Jiaquan Shen

Orcid: 0000-0002-2787-2584

According to our database1, Jiaquan Shen authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
An Instrument Indication Acquisition Algorithm Based on Lightweight Deep Convolutional Neural Network and Hybrid Attention Fine-Grained Features.
IEEE Trans. Instrum. Meas., 2024

2023
FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object Detection.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022
An Anchor-Free Lightweight Deep Convolutional Network for Vehicle Detection in Aerial Images.
IEEE Trans. Intell. Transp. Syst., 2022

Finger Vein Recognition Algorithm Based on Lightweight Deep Convolutional Neural Network.
IEEE Trans. Instrum. Meas., 2022

An Anchor-Free Vehicle Detection Algorithm in Aerial Image Based on Context Information and Transformer.
IEEE Geosci. Remote. Sens. Lett., 2022

Lightweight Deep Network With Context Information and Attention Mechanism for Vehicle Detection in Aerial Image.
IEEE Geosci. Remote. Sens. Lett., 2022

Learning State Assessment in Online Education Based on Multiple Facial Features Detection.
Comput. Intell. Neurosci., 2022

2021
Vehicle detection in aerial images based on lightweight deep convolutional network.
IET Image Process., 2021

2020
Deeper SSD: Simultaneous Up-sampling and Down-sampling for Drone Detection.
KSII Trans. Internet Inf. Syst., 2020

Defect detection of printed circuit board based on lightweight deep convolution network.
IET Image Process., 2020

TIB-Net: Drone Detection Network With Tiny Iterative Backbone.
IEEE Access, 2020

A Novel Semantics-Preserving Hashing for Fine-Grained Image Retrieval.
IEEE Access, 2020

2019
Vehicle Detection in Aerial Images Based on Hyper Feature Map in Deep Convolutional Network.
KSII Trans. Internet Inf. Syst., 2019

Vehicle Detection in Aerial Images Based on Lightweight Deep Convolutional Network and Generative Adversarial Network.
IEEE Access, 2019


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