Li, Peihua

25 publications

ICML 2025 BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition Fei Long, Xiaoou Li, Jiaming Lv, Haoyuan Yang, Xianjun Cheng, Peihua Li

ICCV 2025 DALIP: Distribution Alignment-Based Language-Image Pre-Training for Domain-Specific Data Junjie Wu, Jiangtao Xie, Zhaolin Zhang, Qilong Wang, Qinghua Hu, Peihua Li, Sen Xu

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 TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Yilong Wang, Zilin Gao, Qilong Wang, Zhaofeng Chen, Peihua Li, Qinghua Hu

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

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

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

NeurIPS 2021 Temporal-Attentive Covariance Pooling Networks for Video Recognition Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li

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

CVPR 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

CVPR 2019 Deep Global Generalized Gaussian Networks Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo

CVPR 2019 Global Second-Order Pooling Convolutional Networks Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li

NeurIPS 2018 Global Gated Mixture of Second-Order Pooling for Improving Deep Convolutional Neural Networks Qilong Wang, Zilin Gao, Jiangtao Xie, Wangmeng Zuo, Peihua Li

CVPR 2018 Multi-Scale Location-Aware Kernel Representation for Object Detection Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo

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

CVPR 2017 G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition Qilong Wang, Peihua Li, Lei Zhang

ICCVW 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

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

CVPR 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

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

CVPR 2015 From Dictionary of Visual Words to Subspaces: Locality-Constrained Affine Subspace Coding Peihua Li, Xiaoxiao Lu, Qilong Wang

ECCV 2014 Shrinkage Expansion Adaptive Metric Learning Qilong Wang, Wangmeng Zuo, Lei Zhang, Peihua Li

ICCV 2013 A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models Peihua Li, Qilong Wang, Lei Zhang

ICCV 2013 Log-Euclidean Kernels for Sparse Representation and Dictionary Learning Peihua Li, Qilong Wang, Wangmeng Zuo, Lei Zhang

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