Visual Contour Tracking Based on Sequential Importance Sampling/Resampling Algorithm. - Peihua Li; Tianwen Zhang (ICPR (2), 2002)

Visual contour tracking based on particle filters. - Peihua Li; Tianwen Zhang; Arthur E. C. Pece (Image Vis. Comput., 2003)

Image Cues Fusion for Object Tracking Based on Particle Filter. - Peihua Li; François Chaumette (AMDO, 2004)

Towards A Robust and Real-time Face Detection and Tracking Framework. - Peihua Li; Kai Xie (ICVGIP, 2004)

Probabilistic Face Tracking Using Boosted Multi-view Detector. - Peihua Li; Haijing Wang (PCM (2), 2004)

Unscented Kalman filter for visual curve tracking. - Peihua Li; Tianwen Zhang; Bo Ma (Image Vis. Comput., 2004)

Probabilistic Object Tracking Based on Machine Learning and Importance Sampling. - Peihua Li; Haijing Wang (IbPRIA (1), 2005)

Proposal of Novel Histogram Features for Face Detection. - Haijing Wang; Peihua Li; Tianwen Zhang (ICAPR (2), 2005)

Novel likelihood estimation technique based on boosting detector. - Haijing Wang; Peihua Li; Tianwen Zhang (ICIP (3), 2005)

A Shape Tracking Algorithm for Visual Servoing. - Peihua Li; François Chaumette; Omar Tahri (ICRA, 2005)

Histogram Features-Based Fisher Linear Discriminant for Face Detection. - Haijing Wang; Peihua Li; Tianwen Zhang (ACCV (2), 2006)

A clustering Based Color Model and Fast Algorithm for Object Tracking. - Peihua Li (ICPR (1), 2006)

A clustering-based color model and integral images for fast object tracking. - Peihua Li (Signal Process. Image Commun., 2006)

Object Tracking with Particle Filter Using Color Information. - Peihua Li; Haijing Wang (MIRAGE, 2007)

Boosted Gaussian Classifier with Integral Histogram for Face Detection. - Haijing Wang; Peihua Li; Tianwen Zhang (Int. J. Pattern Recognit. Artif. Intell., 2007)

An incremental method for accurate iris segmentation. - Peihua Li; Xiaomin Liu (ICPR, 2008)

Improvement on Mean Shift based tracking using second-order information. - Lijuan Xiao; Peihua Li (ICPR, 2008)

Histogram feature-based Fisher linear discriminant for face detection. - Haijing Wang; Peihua Li; Tianwen Zhang (Neural Comput. Appl., 2008)

An Adaptive Binning Color Model for Mean Shift Tracking. - Peihua Li (IEEE Trans. Circuits Syst. Video Technol., 2008)

Mean Shift Parallel Tracking on GPU. - Peihua Li; Lijuan Xiao (IbPRIA, 2009)

Histogram-Based Partial Differential Equation for Object Tracking. - Peihua Li; Lijuan Xiao (ICAPR, 2009)

Eyelid Localization in Iris Images Captured in Less Constrained Environment. - Xiaomin Liu; Peihua Li; Qi Song (ICB, 2009)

Robust Acoustic Source Localization with TDOA Based RANSAC Algorithm. - Peihua Li; Xianzhe Ma (ICIC (1), 2009)

A Parabolic Detection Algorithm Based on Kernel Density Estimation. - Xiaomin Liu; Qi Song; Peihua Li (ICIC (1), 2009)

Robust and accurate iris segmentation in very noisy iris images. - Peihua Li; Xiaomin Liu; Lijuan Xiao; Qi Song (Image Vis. Comput., 2010)

Tensor-based covariance matrices for object tracking. - Peihua Li; Qi Sun (ICCV Workshops, 2011)

Tracking Objects Using Orientation Covariance Matrices. - Peihua Li; Qi Sun (ICIC (1), 2011)

An Iris Recognition Approach with SIFT Descriptors. - Xiaomin Liu; Peihua Li (ICIC (2), 2011)

Robust Registration-Based Tracking by Sparse Representation with Model Update. - Peihua Li; Qilong Wang 001 (ACCV (3), 2012)

Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications. - Peihua Li; Qilong Wang 001 (ECCV (3), 2012)

Tensor decomposition of SIFT descriptors for person identification. - Xiaomin Liu; Peihua Li (ICB, 2012)

Iris recognition using ordinal encoding of Log-Euclidean covariance matrices. - Peihua Li; Guolong Wu (ICPR, 2012)

Weighted co-occurrence phase histogram for iris recognition. - Peihua Li; Xiaomin Liu; Nannan Zhao (Pattern Recognit. Lett., 2012)

Iris recognition in non-ideal imaging conditions. - Peihua Li; Hongwei Ma (Pattern Recognit. Lett., 2012)

An Efficient Particle Filter-based Tracking Method Using Graphics Processing Unit (GPU). - Peihua Li (J. Signal Process. Syst., 2012)

A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models. - Peihua Li; Qilong Wang 001; Lei Zhang 006 (ICCV, 2013)

Log-Euclidean Kernels for Sparse Representation and Dictionary Learning. - Peihua Li; Qilong Wang 001; Wangmeng Zuo; Lei Zhang 006 (ICCV, 2013)

Variational Earth Mover's Distance for Image Segmentation. - Peihua Li; Qilong Wang 001 (ICIG, 2013)

Tensor-SIFT Based Earth Mover's Distance for Contour Tracking. - Peihua Li (J. Math. Imaging Vis., 2013)

Shrinkage Expansion Adaptive Metric Learning. - Qilong Wang 001; Wangmeng Zuo; Lei Zhang 006; Peihua Li (ECCV (7), 2014)

The first ICB* competition on iris recognition. - Man Zhang 005; Jing Liu; Zhenan Sun; Tieniu Tan; Wu Su; Fernando Alonso-Fernandez; Valérian Némesin; Nadia Othman; Koichi Noda; Peihua Li; Edmundo Hoyle; Akanksha Joshi (IJCB, 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)

From dictionary of visual words to subspaces: Locality-constrained affine subspace coding. - Peihua Li; Xiaoxiao Lu; Qilong Wang 001 (CVPR, 2015)

Ask the dictionary: Soft-assignment location-orientation pooling for image classification. - Qilong Wang 001; Xiaona Deng; Peihua Li; Lei Zhang 006 (ICIP, 2015)

High-order information for robust iris recognition under less controlled conditions. - Guanglei Yang; Hui Zeng 001; Peihua Li; Lei Zhang 006 (ICIP, 2015)

Manifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications. - Yuwei Wu 001; Yunde Jia; Peihua Li; Jian Zhang 002; Junsong Yuan 001 (IEEE Trans. Image Process., 2015)

RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition. - Qilong Wang 001; Peihua Li; Wangmeng Zuo; Lei Zhang 006 (CVPR, 2016)

Evaluation of ground distances and features in EMD-based GMM matching for texture classification. - Hua Hao; Qilong Wang 001; Peihua Li; Lei Zhang 006 (Pattern Recognit., 2016)

Towards effective codebookless model for image classification. - Qilong Wang 001; Peihua Li; Lei Zhang 006; Wangmeng Zuo (Pattern Recognit., 2016)

Deep Convolutional Features for Iris Recognition. - Xingqiang Tang; Jiangtao Xie; Peihua Li (CCBR, 2017)

G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. - Qilong Wang 001; Peihua Li; Lei Zhang 006 (CVPR, 2017)

Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. - Hongliang Yan; Yukang Ding; Peihua Li; Qilong Wang 001; Yong Xu 001; Wangmeng Zuo (CVPR, 2017)

Is Second-Order Information Helpful for Large-Scale Visual Recognition? - Peihua Li; Jiangtao Xie; Qilong Wang 001; Wangmeng Zuo (ICCV, 2017)

Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation. - Feng Li 031; Yingjie Yao; Peihua Li; David Zhang 001; Wangmeng Zuo; Ming-Hsuan Yang 001 (ICCV Workshops, 2017)

Part-based convolutional neural network for visual recognition. - Lingxiao Yang; Xiaohua Xie; Peihua Li; David Zhang 001; Lei Zhang 006 (ICIP, 2017)

Ordered over-relaxation based Langevin Monte Carlo sampling for visual tracking. - Fasheng Wang; Peihua Li; Xucheng Li; Mingyu Lu (Neurocomputing, 2017)

Joint distance and similarity measure learning based on triplet-based constraints. - Mu Li 005; Qilong Wang 001; David Zhang 001; Peihua Li; Wangmeng Zuo (Inf. Sci., 2017)

Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification. - Peihua Li; Qilong Wang 001; Hui Zeng 001; Lei Zhang 006 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

High-Order Local Pooling and Encoding Gaussians Over a Dictionary of Gaussians. - Peihua Li; Hui Zeng 001; Qilong Wang 001; Simon C. K. Shiu; Lei Zhang 006 (IEEE Trans. Image Process., 2017)

Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. - Peihua Li; Jiangtao Xie; Qilong Wang 001; Zilin Gao (CVPR, 2018)

Multi-Scale Location-Aware Kernel Representation for Object Detection. - Hao Wang 073; Qilong Wang 001; Mingqi Gao 006; Peihua Li; Wangmeng Zuo (CVPR, 2018)

Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks. - Qilong Wang 001; Zilin Gao; Jiangtao Xie; Wangmeng Zuo; Peihua Li (NeurIPS, 2018)

Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification. - Qiule Sun; Jianxin Zhang 001; Pengfei Zhu 001; Qilong Wang 001; Peihua Li (IEEE Access, 2018)

Hyperlayer Bilinear Pooling with application to fine-grained categorization and image retrieval. - Qiule Sun; Qilong Wang 001; Jianxin Zhang 001; Peihua Li (Neurocomputing, 2018)

Information-Compensated Downsampling for Image Super-Resolution. - Yifan Wang 004; Lijun Wang; Hongyu Wang 001; Peihua Li (IEEE Signal Process. Lett., 2018)

An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification. - Qilong Wang 001; Xiaoxiao Lu; Peihua Li; Zhenguo Gao; Yongri Piao (IEEE Trans. Circuits Syst. Video Technol., 2018)

Global Second-Order Pooling Convolutional Networks. - Zilin Gao; Jiangtao Xie; Qilong Wang 001; Peihua Li (CVPR, 2019)

Deep Global Generalized Gaussian Networks. - Qilong Wang 001; Peihua Li; Qinghua Hu; Pengfei Zhu 001; Wangmeng Zuo (CVPR, 2019)

New Bounds on the Partial Hamming Correlation of Wide-Gap Frequency-Hopping Sequence Sets. - Peihua Li; Cuiling Fan; Yang Yang 005 (IWSDA, 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 005 (IEEE Access, 2019)

End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks. - Yifan Wang 004; Lijun Wang; Hongyu Wang 001; Peihua Li (IEEE Access, 2019)

New Bounds on Wide-Gap Frequency-Hopping Sequences. - Peihua Li; Cuiling Fan; Yang Yang 005; Yong Wang (IEEE Commun. Lett., 2019)

Resolution-Aware Network for Image Super-Resolution. - Yifan Wang 004; Lijun Wang; Hongyu Wang 001; Peihua Li (IEEE Trans. Circuits Syst. Video Technol., 2019)

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. - Qilong Wang 001; Banggu Wu; Pengfei Zhu 001; Peihua Li; Wangmeng Zuo; Qinghua Hu (CVPR, 2020)

What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. - Qilong Wang 001; Li Zhang; Banggu Wu; Dongwei Ren; Peihua Li; Wangmeng Zuo; Qinghua Hu (CVPR, 2020)

Blind single image super-resolution with a mixture of deep networks. - Yifan Wang 004; Lijun Wang; Hongyu Wang 001; Peihua Li; Huchuan Lu (Pattern Recognit., 2020)

Locality-constrained affine subspace coding for image classification and retrieval. - Bingbing Zhang 001; Qilong Wang 001; Xiaoxiao Lu; Fasheng Wang; Peihua Li (Pattern Recognit., 2020)

Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation. - Hongliang Yan; Zhetao Li; Qilong Wang 001; Peihua Li; Yong Xu 001; Wangmeng Zuo (IEEE Trans. Multim., 2020)

NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization. - Caiyong Wang; Yunlong Wang 003; Kunbo Zhang; Jawad Muhammad; Tianhao Lu; Qi Zhang 015; Qichuan Tian; Zhaofeng He; Zhenan Sun; Yiwen Zhang; Tianbao Liu; Wei Yang 006; et al. (IJCB, 2021)

Research on the Training Mode of Applied Technical Talents in Private Universities in China Based on Big Data Analysis. - Peihua Li (ICISCAE (ACM), 2021)

Temporal-attentive Covariance Pooling Networks for Video Recognition. - Zilin Gao; Qilong Wang 001; Bingbing Zhang 001; Qinghua Hu; Peihua Li (NeurIPS, 2021)

So-ViT: Mind Visual Tokens for Vision Transformer. - Jiangtao Xie; Ruiren Zeng; Qilong Wang 001; Ziqi Zhou; Peihua Li (CoRR, 2021)

Second-order encoding networks for semantic segmentation. - Qiule Sun; Zhimin Zhang; Peihua Li (Neurocomputing, 2021)

Graph attention mechanism with global contextual information for multi-label image recognition. - Xiaoxiao Ban; Peihua Li; Qilong Wang 001; Shoujun Zhou; Shijie Guo; Yuanquan Wang 001 (J. Electronic Imaging, 2021)

Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. - Qilong Wang 001; Jiangtao Xie; Wangmeng Zuo; Lei Zhang 006; Peihua Li (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Multi-scale structural kernel representation for object detection. - Hao Wang 073; Qilong Wang 001; Peihua Li; Wangmeng Zuo (Pattern Recognit., 2021)

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. - Jiangtao Xie; Fei Long; Jiaming Lv; Qilong Wang 001; Peihua Li (CVPR, 2022)

Possible and Necessary Winner Problems in Iterative Elections with Multiple Rules. - Peihua Li; Jiong Guo (FAW, 2022)

Parameterized Approximation Algorithms for TSP. - Jianqi Zhou; Peihua Li; Jiong Guo (ISAAC, 2022)

DropCov: A Simple yet Effective Method for Improving Deep Architectures. - Qilong Wang 001; Mingze Gao; Zhaolin Zhang; Jiangtao Xie; Peihua Li; Qinghua Hu (NeurIPS, 2022)

Second-order convolutional networks for iris recognition. - Lingyao Jia; Xueyu Shi; Qiule Sun; Xingqiang Tang; Peihua Li (Appl. Intell., 2022)

Temporal grafter network: Rethinking LSTM for effective video recognition. - Bingbing Zhang 001; Qilong Wang 001; Zilin Gao; Ruiren Zeng; Peihua Li (Neurocomputing, 2022)

Constructions of Optimal Uniform Wide-Gap Frequency-Hopping Sequences. - Peihua Li; Cuiling Fan; Sihem Mesnager; Yang Yang 005; Zhengchun Zhou (IEEE Trans. Inf. Theory, 2022)

Detachable Second-Order Pooling: Toward High-Performance First-Order Networks. - Lida Li; Jiangtao Xie; Peihua Li; Lei Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Structure correlation-aware attention for Iris recognition. - Lingyao Jia; Qiule Sun; Peihua Li (Neural Comput. Appl., 2023)

Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. - Qilong Wang 001; Zhaolin Zhang; Mingze Gao; Jiangtao Xie; Pengfei Zhu 001; Peihua Li; Wangmeng Zuo; Qinghua Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation. - Jiaming Lv; Haoyuan Yang; Peihua Li (NeurIPS, 2024)

New classes of nearly optimal time-hopping sequence sets for UWB systems. - Peihua Li; Xingyu Zheng; Cuiling Fan (Adv. Math. Commun., 2024)

Rate Maximization of UAV-Assisted Ambient Backscatter Communications. - Xiaoyu Wu; Xu Jiang 002; Bo Li 034; Nan Zhao 001; Peihua Li; Yonghui Li 001; Arumugam Nallanathan (IEEE Wirel. Commun. Lett., 2024)

AMS-Net: Modeling Adaptive Multi-Granularity Spatio-Temporal Cues for Video Action Recognition. - Qilong Wang 001; Qiyao Hu; Zilin Gao; Peihua Li; Qinghua Hu (IEEE Trans. Neural Networks Learn. Syst., 2024)

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition. - Yilong Wang; Zilin Gao; Qilong Wang 001; Zhaofeng Chen; Peihua Li; Qinghua Hu (CVPR, 2025)

ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning. - Haoyuan Yang; Xiaoou Li; Jiaming Lv; Xianjun Cheng; Qilong Wang; Peihua Li (CVPR, 2025)

Stochastic stylization transformer with self-supervision for iris recognition. - Lingyao Jia; Bingbing Zhang; Peihua Li (Multim. Syst., 2025)

DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data. - Junjie Wu; Jiangtao Xie; Zhaolin Zhang; Qilong Wang 001; Qinghua Hu; Peihua Li; Sen Xu (CoRR, 2025)

A2 M2-Net: Adaptively Aligned Multi-scale Moment for Few-Shot Action Recognition. - Zilin Gao; Qilong Wang 001; Bingbing Zhang 001; Qinghua Hu; Peihua Li (Int. J. Comput. Vis., 2025)