Peihua Li
23 papers · 2013–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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convolutional neural network
(9)
image classification
(5)
transfer learning
(4)
brownian distance covariance
(3)
covariance pooling
(3)
global covariance pooling
(3)
feature representation
(3)
representation learning
(3)
second-order pooling
(2)
object detection
(2)
action recognition
(2)
few-shot learning
(2)
sparse representation
(2)
riemannian manifold
(2)
fine-grained recognition
(2)
kernel methods
(2)
matrix power normalization
(2)
domain adaptation
(1)
variational inference
(1)
manifold learning
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Papers
Task-Specific Distance Correlation Matching for Few-Shot Action Recognition
AAAI 2026
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
ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning
CVPR 2025
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
CVPR 2025
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
NeurIPS 2024
DropCov: A Simple yet Effective Method for Improving Deep Architectures
NeurIPS 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
CVPR 2022
Temporal-attentive Covariance Pooling Networks for Video Recognition
NeurIPS 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
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks
NeurIPS 2018
Multi-Scale Location-Aware Kernel Representation for Object Detection
CVPR 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
Is Second-Order Information Helpful for Large-Scale Visual Recognition?
ICCV 2017
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
CVPR 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
A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models
ICCV 2013
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning
ICCV 2013