Peihua Li

About Peihua Li

Peihua Li, With an exceptional h-index of 33 and a recent h-index of 23 (since 2020), a distinguished researcher at Dalian University of Technology, specializes in the field of Computer Vision, Deep Learning, Statistical Modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Rate Maximization of UAV-Assisted Ambient Backscatter Communications

AMS-Net: Modeling Adaptive Multi-Granularity Spatio-Temporal Cues for Video Action Recognition

Towards A Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective

Structure correlation-aware attention for Iris recognition

Dropcov: A simple yet effective method for improving deep architectures

Temporal grafter network: Rethinking lstm for effective video recognition

Second-order convolutional networks for iris recognition

Joint distribution matters: Deep brownian distance covariance for few-shot classification

Peihua Li Information

University

Position

___

Citations(all)

8743

Citations(since 2020)

6917

Cited By

3214

hIndex(all)

33

hIndex(since 2020)

23

i10Index(all)

68

i10Index(since 2020)

42

Email

University Profile Page

Google Scholar

Peihua Li Skills & Research Interests

Computer Vision

Deep Learning

Statistical Modeling

Top articles of Peihua Li

Rate Maximization of UAV-Assisted Ambient Backscatter Communications

IEEE Wireless Communications Letters

2023/12/7

AMS-Net: Modeling Adaptive Multi-Granularity Spatio-Temporal Cues for Video Action Recognition

IEEE Transactions on Neural Networks and Learning Systems

2023/10/12

Towards A Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective

IEEE Transactions on Pattern Analysis and Machine Intelligence

2023/10/2

Structure correlation-aware attention for Iris recognition

Neural Computing and Applications

2023/10

Peihua Li
Peihua Li

H-Index: 23

Dropcov: A simple yet effective method for improving deep architectures

Advances in Neural Information Processing Systems

2022/12/6

Temporal grafter network: Rethinking lstm for effective video recognition

Neurocomputing

2022/9/21

Second-order convolutional networks for iris recognition

Applied Intelligence

2022/8

Xueyu Shi
Xueyu Shi

H-Index: 2

Peihua Li
Peihua Li

H-Index: 23

Joint distribution matters: Deep brownian distance covariance for few-shot classification

2022

Temporal-attentive covariance pooling networks for video recognition

Advances in Neural Information Processing Systems

2021/12/6

Graph attention mechanism with global contextual information for multi-label image recognition

Journal of Electronic Imaging

2021/11/1

Second-order encoding networks for semantic segmentation

Neurocomputing

2021/7/20

Zhimin Zhang
Zhimin Zhang

H-Index: 22

Peihua Li
Peihua Li

H-Index: 23

Sot: Delving deeper into classification head for transformer

arXiv preprint arXiv:2104.10935

2021/4/22

基于多阶信息融合的行为识别方法研究

自动化学报

2021/4/2

Multi-scale structural kernel representation for object detection

Pattern Recognition

2021/2/1

Detachable second-order pooling: Toward high-performance first-order networks

IEEE Transactions on Neural Networks and Learning Systems

2021/2/1

Blind single image super-resolution with a mixture of deep networks

Pattern Recognition

2020/6/1

Locality-constrained affine subspace coding for image classification and retrieval

Pattern Recognition

2020/4/1

Deep CNNs meet global covariance pooling: Better representation and generalization

IEEE transactions on pattern analysis and machine intelligence

2020/2/18

ECA-Net: Efficient channel attention for deep convolutional neural networks.

2020

See List of Professors in Peihua Li University(Dalian University of Technology)