Yongliang Qiao

Orcid: 0000-0003-2142-0154

According to our database1, Yongliang Qiao authored at least 33 papers between 2014 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
Contrastive Graph Similarity Networks.
ACM Trans. Web, May, 2024

Segmentation and tracking of vegetable plants by exploiting vegetable shape feature for precision spray of agricultural robots.
J. Field Robotics, May, 2024

A study on an accurate modeling for distinguishing nitrogen, phosphorous and potassium status in summer maize using in situ canopy hyperspectral data.
Comput. Electron. Agric., 2024

CropFinder: AI-based Detection and Tracking of Crops for Precision Agriculture.
Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024

2023
Vision-Based Cow Tracking and Feeding Monitoring for Autonomous Livestock Farming: The YOLOv5s-CA+DeepSORT-Vision Transformer.
IEEE Robotics Autom. Mag., December, 2023

Fusing vegetation index and ridge segmentation for robust vision based autonomous navigation of agricultural robots in vegetable farms.
Comput. Electron. Agric., October, 2023

Enhanced LiteHRNet based sheep weight estimation using RGB-D images.
Comput. Electron. Agric., March, 2023

Cattle body detection based on YOLOv5-ASFF for precision livestock farming.
Comput. Electron. Agric., 2023

Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
One-Shot Learning-Based Animal Video Segmentation.
IEEE Trans. Ind. Informatics, 2022

The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming.
Sensors, 2022

C3D-ConvLSTM based cow behaviour classification using video data for precision livestock farming.
Comput. Electron. Agric., 2022

An improved YOLOv5-based vegetable disease detection method.
Comput. Electron. Agric., 2022

Automated aerial animal detection when spatial resolution conditions are varied.
Comput. Electron. Agric., 2022

CEKD: Cross ensemble knowledge distillation for augmented fine-grained data.
Appl. Intell., 2022

Deep Learning-Based Autonomous Cow Detection for Smart Livestock Farming.
Proceedings of the Green, Pervasive, and Cloud Computing - 17th International Conference, 2022

2021
Long-Term Changes in the Unique and Largest Seagrass Meadows in the Bohai Sea (China) Using Satellite (1974-2019) and Sonar Data: Implication for Conservation and Restoration.
Remote. Sens., 2021

Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics.
Comput. Electron. Agric., 2021

Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation.
Comput. Electron. Agric., 2021

2020
CNN feature based graph convolutional network for weed and crop recognition in smart farming.
Comput. Electron. Agric., 2020

Filtering for systems subject to unknown inputs without a priori initial information.
Autom., 2020

Data Augmentation for Deep Learning based Cattle Segmentation in Precision Livestock Farming.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

BiLSTM-based Individual Cattle Identification for Automated Precision Livestock Farming.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019
ConvNet and LSH-Based Visual Localization Using Localized Sequence Matching.
Sensors, 2019

Cattle segmentation and contour extraction based on Mask R-CNN for precision livestock farming.
Comput. Electron. Agric., 2019

2018
Corrigendum to "Visual Localization by Place Recognition Based on Multifeature (D-<i>λ</i>LBP++HOG)".
J. Sensors, 2018

2017
Visual Localization across Seasons Using Sequence Matching Based on Multi-Feature Combination.
Sensors, 2017

Visual Localization by Place Recognition Based on Multifeature (D-<i>λ</i>LBP++HOG).
J. Sensors, 2017

Visual Localization Based on Place Recognition Using Multi-feature Combination (D- \lambda λ LBP++HOG).
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017

2016
Visual localization based on sequence matching using ConvNet features.
Proceedings of the IECON 2016, 2016

Visual Localization Using Sequence Matching Based on Multi-feature Combination.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016

2015
Place Recognition Based Visual Localization Using LBP Feature and SVM.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015

2014
Image Based Place Recognition and Lidar Validation for Vehicle Localization.
Proceedings of the Human-Inspired Computing and Its Applications, 2014


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