser Damer, Arjan Kuijper, Juan E. Tapia, Andres Valenzuela, Christoph Busch, Gourav Gupta, Kiran B. Raja, Xi Wu, Xiaojie Li, Jingfu Yang, Hongyan Jing, Xin Wang, Bin Kong, Youbing Yin, Qi Song, Siwei Lyu, Shu Hu, Leon Premk, Matej Vitek, Vitomir Struc, Peter Peer, Jalil Nourmohammadi-Khiarak, Farhang Jaryani, Samaneh Salehi Nasab, Seyed Naeim Moafinejad, Yasin Amini, Morteza Noshad

Proceedings of the International IEEE Joint Conference on Biometrics, 2021

2020

Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation.

Hongliang Yan, Zhetao Li, Qilong Wang, Peihua Li, Yong Xu, Wangmeng Zuo

IEEE Trans. Multim., 2020

Locality-constrained affine subspace coding for image classification and retrieval.

Bingbing Zhang, Qilong Wang, Xiaoxiao Lu, Fasheng Wang, Peihua Li

Pattern Recognit., 2020

Blind single image super-resolution with a mixture of deep networks.

Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li, Huchuan Lu

Pattern Recognit., 2020

What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective.

Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks.

Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Resolution-Aware Network for Image Super-Resolution.

Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li

IEEE Trans. Circuits Syst. Video Technol., 2019

New Bounds on Wide-Gap Frequency-Hopping Sequences.

Peihua Li, Cuiling Fan, Yang Yang, Yong Wang

IEEE Commun. Lett., 2019

End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks.

Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li

IEEE Access, 2019

New Bounds on the Partial Hamming Correlation of Wide-Gap Frequency-Hopping Sequence Sets With Low Hit Zone.

Peihua Li, Cuiling Fan, Yang Yang

IEEE Access, 2019

New Bounds on the Partial Hamming Correlation of Wide-Gap Frequency-Hopping Sequence Sets.

Peihua Li, Cuiling Fan, Yang Yang

Proceedings of the Ninth International Workshop on Signal Design and its Applications in Communications, 2019

Deep Global Generalized Gaussian Networks.

Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Global Second-Order Pooling Convolutional Networks.

Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification.

Qilong Wang, Xiaoxiao Lu, Peihua Li, Zhenguo Gao, Yongri Piao

IEEE Trans. Circuits Syst. Video Technol., 2018

Information-Compensated Downsampling for Image Super-Resolution.

Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li

IEEE Signal Process. Lett., 2018

Hyperlayer Bilinear Pooling with application to fine-grained categorization and image retrieval.

Qiule Sun, Qilong Wang, Jianxin Zhang, Peihua Li

Neurocomputing, 2018

Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification.

Qiule Sun, Jianxin Zhang, Pengfei Zhu, Qilong Wang, Peihua Li

IEEE Access, 2018

Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks.

Qilong Wang, Zilin Gao, Jiangtao Xie, Wangmeng Zuo, Peihua Li

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-Scale Location-Aware Kernel Representation for Object Detection.

Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization.

Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

High-Order Local Pooling and Encoding Gaussians Over a Dictionary of Gaussians.

Peihua Li, Hui Zeng, Qilong Wang, Simon C. K. Shiu, Lei Zhang

IEEE Trans. Image Process., 2017

Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification.

Peihua Li, Qilong Wang, Hui Zeng, Lei Zhang

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

Joint distance and similarity measure learning based on triplet-based constraints.

Mu Li, Qilong Wang, David Zhang, Peihua Li, Wangmeng Zuo

Inf. Sci., 2017

Ordered over-relaxation based Langevin Monte Carlo sampling for visual tracking.

Fasheng Wang, Peihua Li, Xucheng Li, Mingyu Lu

Neurocomputing, 2017

Part-based convolutional neural network for visual recognition.

Lingxiao Yang, Xiaohua Xie, Peihua Li, David Zhang, Lei Zhang

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation.

Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Is Second-Order Information Helpful for Large-Scale Visual Recognition?

Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo

Proceedings of the IEEE International Conference on Computer Vision, 2017

Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation.

Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition.

Qilong Wang, Peihua Li, Lei Zhang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Convolutional Features for Iris Recognition.

Xingqiang Tang, Jiangtao Xie, Peihua Li

Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

2016

Towards effective codebookless model for image classification.

Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo

Pattern Recognit., 2016

Evaluation of ground distances and features in EMD-based GMM matching for texture classification.

Hua Hao, Qilong Wang, Peihua Li, Lei Zhang

Pattern Recognit., 2016

RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition.

Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Manifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications.

Yuwei Wu, Yunde Jia, Peihua Li, Jian Zhang, Junsong Yuan

IEEE Trans. Image Process., 2015

High-order information for robust iris recognition under less controlled conditions.

Guanglei Yang, Hui Zeng, Peihua Li, Lei Zhang

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Ask the dictionary: Soft-assignment location-orientation pooling for image classification.

Qilong Wang, Xiaona Deng, Peihua Li, Lei Zhang

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

From dictionary of visual words to subspaces: Locality-constrained affine subspace coding.

Peihua Li, Xiaoxiao Lu, Qilong Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

An enhanced XOR-based scheme for wireless packet retransmission problem.

Zhenguo Gao, Weidong Xiang, Guozhen Tan, Nianmin Yao, Peihua Li

Int. J. Commun. Syst., 2014

The first ICB* competition on iris recognition.

Man Zhang, Jing Liu, Zhenan Sun, Tieniu Tan, Wu Su, Fernando Alonso-Fernandez, Valérian Némesin, Nadia Othman, Koichi Noda, Peihua Li, Edmundo Hoyle, Akanksha Joshi

Proceedings of the IEEE International Joint Conference on Biometrics, Clearwater, 2014

Shrinkage Expansion Adaptive Metric Learning.

Qilong Wang, Wangmeng Zuo, Lei Zhang, Peihua Li

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Tensor-SIFT Based Earth Mover's Distance for Contour Tracking.

Peihua Li

J. Math. Imaging Vis., 2013

Variational Earth Mover's Distance for Image Segmentation.

Peihua Li, Qilong Wang

Proceedings of the Seventh International Conference on Image and Graphics, 2013

Log-Euclidean Kernels for Sparse Representation and Dictionary Learning.

Peihua Li, Qilong Wang, Wangmeng Zuo, Lei Zhang

Proceedings of the IEEE International Conference on Computer Vision, 2013

A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models.

Peihua Li, Qilong Wang, Lei Zhang

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

An Efficient Particle Filter-based Tracking Method Using Graphics Processing Unit (GPU).

Peihua Li

J. Signal Process. Syst., 2012

Iris recognition in non-ideal imaging conditions.

Peihua Li, Hongwei Ma

Pattern Recognit. Lett., 2012

Weighted co-occurrence phase histogram for iris recognition.

Peihua Li, Xiaomin Liu, Nannan Zhao

Pattern Recognit. Lett., 2012

Iris recognition using ordinal encoding of Log-Euclidean covariance matrices.

Peihua Li, Guolong Wu

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Tensor decomposition of SIFT descriptors for person identification.

Xiaomin Liu, Peihua Li

Proceedings of the 5th IAPR International Conference on Biometrics, 2012

Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications.

Peihua Li, Qilong Wang

Proceedings of the Computer Vision - ECCV 2012, 2012

Robust Registration-Based Tracking by Sparse Representation with Model Update.

Peihua Li, Qilong Wang

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

An Iris Recognition Approach with SIFT Descriptors.

Xiaomin Liu, Peihua Li

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

Tracking Objects Using Orientation Covariance Matrices.

Peihua Li, Qi Sun

Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011

Tensor-based covariance matrices for object tracking.

Peihua Li, Qi Sun

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2010

Robust and accurate iris segmentation in very noisy iris images.

Peihua Li, Xiaomin Liu, Lijuan Xiao, Qi Song

Image Vis. Comput., 2010

2009

A Parabolic Detection Algorithm Based on Kernel Density Estimation.

Xiaomin Liu, Qi Song, Peihua Li

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009

Robust Acoustic Source Localization with TDOA Based RANSAC Algorithm.

Peihua Li, Xianzhe Ma

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009

Eyelid Localization in Iris Images Captured in Less Constrained Environment.

Xiaomin Liu, Peihua Li, Qi Song

Proceedings of the Advances in Biometrics, Third International Conference, 2009

Histogram-Based Partial Differential Equation for Object Tracking.

Peihua Li, Lijuan Xiao

Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009

Mean Shift Parallel Tracking on GPU.

Peihua Li, Lijuan Xiao

Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

2008

An Adaptive Binning Color Model for Mean Shift Tracking.

Peihua Li

IEEE Trans. Circuits Syst. Video Technol., 2008

Histogram feature-based Fisher linear discriminant for face detection.

Haijing Wang, Peihua Li, Tianwen Zhang

Neural Comput. Appl., 2008

Improvement on Mean Shift based tracking using second-order information.

Lijuan Xiao, Peihua Li

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

An incremental method for accurate iris segmentation.

Peihua Li, Xiaomin Liu

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

Boosted Gaussian Classifier with Integral Histogram for Face Detection.

Haijing Wang, Peihua Li, Tianwen Zhang

Int. J. Pattern Recognit. Artif. Intell., 2007

Object Tracking with Particle Filter Using Color Information.

Peihua Li, Haijing Wang

Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2007

2006

A clustering-based color model and integral images for fast object tracking.

Peihua Li

Signal Process. Image Commun., 2006

A clustering Based Color Model and Fast Algorithm for Object Tracking.

Peihua Li

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Histogram Features-Based Fisher Linear Discriminant for Face Detection.

Haijing Wang, Peihua Li, Tianwen Zhang

Proceedings of the Computer Vision, 2006

2005

A Shape Tracking Algorithm for Visual Servoing.

Peihua Li, François Chaumette, Omar Tahri

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Novel likelihood estimation technique based on boosting detector.

Haijing Wang, Peihua Li, Tianwen Zhang

Proceedings of the 2005 International Conference on Image Processing, 2005

Proposal of Novel Histogram Features for Face Detection.

Haijing Wang, Peihua Li, Tianwen Zhang

Proceedings of the Pattern Recognition and Image Analysis, 2005

Probabilistic Object Tracking Based on Machine Learning and Importance Sampling.

Peihua Li, Haijing Wang

Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

2004

Unscented Kalman filter for visual curve tracking.

Peihua Li, Tianwen Zhang, Bo Ma

Image Vis. Comput., 2004

Probabilistic Face Tracking Using Boosted Multi-view Detector.

Peihua Li, Haijing Wang

Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Towards A Robust and Real-time Face Detection and Tracking Framework.

Peihua Li, Kai Xie

Proceedings of the ICVGIP 2004, 2004

Image Cues Fusion for Object Tracking Based on Particle Filter.

Peihua Li, François Chaumette

Proceedings of the Articulated Motion and Deformable Objects, Third International Workshop, 2004

2003

Visual contour tracking based on particle filters.

Peihua Li, Tianwen Zhang, Arthur E. C. Pece

Image Vis. Comput., 2003

2002

Visual Contour Tracking Based on Sequential Importance Sampling/Resampling Algorithm.

Peihua Li, Tianwen Zhang

Proceedings of the 16th International Conference on Pattern Recognition, 2002