Jingdun Jia

Orcid: 0000-0001-9333-6934

Affiliations:
  • National Rural Technology Development Center, Ministry of Science and Technology, Beijing, China
  • Key Laboratory of Agricultural Informatization Standardization, Ministry of Agriculture and Rural Affairs, Beijing, China


According to our database1, Jingdun Jia authored at least 25 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Reducing vulnerable internal feature correlations to enhance efficient topological structure parsing.
Expert Syst. Appl., 2024

2023
IOP-CapsNet with ISEMRA: Fetching part-to-whole topology for improving detection performance of articulated instances.
Expert Syst. Appl., September, 2023

ML-CapsNet meets VB-DI-D: A novel distortion-tolerant baseline for perturbed object recognition.
Eng. Appl. Artif. Intell., April, 2023

DR-CapsNet with CAEMRA: Looking deep inside instance for boosting object detection effect.
Eng. Appl. Artif. Intell., 2023

2022
Feature Correlation-Steered Capsule Network for object detection.
Neural Networks, 2022

CapsNet meets ORB: A deformation-tolerant baseline for recognizing distorted targets.
Int. J. Intell. Syst., 2022

Developing and evaluating the feasibility of a new spatiotemporal fusion framework to improve remote sensing reflectance and dynamic LAI monitoring.
Comput. Electron. Agric., 2022

2021
Increasingly Specialized Generative Adversarial Network for fine-grained visual categorization.
Knowl. Based Syst., 2021

High-Quality Coarse-to-Fine Fruit Detector for Harvesting Robot in Open Environment.
KSII Trans. Internet Inf. Syst., 2021

A coarse-to-fine capsule network for fine-grained image categorization.
Neurocomputing, 2021

CapsNet meets SIFT: A robust framework for distorted target categorization.
Neurocomputing, 2021

2020
A hierarchical coarse-to-fine perception for small-target categorization of butterflies under complex backgrounds.
J. Intell. Fuzzy Syst., 2020

A novel quadruple generative adversarial network for semi-supervised categorization of low-resolution images.
Neurocomputing, 2020

Fine-grained visual categorization of butterfly specimens at sub-species level via a convolutional neural network with skip-connections.
Neurocomputing, 2020

Growing period classification of <i>Gynura bicolor</i> DC using GL-CNN.
Comput. Electron. Agric., 2020

MFC-CNN: An automatic grading scheme for light stress levels of lettuce (<i>Lactuca sativa</i> L.) leaves.
Comput. Electron. Agric., 2020

2019
A Fast RFID Tag Anticollision Algorithm for Dynamic Arrival Scenarios Based on First-Come-First-Serve.
Mob. Inf. Syst., 2019

Deep Learning based Rapid Diagnosis System for Identifying Tomato Nutrition Disorders.
KSII Trans. Internet Inf. Syst., 2019

A Fast and Universal RFID Tag Anti-Collision Algorithm for the Internet of Things.
IEEE Access, 2019

Multi-Task Cascaded Convolutional Networks Based Intelligent Fruit Detection for Designing Automated Robot.
IEEE Access, 2019

A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases.
IEEE Access, 2019

Increasingly Specialized Perception Network for Fine-Grained Visual Categorization of Butterfly Specimens.
IEEE Access, 2019

Soybean Seed Counting Based on Pod Image Using Two-Column Convolution Neural Network.
IEEE Access, 2019

2018
Selection of an index system for evaluating the application level of agricultural engineering technology.
Pattern Recognit. Lett., 2018

Deep Learning Based Improved Classification System for Designing Tomato Harvesting Robot.
IEEE Access, 2018


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