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Jingdun Jia
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- affiliation: National Rural Technology Development Center, Ministry of Science and Technology, Beijing, China
- affiliation: Key Laboratory of Agricultural Informatization Standardization, Ministry of Agriculture and Rural Affairs, Beijing, China
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2020 – today
- 2024
- [j25]Zhongqi Lin, Zengwei Zheng, Jingdun Jia, Wanlin Gao:
Reducing vulnerable internal feature correlations to enhance efficient topological structure parsing. Expert Syst. Appl. 247: 123268 (2024) - 2023
- [j24]Zhongqi Lin, Zengwei Zheng, Jingdun Jia, Wanlin Gao, Feng Huang:
ML-CapsNet meets VB-DI-D: A novel distortion-tolerant baseline for perturbed object recognition. Eng. Appl. Artif. Intell. 120: 105937 (2023) - [j23]Zhongqi Lin, Zengwei Zheng, Jingdun Jia, Wanlin Gao, Feng Huang:
DR-CapsNet with CAEMRA: Looking deep inside instance for boosting object detection effect. Eng. Appl. Artif. Intell. 123(Part A): 106218 (2023) - [j22]Zhongqi Lin, Yuan Wang, Zengwei Zheng, Jingdun Jia, Wanlin Gao:
IOP-CapsNet with ISEMRA: Fetching part-to-whole topology for improving detection performance of articulated instances. Expert Syst. Appl. 226: 120247 (2023) - 2022
- [j21]Yan Li, Wanlin Gao, Jingdun Jia, Sha Tao, Yan-zhao Ren:
Developing and evaluating the feasibility of a new spatiotemporal fusion framework to improve remote sensing reflectance and dynamic LAI monitoring. Comput. Electron. Agric. 198: 107037 (2022) - [j20]Zhongqi Lin, Wanlin Gao, Jingdun Jia, Feng Huang:
CapsNet meets ORB: A deformation-tolerant baseline for recognizing distorted targets. Int. J. Intell. Syst. 37(6): 3255-3296 (2022) - [j19]Zhongqi Lin, Jingdun Jia, Feng Huang, Wanlin Gao:
Feature Correlation-Steered Capsule Network for object detection. Neural Networks 147: 25-41 (2022) - 2021
- [j18]Zhongqi Lin, Jingdun Jia, Feng Huang, Wanlin Gao:
A coarse-to-fine capsule network for fine-grained image categorization. Neurocomputing 456: 200-219 (2021) - [j17]Zhongqi Lin, Wanlin Gao, Jingdun Jia, Feng Huang:
CapsNet meets SIFT: A robust framework for distorted target categorization. Neurocomputing 464: 290-316 (2021) - [j16]Li Zhang, Yan-zhao Ren, Sha Tao, Jingdun Jia, Wanlin Gao:
High-Quality Coarse-to-Fine Fruit Detector for Harvesting Robot in Open Environment. KSII Trans. Internet Inf. Syst. 15(2): 421-441 (2021) - [j15]Zhongqi Lin, Wanlin Gao, Feng Huang, Jingdun Jia:
Increasingly Specialized Generative Adversarial Network for fine-grained visual categorization. Knowl. Based Syst. 232: 107480 (2021) - 2020
- [j14]Xia Hao, Jingdun Jia, Abdul Mateen Khattak, Li Zhang, Xuchao Guo, Wanlin Gao, Minjuan Wang:
Growing period classification of Gynura bicolor DC using GL-CNN. Comput. Electron. Agric. 174: 105497 (2020) - [j13]Xia Hao, Jingdun Jia, Wanlin Gao, Xuchao Guo, Wenxin Zhang, Lihua Zheng, Minjuan Wang:
MFC-CNN: An automatic grading scheme for light stress levels of lettuce (Lactuca sativa L.) leaves. Comput. Electron. Agric. 179: 105847 (2020) - [j12]Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang:
Fine-grained visual categorization of butterfly specimens at sub-species level via a convolutional neural network with skip-connections. Neurocomputing 384: 295-313 (2020) - [j11]Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang:
A novel quadruple generative adversarial network for semi-supervised categorization of low-resolution images. Neurocomputing 415: 266-285 (2020) - [j10]Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang:
A hierarchical coarse-to-fine perception for small-target categorization of butterflies under complex backgrounds. J. Intell. Fuzzy Syst. 38(3): 3463-3487 (2020)
2010 – 2019
- 2019
- [j9]Zhongqi Lin, Shaomin Mu, Feng Huang, Khattak Abdul Mateen, Minjuan Wang, Wanlin Gao, Jingdun Jia:
A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases. IEEE Access 7: 11570-11590 (2019) - [j8]Li Zhang, Guan Gui, Abdul Mateen Khattak, Minjuan Wang, Wanlin Gao, Jingdun Jia:
Multi-Task Cascaded Convolutional Networks Based Intelligent Fruit Detection for Designing Automated Robot. IEEE Access 7: 56028-56038 (2019) - [j7]Yue Li, Jingdun Jia, Li Zhang, Abdul Mateen Khattak, Shi Sun, Wanlin Gao, Minjuan Wang:
Soybean Seed Counting Based on Pod Image Using Two-Column Convolution Neural Network. IEEE Access 7: 64177-64185 (2019) - [j6]Guofeng Zhang, Sha Tao, Wan'Ang Xiao, Qiang Cai, Wanlin Gao, Jingdun Jia, Juan Wen:
A Fast and Universal RFID Tag Anti-Collision Algorithm for the Internet of Things. IEEE Access 7: 92365-92377 (2019) - [j5]Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang:
Increasingly Specialized Perception Network for Fine-Grained Visual Categorization of Butterfly Specimens. IEEE Access 7: 123367-123392 (2019) - [j4]Li Zhang, Jingdun Jia, Yue Li, Wanlin Gao, Minjuan Wang:
Deep Learning based Rapid Diagnosis System for Identifying Tomato Nutrition Disorders. KSII Trans. Internet Inf. Syst. 13(4): 2012-2027 (2019) - [j3]Guofeng Zhang, Sha Tao, Lina Yu, Wan'Ang Xiao, Qiang Cai, Wanlin Gao, Jingdun Jia, Juan Wen:
A Fast RFID Tag Anticollision Algorithm for Dynamic Arrival Scenarios Based on First-Come-First-Serve. Mob. Inf. Syst. 2019: 4625758:1-4625758:17 (2019) - 2018
- [j2]Li Zhang, Jingdun Jia, Guan Gui, Xia Hao, Wanlin Gao, Minjuan Wang:
Deep Learning Based Improved Classification System for Designing Tomato Harvesting Robot. IEEE Access 6: 67940-67950 (2018) - [j1]Xue-rui Chen, Jing-dun Jia, Wanlin Gao, Yan-zhao Ren, Sha Tao:
Selection of an index system for evaluating the application level of agricultural engineering technology. Pattern Recognit. Lett. 109: 12-17 (2018)
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last updated on 2024-10-23 21:28 CEST by the dblp team
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