← Authors

Peihua Li

23 papers · 2013–2026 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (46) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (12) 🀝 Dynamic Duo (20) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (109) πŸš€ Conference Pioneer ❓ The Questioner πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (22)

Conferences

CVPR (13) ICCV (4) NIPS (4) AAAI (1) ICML (1)

Top co-authors

Qilong Wang (20) Wangmeng Zuo (9) Jiangtao Xie (8) Qinghua Hu (7) Zilin Gao (5) Jiaming Lv (5) Lei Zhang (4) Fei Long (3) Haoyuan Yang (3) Pengfei Zhu (2)

Keywords

convolutional neural network (9) image classification (5) transfer learning (4) global covariance pooling (3) representation learning (3) feature representation (3) covariance pooling (3) object detection (2) brownian distance covariance (2) few-shot learning (2) matrix power normalization (2) sparse representation (2) fine-grained recognition (2) kernel methods (2) second-order pooling (2) riemannian manifold (2) domain adaptation (1) variational inference (1) manifold learning (1) model compression (1)

Papers

Task-Specific Distance Correlation Matching for Few-Shot Action Recognition AAAI 2026
ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning CVPR 2025
BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition ICML 2025
DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data ICCV 2025
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition CVPR 2025
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation NIPS 2024
DropCov: A Simple yet Effective Method for Improving Deep Architectures NIPS 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification CVPR 2022
Temporal-attentive Covariance Pooling Networks for Video Recognition NIPS 2021
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks CVPR 2020
What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective CVPR 2020
Deep Global Generalized Gaussian Networks CVPR 2019
Global Second-Order Pooling Convolutional Networks CVPR 2019
Multi-Scale Location-Aware Kernel Representation for Object Detection CVPR 2018
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks NIPS 2018
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization CVPR 2018
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition CVPR 2017
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation CVPR 2017
Is Second-Order Information Helpful for Large-Scale Visual Recognition? ICCV 2017
RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian With Application to Material Recognition CVPR 2016
From Dictionary of Visual Words to Subspaces: Locality-Constrained Affine Subspace Coding CVPR 2015
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning ICCV 2013
A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models ICCV 2013