Peihua Li

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

Achievements

+12 more ↓

🏃 Academic Marathon (12) 🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11)

🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (4) 🏃 Academic Marathon (12) 🤝 Dynamic Duo (20) 🧬 Topic Evolution 🏆 Keyword Champion (2) 📈 Trend Setter 🗃️ Keyword Collector (109) 🚀 Conference Pioneer ❓ The Questioner 🔥 Unstoppable (8) 💎 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