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2020 – today
- 2024
[j23]Di Lin, Yue Chen, Yongliang Qiao, Ding Qin, Yuhong Miao, Kai Sheng, Lantao Li, Yilun Wang:
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. 221: 108989 (2024)- [j22]Nan Hu, Daobilige Su
, Shuo Wang, Xuechang Wang, Huiyu Zhong, Zimeng Wang, Yongliang Qiao, Yu Tan:
Segmentation and tracking of vegetable plants by exploiting vegetable shape feature for precision spray of agricultural robots. J. Field Robotics 41(3): 570-586 (2024) - [j21]Luzhi Wang, Yizhen Zheng, Di Jin, Fuyi Li, Yongliang Qiao, Shirui Pan:
Contrastive Graph Similarity Networks. ACM Trans. Web 18(2): 17:1-17:20 (2024) - [c10]Savini Abayaratne, Daobilige Su, Yongliang Qiao:
CropFinder: AI-based Detection and Tracking of Crops for Precision Agriculture. ISIE 2024: 1-6 - [i4]Yu Liu, Yuexin Zhang, Kunming Li, Yongliang Qiao, Stewart Worrall, You-Fu Li, He Kong:
Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction. CoRR abs/2401.04872 (2024) - 2023
- [j20]Yongliang Qiao, Yangyang Guo, Dongjian He:
Cattle body detection based on YOLOv5-ASFF for precision livestock farming. Comput. Electron. Agric. 204: 107579 (2023) - [j19]Chong He, Yongliang Qiao, Rui Mao, Mei Li, Meili Wang:
Enhanced LiteHRNet based sheep weight estimation using RGB-D images. Comput. Electron. Agric. 206: 107667 (2023) - [j18]Shuo Wang, Daobilige Su, Yiyu Jiang, Yu Tan, Yongliang Qiao, Shenghui Yang, Yuliang Feng, Nan Hu:
Fusing vegetation index and ridge segmentation for robust vision based autonomous navigation of agricultural robots in vegetable farms. Comput. Electron. Agric. 213: 108235 (2023) - [j17]Yangyang Guo, Wenhao Hong, Jiaxin Wu, Xiaoping Huang, Yongliang Qiao, He Kong:
Vision-Based Cow Tracking and Feeding Monitoring for Autonomous Livestock Farming: The YOLOv5s-CA+DeepSORT-Vision Transformer. IEEE Robotics Autom. Mag. 30(4): 68-76 (2023) - [c9]Yu Liu, Yuexin Zhang, Kunming Li, Yongliang Qiao, Stewart Worrall, Youfu Li, He Kong:
Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction. ITSC 2023: 4360-4366 - [i3]Nan Hu, Daobilige Su, Shuo Wang, Xuechang Wang, Huiyu Zhong, Zimeng Wang, Yongliang Qiao, Yu Tan:
Segmentation and Tracking of Vegetable Plants by Exploiting Vegetable Shape Feature for Precision Spray of Agricultural Robots. CoRR abs/2306.13518 (2023) - 2022
- [j16]Ke Zhang, Jin Fan, Shaoli Huang, Yongliang Qiao, Xiaofeng Yu, Feiwei Qin:
CEKD: Cross ensemble knowledge distillation for augmented fine-grained data. Appl. Intell. 52(14): 16640-16650 (2022) - [j15]Yongliang Qiao, Yangyang Guo, Keping Yu, Dongjian He:
C3D-ConvLSTM based cow behaviour classification using video data for precision livestock farming. Comput. Electron. Agric. 193: 106650 (2022) - [j14]Jasper Brown, Yongliang Qiao, Cameron E. F. Clark, Sabrina Lomax, Khalid Rafique, Salah Sukkarieh:
Automated aerial animal detection when spatial resolution conditions are varied. Comput. Electron. Agric. 193: 106689 (2022) - [j13]Jiawei Li, Yongliang Qiao, Sha Liu, Jiaheng Zhang, Zhenchao Yang, Meili Wang:
An improved YOLOv5-based vegetable disease detection method. Comput. Electron. Agric. 202: 107345 (2022) - [j12]Shunli Wang, Honghua Jiang, Yongliang Qiao, Shuzhen Jiang, Huaiqin Lin, Qian Sun:
The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming. Sensors 22(17): 6541 (2022) - [j11]Tengfei Xue, Yongliang Qiao, He Kong, Daobilige Su, Shirui Pan, Khalid Rafique, Salah Sukkarieh:
One-Shot Learning-Based Animal Video Segmentation. IEEE Trans. Ind. Informatics 18(6): 3799-3807 (2022) - [c8]Yongliang Qiao, Yangyang Guo, Dongjian He:
Deep Learning-Based Autonomous Cow Detection for Smart Livestock Farming. GPC 2022: 246-258 - [i2]Ke Zhang, Jin Fan, Shaoli Huang, Yongliang Qiao, Xiaofeng Yu, Feiwei Qin:
CEKD: Cross Ensemble Knowledge Distillation for Augmented Fine-grained Data. CoRR abs/2203.06551 (2022) - 2021
- [j10]Yongliang Qiao, He Kong, Cameron E. F. Clark, Sabrina Lomax, Daobilige Su, Stuart Eiffert, Salah Sukkarieh:
Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation. Comput. Electron. Agric. 185: 106143 (2021) - [j9]Daobilige Su, He Kong, Yongliang Qiao, Salah Sukkarieh:
Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics. Comput. Electron. Agric. 190: 106418 (2021) - [j8]Shaochun Xu, Shuai Xu, Yi Zhou, Shidong Yue, Xiaomei Zhang, Ruiting Gu, Yu Zhang, Yongliang Qiao, Mingjie Liu:
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. 13(5): 856 (2021) - [i1]Jasper Brown, Yongliang Qiao, Cameron E. F. Clark, Sabrina Lomax, Khalid Rafique, Salah Sukkarieh:
Automated Aerial Animal Detection When Spatial Resolution Conditions Are Varied. CoRR abs/2110.01329 (2021) - 2020
- [j7]He Kong, Mao Shan, Daobilige Su, Yongliang Qiao, Abdullah Al-Azzawi, Salah Sukkarieh:
Filtering for systems subject to unknown inputs without a priori initial information. Autom. 120: 109122 (2020) - [j6]Honghua Jiang, Chuanyin Zhang, Yongliang Qiao, Zhao Zhang, Wenjing Zhang, Changqing Song:
CNN feature based graph convolutional network for weed and crop recognition in smart farming. Comput. Electron. Agric. 174: 105450 (2020) - [c7]Yongliang Qiao, Daobilige Su, He Kong, Salah Sukkarieh, Sabrina Lomax, Cameron E. F. Clark:
BiLSTM-based Individual Cattle Identification for Automated Precision Livestock Farming. CASE 2020: 967-972 - [c6]Yongliang Qiao, Daobilige Su, He Kong, Salah Sukkarieh, Sabrina Lomax, Cameron E. F. Clark:
Data Augmentation for Deep Learning based Cattle Segmentation in Precision Livestock Farming. CASE 2020: 979-984
2010 – 2019
- 2019
- [j5]Yongliang Qiao, Matthew Truman, Salah Sukkarieh:
Cattle segmentation and contour extraction based on Mask R-CNN for precision livestock farming. Comput. Electron. Agric. 165 (2019) - [j4]Yongliang Qiao, Cindy Cappelle, Yassine Ruichek, Tao Yang:
ConvNet and LSH-Based Visual Localization Using Localized Sequence Matching. Sensors 19(11): 2439 (2019) - 2018
- [j3]Yongliang Qiao, Cindy Cappelle, Yassine Ruichek, Zhao Zhang:
Corrigendum to "Visual Localization by Place Recognition Based on Multifeature (D-λLBP++HOG)". J. Sensors 2018: 9016765:1 (2018) - 2017
- [j2]Yongliang Qiao, Zhao Zhang:
Visual Localization by Place Recognition Based on Multifeature (D-λLBP++HOG). J. Sensors 2017: 2157243:1-2157243:18 (2017) - [j1]Yongliang Qiao, Cindy Cappelle, Yassine Ruichek:
Visual Localization across Seasons Using Sequence Matching Based on Multi-Feature Combination. Sensors 17(11): 2442 (2017) - [c5]Yongliang Qiao, Cindy Cappelle, Tao Yang, Yassine Ruichek:
Visual Localization Based on Place Recognition Using Multi-feature Combination (D- \lambda λ LBP++HOG). ACIVS 2017: 275-287 - 2016
- [c4]Yongliang Qiao, Cindy Cappelle, Yassine Ruichek:
Visual Localization Using Sequence Matching Based on Multi-feature Combination. ACIVS 2016: 324-335 - [c3]Yongliang Qiao, Cindy Cappelle, Yassine Ruichek, Fadi Dornaika:
Visual localization based on sequence matching using ConvNet features. IECON 2016: 1067-1074 - 2015
- [c2]Yongliang Qiao, Cindy Cappelle, Yassine Ruichek:
Place Recognition Based Visual Localization Using LBP Feature and SVM. MICAI (2) 2015: 393-404 - 2014
- [c1]Yongliang Qiao, Cindy Cappelle, Yassine Ruichek:
Image Based Place Recognition and Lidar Validation for Vehicle Localization. MICAI (1) 2014: 304-315
Coauthor Index
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