Peihua Li

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 68

Top Venues

Publications

Xiaoyu Wu, Xu Jiang, Bo Li, Nan Zhao, Peihua Li, Yonghui Li, Arumugam Nallanathan
Rate Maximization of UAV-Assisted Ambient Backscatter Communications. IEEE Wirel. Commun. Lett. 13 (3) (2024)
Lingyao Jia, Qiule Sun, Peihua Li
Structure correlation-aware attention for Iris recognition. Neural Comput. Appl. 35 (28) (2023)
Qilong Wang, Zhaolin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Jianqi Zhou, Peihua Li, Jiong Guo
Parameterized Approximation Algorithms for TSP. ISAAC (2022)
Bingbing Zhang, Qilong Wang, Zilin Gao, Ruiren Zeng, Peihua Li
Temporal grafter network: Rethinking LSTM for effective video recognition. Neurocomputing 505 (2022)
Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu
DropCov: A Simple yet Effective Method for Improving Deep Architectures. NeurIPS (2022)
Peihua Li, Jiong Guo
Possible and Necessary Winner Problems in Iterative Elections with Multiple Rules. FAW (2022)
Peihua Li, Cuiling Fan, Sihem Mesnager, Yang Yang, Zhengchun Zhou
Constructions of Optimal Uniform Wide-Gap Frequency-Hopping Sequences. IEEE Trans. Inf. Theory 68 (1) (2022)
Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. CVPR (2022)
Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. CoRR (2022)
Lida Li, Jiangtao Xie, Peihua Li, Lei Zhang
Detachable Second-Order Pooling: Toward High-Performance First-Order Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Lingyao Jia, Xueyu Shi, Qiule Sun, Xingqiang Tang, Peihua Li
Second-order convolutional networks for iris recognition. Appl. Intell. 52 (10) (2022)
Hao Wang, Qilong Wang, Peihua Li, Wangmeng Zuo
Multi-scale structural kernel representation for object detection. Pattern Recognit. 110 (2021)
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
NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization. IJCB (2021)
Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li
So-ViT: Mind Visual Tokens for Vision Transformer. CoRR (2021)
Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
Temporal-attentive Covariance Pooling Networks for Video Recognition. CoRR (2021)
Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 43 (8) (2021)
Peihua Li
Research on the Training Mode of Applied Technical Talents in Private Universities in China Based on Big Data Analysis. ICISCAE (ACM) (2021)
Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
Temporal-attentive Covariance Pooling Networks for Video Recognition. NeurIPS (2021)
Xiaoxiao Ban, Peihua Li, Qilong Wang, Shoujun Zhou, Shijie Guo, Yuanquan Wang
Graph attention mechanism with global contextual information for multi-label image recognition. J. Electronic Imaging 30 (6) (2021)
Qiule Sun, Zhimin Zhang, Peihua Li
Second-order encoding networks for semantic segmentation. Neurocomputing 445 (2021)
Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CVPR (2020)
Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective. CoRR (2020)
Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu
What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. CVPR (2020)
Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li, Huchuan Lu
Blind single image super-resolution with a mixture of deep networks. Pattern Recognit. 102 (2020)
Hongliang Yan, Zhetao Li, Qilong Wang, Peihua Li, Yong Xu, Wangmeng Zuo
Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation. IEEE Trans. Multim. 22 (9) (2020)
Bingbing Zhang, Qilong Wang, Xiaoxiao Lu, Fasheng Wang, Peihua Li
Locality-constrained affine subspace coding for image classification and retrieval. Pattern Recognit. 100 (2020)
Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks. IEEE Access 7 (2019)
Peihua Li, Cuiling Fan, Yang Yang
New Bounds on the Partial Hamming Correlation of Wide-Gap Frequency-Hopping Sequence Sets With Low Hit Zone. IEEE Access 7 (2019)
Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CoRR (2019)
Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li
Global Second-Order Pooling Convolutional Networks. CVPR (2019)
Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo
Deep Global Generalized Gaussian Networks. CVPR (2019)
Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li
Resolution-Aware Network for Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 29 (5) (2019)
Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. CoRR (2019)
Peihua Li, Cuiling Fan, Yang Yang
New Bounds on the Partial Hamming Correlation of Wide-Gap Frequency-Hopping Sequence Sets. IWSDA (2019)
Peihua Li, Cuiling Fan, Yang Yang, Yong Wang
New Bounds on Wide-Gap Frequency-Hopping Sequences. IEEE Commun. Lett. 23 (6) (2019)
Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo
Multi-scale Location-aware Kernel Representation for Object Detection. CoRR (2018)
Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li
Information-Compensated Downsampling for Image Super-Resolution. IEEE Signal Process. Lett. 25 (5) (2018)
Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo
Multi-Scale Location-Aware Kernel Representation for Object Detection. CVPR (2018)
Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li
Global Second-order Pooling Convolutional Networks. CoRR (2018)
Qiule Sun, Jianxin Zhang, Pengfei Zhu, Qilong Wang, Peihua Li
Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification. IEEE Access 6 (2018)
Qilong Wang, Xiaoxiao Lu, Peihua Li, Zhenguo Gao, Yongri Piao
An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification. IEEE Trans. Circuits Syst. Video Technol. 28 (10) (2018)
Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CVPR (2018)
Qiule Sun, Qilong Wang, Jianxin Zhang, Peihua Li
Hyperlayer Bilinear Pooling with application to fine-grained categorization and image retrieval. Neurocomputing 282 (2018)
Qilong Wang, Zilin Gao, Jiangtao Xie, Wangmeng Zuo, Peihua Li
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks. NeurIPS (2018)
Peihua Li, Hui Zeng, Qilong Wang, Simon C. K. Shiu, Lei Zhang
High-Order Local Pooling and Encoding Gaussians Over a Dictionary of Gaussians. IEEE Trans. Image Process. 26 (7) (2017)
Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo
Is Second-Order Information Helpful for Large-Scale Visual Recognition? ICCV (2017)
Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CVPR (2017)
Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CoRR (2017)
Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CoRR (2017)
Xingqiang Tang, Jiangtao Xie, Peihua Li
Deep Convolutional Features for Iris Recognition. CCBR (2017)
Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation. CoRR (2017)
Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo
Is Second-order Information Helpful for Large-scale Visual Recognition? CoRR (2017)
Peihua Li, Qilong Wang, Hui Zeng, Lei Zhang
Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
Mu Li, Qilong Wang, David Zhang, Peihua Li, Wangmeng Zuo
Joint distance and similarity measure learning based on triplet-based constraints. Inf. Sci. 406 (2017)
Fasheng Wang, Peihua Li, Xucheng Li, Mingyu Lu
Ordered over-relaxation based Langevin Monte Carlo sampling for visual tracking. Neurocomputing 220 (2017)
Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation. ICCV Workshops (2017)
Qilong Wang, Peihua Li, Lei Zhang
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. CVPR (2017)
Lingxiao Yang, Xiaohua Xie, Peihua Li, David Zhang, Lei Zhang
Part-based convolutional neural network for visual recognition. ICIP (2017)
Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang
RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition. CVPR (2016)
Hua Hao, Qilong Wang, Peihua Li, Lei Zhang
Evaluation of ground distances and features in EMD-based GMM matching for texture classification. Pattern Recognit. 57 (2016)
Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks. CoRR (2016)
Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo
Towards effective codebookless model for image classification. Pattern Recognit. 59 (2016)
Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo
Towards Effective Codebookless Model for Image Classification. CoRR (2015)
Peihua Li, Xiaoxiao Lu, Qilong Wang
From dictionary of visual words to subspaces: Locality-constrained affine subspace coding. CVPR (2015)
Yuwei Wu, Yunde Jia, Peihua Li, Jian Zhang, Junsong Yuan
Manifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications. IEEE Trans. Image Process. 24 (11) (2015)
Qilong Wang, Xiaona Deng, Peihua Li, Lei Zhang
Ask the dictionary: Soft-assignment location-orientation pooling for image classification. ICIP (2015)
Guanglei Yang, Hui Zeng, Peihua Li, Lei Zhang
High-order information for robust iris recognition under less controlled conditions. ICIP (2015)
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
The first ICB* competition on iris recognition. IJCB (2014)
Zhenguo Gao, Weidong Xiang, Guozhen Tan, Nianmin Yao, Peihua Li
An enhanced XOR-based scheme for wireless packet retransmission problem. Int. J. Commun. Syst. 27 (12) (2014)
Qilong Wang, Wangmeng Zuo, Lei Zhang, Peihua Li
Shrinkage Expansion Adaptive Metric Learning. ECCV (7) (2014)
Peihua Li, Qilong Wang, Lei Zhang
A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models. ICCV (2013)
Peihua Li, Qilong Wang
Variational Earth Mover's Distance for Image Segmentation. ICIG (2013)
Peihua Li
Tensor-SIFT Based Earth Mover's Distance for Contour Tracking. J. Math. Imaging Vis. 46 (1) (2013)
Peihua Li, Qilong Wang, Wangmeng Zuo, Lei Zhang
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning. ICCV (2013)
Xiaomin Liu, Peihua Li
Tensor decomposition of SIFT descriptors for person identification. ICB (2012)
Peihua Li, Qilong Wang
Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications. ECCV (3) (2012)
Peihua Li, Xiaomin Liu, Nannan Zhao
Weighted co-occurrence phase histogram for iris recognition. Pattern Recognit. Lett. 33 (8) (2012)
Peihua Li, Qilong Wang
Robust Registration-Based Tracking by Sparse Representation with Model Update. ACCV (3) (2012)
Peihua Li, Hongwei Ma
Iris recognition in non-ideal imaging conditions. Pattern Recognit. Lett. 33 (8) (2012)
Peihua Li
An Efficient Particle Filter-based Tracking Method Using Graphics Processing Unit (GPU). J. Signal Process. Syst. 68 (3) (2012)
Peihua Li, Guolong Wu
Iris recognition using ordinal encoding of Log-Euclidean covariance matrices. ICPR (2012)
Peihua Li, Qi Sun
Tensor-based covariance matrices for object tracking. ICCV Workshops (2011)
Xiaomin Liu, Peihua Li
An Iris Recognition Approach with SIFT Descriptors. ICIC (2) (2011)
Peihua Li, Qi Sun
Tracking Objects Using Orientation Covariance Matrices. ICIC (1) (2011)
Peihua Li
Tensor-SIFT based Earth Mover's Distance for Contour Tracking CoRR (2010)
Peihua Li, Xiaomin Liu, Lijuan Xiao, Qi Song
Robust and accurate iris segmentation in very noisy iris images. Image Vis. Comput. 28 (2) (2010)
Peihua Li, Lijuan Xiao
Mean Shift Parallel Tracking on GPU. IbPRIA (2009)
Xiaomin Liu, Peihua Li, Qi Song
Eyelid Localization in Iris Images Captured in Less Constrained Environment. ICB (2009)
Peihua Li, Lijuan Xiao
Histogram-Based Partial Differential Equation for Object Tracking. ICAPR (2009)
Peihua Li, Xianzhe Ma
Robust Acoustic Source Localization with TDOA Based RANSAC Algorithm. ICIC (1) (2009)
Xiaomin Liu, Qi Song, Peihua Li
A Parabolic Detection Algorithm Based on Kernel Density Estimation. ICIC (1) (2009)
Peihua Li, Xiaomin Liu
An incremental method for accurate iris segmentation. ICPR (2008)
Peihua Li
An Adaptive Binning Color Model for Mean Shift Tracking. IEEE Trans. Circuits Syst. Video Technol. 18 (9) (2008)
Lijuan Xiao, Peihua Li
Improvement on Mean Shift based tracking using second-order information. ICPR (2008)
Haijing Wang, Peihua Li, Tianwen Zhang
Histogram feature-based Fisher linear discriminant for face detection. Neural Comput. Appl. 17 (1) (2008)
Haijing Wang, Peihua Li, Tianwen Zhang
Boosted Gaussian Classifier with Integral Histogram for Face Detection. Int. J. Pattern Recognit. Artif. Intell. 21 (7) (2007)
Peihua Li, Haijing Wang
Object Tracking with Particle Filter Using Color Information. MIRAGE (2007)
Peihua Li
A clustering-based color model and integral images for fast object tracking. Signal Process. Image Commun. 21 (8) (2006)
Haijing Wang, Peihua Li, Tianwen Zhang
Histogram Features-Based Fisher Linear Discriminant for Face Detection. ACCV (2) (2006)

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Publication Activity (10 Years)

Top Topics

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Peihua Li