Peihua Li - RankMe

128 papers A* 23B 9Misc 3Journal 68Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IrisMAE: Structure-aware masked image modeling for iris recognition. Pattern Recognit. Shiao Duan, Lingyao Jia, Peihua Li
2026	A*	`conf`	Task-Specific Distance Correlation Matching for Few-Shot Action Recognition. AAAI Fei Long, Yao Zhang, Jiaming Lv, Jiangtao Xie, Peihua Li
2025	J	`jnl`	A CoRR Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
2025	J	`jnl`	A Int. J. Comput. Vis. Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
2025	A*	`conf`	BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition. ICML Fei Long, Xiaoou Li, Jiaming Lv, Haoyuan Yang, Xianjun Cheng, Peihua Li
2025	J	`jnl`	DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data. CoRR Junjie Wu, Jiangtao Xie, Zhaolin Zhang, Qilong Wang, Qinghua Hu, Peihua Li, Sen Xu
2025	A*	`conf`	ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning. CVPR Haoyuan Yang, Xiaoou Li, Jiaming Lv, Xianjun Cheng, Qilong Wang, Peihua Li
2025	J	`jnl`	Instance-aware context with mutually guided vision-language attention for referring image segmentation. Appl. Intell. Qiule Sun, Jianxin Zhang, Bingbing Zhang, Peihua Li
2025	J	`jnl`	On the Application of a Hybrid Incomplete Exponential Sum to Aperiodic Hamming Correlation of Some Frequency-Hopping Sequences. Entropy Peihua Li, Hongyu Han
2025	J	`jnl`	Stochastic stylization transformer with self-supervision for iris recognition. Multim. Syst. Lingyao Jia, Bingbing Zhang, Peihua Li
2025	A*	`conf`	TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition. CVPR Yilong Wang, Zilin Gao, Qilong Wang, Zhaofeng Chen, Peihua Li, Qinghua Hu
2025	J	`jnl`	Task-Specific Distance Correlation Matching for Few-Shot Action Recognition. CoRR Fei Long, Yao Zhang, Jiaming Lv, Jiangtao Xie, Peihua Li
2024	J	`jnl`	AMS-Net: Modeling Adaptive Multi-Granularity Spatio-Temporal Cues for Video Action Recognition. IEEE Trans. Neural Networks Learn. Syst. Qilong Wang, Qiyao Hu, Zilin Gao, Peihua Li, Qinghua Hu
2024	J	`jnl`	New classes of nearly optimal time-hopping sequence sets for UWB systems. Adv. Math. Commun. Peihua Li, Xingyu Zheng, Cuiling Fan
2024	J	`jnl`	Rate Maximization of UAV-Assisted Ambient Backscatter Communications. IEEE Wirel. Commun. Lett. Xiaoyu Wu, Xu Jiang, Bo Li, Nan Zhao, Peihua Li, Yonghui Li, Arumugam Nallanathan
2024	J	`jnl`	TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition. CoRR Yilong Wang, Zilin Gao, Qilong Wang, Zhaofeng Chen, Peihua Li, Qinghua Hu
2024	A*	`conf`	Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation. NeurIPS Jiaming Lv, Haoyuan Yang, Peihua Li
2024	J	`jnl`	Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation. CoRR Jiaming Lv, Haoyuan Yang, Peihua Li
2023	J	`jnl`	Structure correlation-aware attention for Iris recognition. Neural Comput. Appl. Lingyao Jia, Qiule Sun, Peihua Li
2023	J	`jnl`	Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Qilong Wang, Zhaolin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
2022	J	`jnl`	Constructions of Optimal Uniform Wide-Gap Frequency-Hopping Sequences. IEEE Trans. Inf. Theory Peihua Li, Cuiling Fan, Sihem Mesnager, Yang Yang, Zhengchun Zhou
2022	J	`jnl`	Detachable Second-Order Pooling: Toward High-Performance First-Order Networks. IEEE Trans. Neural Networks Learn. Syst. Lida Li, Jiangtao Xie, Peihua Li, Lei Zhang
2022	A*	`conf`	DropCov: A Simple yet Effective Method for Improving Deep Architectures. NeurIPS Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu
2022	A*	`conf`	Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. CVPR Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li
2022	J	`jnl`	Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. CoRR Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li
2022	B	`conf`	Parameterized Approximation Algorithms for TSP. ISAAC Jianqi Zhou, Peihua Li, Jiong Guo
2022	Misc	`conf`	Possible and Necessary Winner Problems in Iterative Elections with Multiple Rules. FAW Peihua Li, Jiong Guo
2022	J	`jnl`	Second-order convolutional networks for iris recognition. Appl. Intell. Lingyao Jia, Xueyu Shi, Qiule Sun, Xingqiang Tang, Peihua Li
2022	J	`jnl`	Temporal grafter network: Rethinking LSTM for effective video recognition. Neurocomputing Bingbing Zhang, Qilong Wang, Zilin Gao, Ruiren Zeng, Peihua Li
2021	J	`jnl`	Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li
2021	J	`jnl`	Graph attention mechanism with global contextual information for multi-label image recognition. J. Electronic Imaging Xiaoxiao Ban, Peihua Li, Qilong Wang, Shoujun Zhou, Shijie Guo, Yuanquan Wang
2021	J	`jnl`	Multi-scale structural kernel representation for object detection. Pattern Recognit. Hao Wang, Qilong Wang, Peihua Li, Wangmeng Zuo
2021	B	`conf`	NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization. IJCB 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
2021	—	`conf`	Research on the Training Mode of Applied Technical Talents in Private Universities in China Based on Big Data Analysis. ICISCAE (ACM) Peihua Li
2021	J	`jnl`	Second-order encoding networks for semantic segmentation. Neurocomputing Qiule Sun, Zhimin Zhang, Peihua Li
2021	J	`jnl`	So-ViT: Mind Visual Tokens for Vision Transformer. CoRR Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li
2021	A*	`conf`	Temporal-attentive Covariance Pooling Networks for Video Recognition. NeurIPS Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
2021	J	`jnl`	Temporal-attentive Covariance Pooling Networks for Video Recognition. CoRR Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
2020	J	`jnl`	Blind single image super-resolution with a mixture of deep networks. Pattern Recognit. Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li, Huchuan Lu
2020	A*	`conf`	ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CVPR Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
2020	J	`jnl`	Locality-constrained affine subspace coding for image classification and retrieval. Pattern Recognit. Bingbing Zhang, Qilong Wang, Xiaoxiao Lu, Fasheng Wang, Peihua Li
2020	J	`jnl`	Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation. IEEE Trans. Multim. Hongliang Yan, Zhetao Li, Qilong Wang, Peihua Li, Yong Xu, Wangmeng Zuo
2020	A*	`conf`	What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. CVPR Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu
2020	J	`jnl`	What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective. CoRR Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu
2019	J	`jnl`	Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. CoRR Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li
2019	A*	`conf`	Deep Global Generalized Gaussian Networks. CVPR Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo
2019	J	`jnl`	ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CoRR Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
2019	J	`jnl`	End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks. IEEE Access Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li
2019	A*	`conf`	Global Second-Order Pooling Convolutional Networks. CVPR Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li
2019	J	`jnl`	New Bounds on Wide-Gap Frequency-Hopping Sequences. IEEE Commun. Lett. Peihua Li, Cuiling Fan, Yang Yang, Yong Wang
2019	J	`jnl`	New Bounds on the Partial Hamming Correlation of Wide-Gap Frequency-Hopping Sequence Sets With Low Hit Zone. IEEE Access Peihua Li, Cuiling Fan, Yang Yang
2019	—	`conf`	New Bounds on the Partial Hamming Correlation of Wide-Gap Frequency-Hopping Sequence Sets. IWSDA Peihua Li, Cuiling Fan, Yang Yang
2019	J	`jnl`	Resolution-Aware Network for Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li
2018	J	`jnl`	An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification. IEEE Trans. Circuits Syst. Video Technol. Qilong Wang, Xiaoxiao Lu, Peihua Li, Zhenguo Gao, Yongri Piao
2018	A*	`conf`	Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks. NeurIPS Qilong Wang, Zilin Gao, Jiangtao Xie, Wangmeng Zuo, Peihua Li
2018	J	`jnl`	Global Second-order Pooling Convolutional Networks. CoRR Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li
2018	J	`jnl`	Hyperlayer Bilinear Pooling with application to fine-grained categorization and image retrieval. Neurocomputing Qiule Sun, Qilong Wang, Jianxin Zhang, Peihua Li
2018	J	`jnl`	Information-Compensated Downsampling for Image Super-Resolution. IEEE Signal Process. Lett. Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li
2018	A*	`conf`	Multi-Scale Location-Aware Kernel Representation for Object Detection. CVPR Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo
2018	J	`jnl`	Multi-scale Location-aware Kernel Representation for Object Detection. CoRR Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo
2018	J	`jnl`	Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification. IEEE Access Qiule Sun, Jianxin Zhang, Pengfei Zhu, Qilong Wang, Peihua Li
2018	A*	`conf`	Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CVPR Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao
2017	—	`conf`	Deep Convolutional Features for Iris Recognition. CCBR Xingqiang Tang, Jiangtao Xie, Peihua Li
2017	A*	`conf`	G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. CVPR Qilong Wang, Peihua Li, Lei Zhang
2017	J	`jnl`	High-Order Local Pooling and Encoding Gaussians Over a Dictionary of Gaussians. IEEE Trans. Image Process. Peihua Li, Hui Zeng, Qilong Wang, Simon C. K. Shiu, Lei Zhang
2017	—	`conf`	Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation. ICCV Workshops Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang
2017	J	`jnl`	Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation. CoRR Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang
2017	A*	`conf`	Is Second-Order Information Helpful for Large-Scale Visual Recognition? ICCV Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo
2017	J	`jnl`	Is Second-order Information Helpful for Large-scale Visual Recognition? CoRR Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo
2017	J	`jnl`	Joint distance and similarity measure learning based on triplet-based constraints. Inf. Sci. Mu Li, Qilong Wang, David Zhang, Peihua Li, Wangmeng Zuo
2017	J	`jnl`	Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. Peihua Li, Qilong Wang, Hui Zeng, Lei Zhang
2017	A*	`conf`	Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CVPR Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo
2017	J	`jnl`	Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CoRR Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo
2017	J	`jnl`	Ordered over-relaxation based Langevin Monte Carlo sampling for visual tracking. Neurocomputing Fasheng Wang, Peihua Li, Xucheng Li, Mingyu Lu
2017	B	`conf`	Part-based convolutional neural network for visual recognition. ICIP Lingxiao Yang, Xiaohua Xie, Peihua Li, David Zhang, Lei Zhang
2017	J	`jnl`	Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CoRR Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao
2016	J	`jnl`	End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks. CoRR Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li
2016	J	`jnl`	Evaluation of ground distances and features in EMD-based GMM matching for texture classification. Pattern Recognit. Hua Hao, Qilong Wang, Peihua Li, Lei Zhang
2016	A*	`conf`	RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition. CVPR Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang
2016	J	`jnl`	Towards effective codebookless model for image classification. Pattern Recognit. Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo
2015	B	`conf`	Ask the dictionary: Soft-assignment location-orientation pooling for image classification. ICIP Qilong Wang, Xiaona Deng, Peihua Li, Lei Zhang
2015	A*	`conf`	From dictionary of visual words to subspaces: Locality-constrained affine subspace coding. CVPR Peihua Li, Xiaoxiao Lu, Qilong Wang
2015	B	`conf`	High-order information for robust iris recognition under less controlled conditions. ICIP Guanglei Yang, Hui Zeng, Peihua Li, Lei Zhang
2015	J	`jnl`	Manifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications. IEEE Trans. Image Process. Yuwei Wu, Yunde Jia, Peihua Li, Jian Zhang, Junsong Yuan
2015	J	`jnl`	Towards Effective Codebookless Model for Image Classification. CoRR Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo
2014	J	`jnl`	An enhanced XOR-based scheme for wireless packet retransmission problem. Int. J. Commun. Syst. Zhenguo Gao, Weidong Xiang, Guozhen Tan, Nianmin Yao, Peihua Li
2014	—	`conf`	Shrinkage Expansion Adaptive Metric Learning. ECCV (7) Qilong Wang, Wangmeng Zuo, Lei Zhang, Peihua Li
2014	B	`conf`	The first ICB* competition on iris recognition. IJCB 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
2013	A*	`conf`	A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models. ICCV Peihua Li, Qilong Wang, Lei Zhang
2013	A*	`conf`	Log-Euclidean Kernels for Sparse Representation and Dictionary Learning. ICCV Peihua Li, Qilong Wang, Wangmeng Zuo, Lei Zhang
2013	J	`jnl`	Tensor-SIFT Based Earth Mover's Distance for Contour Tracking. J. Math. Imaging Vis. Peihua Li
2013	Misc	`conf`	Variational Earth Mover's Distance for Image Segmentation. ICIG Peihua Li, Qilong Wang
2012	J	`jnl`	An Efficient Particle Filter-based Tracking Method Using Graphics Processing Unit (GPU). J. Signal Process. Syst. Peihua Li
2012	J	`jnl`	Iris recognition in non-ideal imaging conditions. Pattern Recognit. Lett. Peihua Li, Hongwei Ma
2012	B	`conf`	Iris recognition using ordinal encoding of Log-Euclidean covariance matrices. ICPR Peihua Li, Guolong Wu
2012	—	`conf`	Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications. ECCV (3) Peihua Li, Qilong Wang
2012	—	`conf`	Robust Registration-Based Tracking by Sparse Representation with Model Update. ACCV (3) Peihua Li, Qilong Wang
2012	—	`conf`	Tensor decomposition of SIFT descriptors for person identification. ICB Xiaomin Liu, Peihua Li
2012	J	`jnl`	Weighted co-occurrence phase histogram for iris recognition. Pattern Recognit. Lett. Peihua Li, Xiaomin Liu, Nannan Zhao
2011	—	`conf`	An Iris Recognition Approach with SIFT Descriptors. ICIC (2) Xiaomin Liu, Peihua Li
2011	—	`conf`	Tensor-based covariance matrices for object tracking. ICCV Workshops Peihua Li, Qi Sun
2011	—	`conf`	Tracking Objects Using Orientation Covariance Matrices. ICIC (1) Peihua Li, Qi Sun
2010	J	`jnl`	Robust and accurate iris segmentation in very noisy iris images. Image Vis. Comput. Peihua Li, Xiaomin Liu, Lijuan Xiao, Qi Song
2010	J	`jnl`	Tensor-SIFT based Earth Mover's Distance for Contour Tracking CoRR Peihua Li
2009	—	`conf`	A Parabolic Detection Algorithm Based on Kernel Density Estimation. ICIC (1) Xiaomin Liu, Qi Song, Peihua Li
2009	—	`conf`	Eyelid Localization in Iris Images Captured in Less Constrained Environment. ICB Xiaomin Liu, Peihua Li, Qi Song
2009	—	`conf`	Histogram-Based Partial Differential Equation for Object Tracking. ICAPR Peihua Li, Lijuan Xiao
2009	Misc	`conf`	Mean Shift Parallel Tracking on GPU. IbPRIA Peihua Li, Lijuan Xiao
2009	—	`conf`	Robust Acoustic Source Localization with TDOA Based RANSAC Algorithm. ICIC (1) Peihua Li, Xianzhe Ma
2008	J	`jnl`	An Adaptive Binning Color Model for Mean Shift Tracking. IEEE Trans. Circuits Syst. Video Technol. Peihua Li
2008	B	`conf`	An incremental method for accurate iris segmentation. ICPR Peihua Li, Xiaomin Liu
2008	J	`jnl`	Histogram feature-based Fisher linear discriminant for face detection. Neural Comput. Appl. Haijing Wang, Peihua Li, Tianwen Zhang
2008	B	`conf`	Improvement on Mean Shift based tracking using second-order information. ICPR Lijuan Xiao, Peihua Li
2007	J	`jnl`	Boosted Gaussian Classifier with Integral Histogram for Face Detection. Int. J. Pattern Recognit. Artif. Intell. Haijing Wang, Peihua Li, Tianwen Zhang
2007	—	`conf`	Object Tracking with Particle Filter Using Color Information. MIRAGE Peihua Li, Haijing Wang
2006	—	`conf`	A clustering Based Color Model and Fast Algorithm for Object Tracking. ICPR (1) Peihua Li
2006	J	`jnl`	A clustering-based color model and integral images for fast object tracking. Signal Process. Image Commun. Peihua Li
2006	—	`conf`	Histogram Features-Based Fisher Linear Discriminant for Face Detection. ACCV (2) Haijing Wang, Peihua Li, Tianwen Zhang
2005	A*	`conf`	A Shape Tracking Algorithm for Visual Servoing. ICRA Peihua Li, François Chaumette, Omar Tahri
2005	—	`conf`	Novel likelihood estimation technique based on boosting detector. ICIP (3) Haijing Wang, Peihua Li, Tianwen Zhang
2005	—	`conf`	Probabilistic Object Tracking Based on Machine Learning and Importance Sampling. IbPRIA (1) Peihua Li, Haijing Wang
2005	—	`conf`	Proposal of Novel Histogram Features for Face Detection. ICAPR (2) Haijing Wang, Peihua Li, Tianwen Zhang
2004	—	`conf`	Image Cues Fusion for Object Tracking Based on Particle Filter. AMDO Peihua Li, François Chaumette
2004	—	`conf`	Probabilistic Face Tracking Using Boosted Multi-view Detector. PCM (2) Peihua Li, Haijing Wang
2004	—	`conf`	Towards A Robust and Real-time Face Detection and Tracking Framework. ICVGIP Peihua Li, Kai Xie
2004	J	`jnl`	Unscented Kalman filter for visual curve tracking. Image Vis. Comput. Peihua Li, Tianwen Zhang, Bo Ma
2003	J	`jnl`	Visual contour tracking based on particle filters. Image Vis. Comput. Peihua Li, Tianwen Zhang, Arthur E. C. Pece
2002	—	`conf`	Visual Contour Tracking Based on Sequential Importance Sampling/Resampling Algorithm. ICPR (2) Peihua Li, Tianwen Zhang