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Chengjun Xie
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2020 – today
- 2024
- [j43]Haiyun Liu, Hongbo Chen, Jianming Du, Chengjun Xie, Qiong Zhou, Rujing Wang, Lin Jiao:
Auto-adjustment label assignment-based convolutional neural network for oriented wheat diseases detection. Comput. Electron. Agric. 222: 109029 (2024) - [j42]Qiqi Wang, Jie Zhang, Jianming Du, Ke Zhang, Rui Li, Feng Zhao, Le Zou, Chengjun Xie:
A fine-tuned multimodal large model for power defect image-text question-answering. Signal Image Video Process. 18(12): 9191-9203 (2024) - [j41]Jie Zhang
, Xuanhua He
Pan-Sharpening With Wavelet-Enhanced High-Frequency Information. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c10]Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou:
Frequency-Adaptive Pan-Sharpening with Mixture of Experts. AAAI 2024: 2121-2129 - [c9]Xuanhua He, Tao Hu, Guoli Wang, Zejin Wang, Run Wang, Qian Zhang, Keyu Yan, Ziyi Chen, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou:
Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain. AAAI 2024: 2130-2138 - [c8]Ke Cao, Xuanhua He, Keyu Yan, Tao Hu, Rui Li, Chengjun Xie, Jie Zhang:
Frequency Decomposition-Driven Network for JPEG Artifacts Removal. ICME 2024: 1-6 - [i6]Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou:
Frequency-Adaptive Pan-Sharpening with Mixture of Experts. CoRR abs/2401.02151 (2024) - [i5]Xuanhua He, Ke Cao, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou:
Pan-Mamba: Effective pan-sharpening with State Space Model. CoRR abs/2402.12192 (2024) - [i4]Xuanhua He, Lang Li, Yingying Wang, Hui Zheng, Ke Cao, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou:
Training-Free Large Model Priors for Multiple-in-One Image Restoration. CoRR abs/2407.13181 (2024) - [i3]Ke Cao, Xuanhua He, Tao Hu, Chengjun Xie, Jie Zhang, Man Zhou, Danfeng Hong:
Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusion. CoRR abs/2409.01728 (2024) - 2023
- [j40]Shaowei Qian
An effective pest detection method with automatic data augmentation strategy in the agricultural field. Signal Image Video Process. 17(2): 563-571 (2023) - [j39]Hui Zhang, Jianming Du, Chengjun Xie, Jie Zhang, Shaowei Qian, Rui Li:
AE-FPN: adaptive enhance feature learning for detecting wire defects. Signal Image Video Process. 17(5): 2145-2155 (2023) - [j38]Man Zhou
PAN-Guided Band-Aware Multi-Spectral Feature Enhancement for Pan-Sharpening. IEEE Trans. Computational Imaging 9: 238-249 (2023) - [j37]Xuanhua He
Multiscale Dual-Domain Guidance Network for Pan-Sharpening. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [c7]Keyu Yan, Tingwei Gao, Hui Zhang, Chengjun Xie:
Linking Garment with Person via Semantically Associated Landmarks for Virtual Try-On. CVPR 2023: 17194-17204 - [c6]Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou:
Pyramid Dual Domain Injection Network for Pan-sharpening. ICCV 2023: 12862-12871 - 2022
- [j36]Changcheng Li
Research on Lossless Compression Coding Algorithm of N-Band Parametric Spectral Integer Reversible Transformation Combined With the Lifting Scheme for Hyperspectral Images. IEEE Access 10: 88632-88643 (2022) - [j35]Lin Jiao, Chengjun Xie, Peng Chen, Jianming Du, Rui Li, Jie Zhang:
Adaptive feature fusion pyramid network for multi-classes agricultural pest detection. Comput. Electron. Agric. 195: 106827 (2022) - [j34]Li Zhang, Jianming Du, Shifeng Dong, Fenmei Wang, Chengjun Xie, Rujing Wang:
AM-ResNet: Low-energy-consumption addition-multiplication hybrid ResNet for pest recognition. Comput. Electron. Agric. 202: 107357 (2022) - [j33]Jianming Du, Liu Liu, Rui Li, Lin Jiao, Chengjun Xie, Rujing Wang:
Towards densely clustered tiny pest detection in the wild environment. Neurocomputing 490: 400-412 (2022) - [j32]Liu Liu
A global activated feature pyramid network for tiny pest detection in the wild. Mach. Vis. Appl. 33(5): 76 (2022) - [j31]Ke Zhang
ARFNet: adaptive receptive field network for detecting insulator self-explosion defects. Signal Image Video Process. 16(8): 2211-2219 (2022) - [j30]Keyu Yan
When Pansharpening Meets Graph Convolution Network and Knowledge Distillation. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c5]Keyu Yan
Memory-Augmented Model-Driven Network for Pansharpening. ECCV (19) 2022: 306-322 - [c4]Keyu Yan, Man Zhou, Jie Huang, Feng Zhao, Chengjun Xie, Chongyi Li, Danfeng Hong:
Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network. NeurIPS 2022 - [c3]Zhenyu Zhang, Jianming Du, Shaowei Qian, Chengjun Xie:
Detection of Pin Defects in Transmission Lines Based on Dynamic Receptive Field. PRCV (4) 2022: 389-399 - [i2]Keyu Yan, Man Zhou, Jie Huang, Feng Zhao, Chengjun Xie, Chongyi Li, Danfeng Hong:
Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network. CoRR abs/2210.08181 (2022) - 2021
- [j29]Fangyuan Wang, Rujing Wang, Chengjun Xie, Jie Zhang, Rui Li, Liu Liu:
Convolutional neural network based automatic pest monitoring system using hand-held mobile image analysis towards non-site-specific wild environment. Comput. Electron. Agric. 187: 106268 (2021) - [j28]Rujing Wang, Lin Jiao, Chengjun Xie, Peng Chen, Jianming Du, Rui Li:
S-RPN: Sampling-balanced region proposal network for small crop pest detection. Comput. Electron. Agric. 187: 106290 (2021) - [j27]Peng Chen, Weilu Li, Sijie Yao, Chun Ma, Jun Zhang, Bing Wang, Chunhou Zheng, Chengjun Xie, Dong Liang:
Recognition and counting of wheat mites in wheat fields by a three-step deep learning method. Neurocomputing 437: 21-30 (2021) - [j26]Man Zhou, Rujing Wang, Chengjun Xie, Liu Liu
ReinforceNet: A reinforcement learning embedded object detection framework with region selection network. Neurocomputing 443: 369-379 (2021) - [j25]Liu Liu
Learning region-guided scale-aware feature selection for object detection. Neural Comput. Appl. 33(11): 6389-6403 (2021) - [j24]Rujing Wang, Liu Liu
AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild. Sensors 21(5): 1601 (2021) - [j23]Liu Liu
Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features. IEEE Trans. Ind. Informatics 17(11): 7589-7598 (2021) - [i1]Dengshan Li, Rujing Wang, Chengjun Xie:
A stepped sampling method for video detection using LSTM. CoRR abs/2107.08471 (2021) - 2020
- [j22]Yushan Zhao, Liu Liu
An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild. Appl. Soft Comput. 89: 106128 (2020) - [j21]Fangyuan Wang, Rujing Wang, Chengjun Xie, Po Yang, Liu Liu
Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition. Comput. Electron. Agric. 169: 105222 (2020) - [j20]Lin Jiao, Shifeng Dong, Shengyu Zhang
AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection. Comput. Electron. Agric. 174: 105522 (2020) - [j19]Peng Chen
Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation. Comput. Electron. Agric. 176: 105612 (2020) - [j18]Lin Jiao, Rujing Wang, Chengjun Xie:
C-FCN: Corners-based fully convolutional network for visual object detection. Multim. Tools Appl. 79(39-40): 28841-28857 (2020) - [j17]Dengshan Li
A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network. Sensors 20(3): 578 (2020)
2010 – 2019
- 2019
- [j16]Liu Liu
PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification. IEEE Access 7: 45301-45312 (2019) - [j15]Rui Li
An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field. IEEE Access 7: 160274-160283 (2019) - [j14]Jun Zhang
A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data. Sensors 19(6): 1356 (2019) - [c2]Liu Liu
Deep Learning based Automatic Approach using Hybrid Global and Local Activated Features towards Large-scale Multi-class Pest Monitoring. INDIN 2019: 1507-1510 - 2018
- [j13]Chengjun Xie, Rujing Wang, Jie Zhang, Peng Chen
Multi-level learning features for automatic classification of field crop pests. Comput. Electron. Agric. 152: 233-241 (2018) - [j12]Lei He, Yan Xing
Super-resolution reconstruction based on continued fractions interpolation kernel in the polar coordinates. J. Electronic Imaging 27(04): 043035 (2018) - [j11]DeNan Xia, Peng Chen
Insect Detection and Classification Based on an Improved Convolutional Neural Network. Sensors 18(12): 4169 (2018) - [j10]Zhongpei Wang, Hao Wang, Baofu Fang, Chengjun Xie:
Support vector correlation filter with long-term tracking. Signal Image Video Process. 12(8): 1541-1549 (2018) - [j9]Qiang Wei, Chengjun Xie:
Synchronization in mutual-coupled temporal Boolean networks. Trans. Inst. Meas. Control 40(7): 2211-2216 (2018) - 2017
- [j8]Lei He, Jieqing Tan, Xing Huo, Chengjun Xie:
A novel super-resolution image and video reconstruction approach based on Newton-Thiele's rational kernel in sparse principal component analysis. Multim. Tools Appl. 76(7): 9463-9483 (2017) - [j7]Zhongpei Wang, Hao Wang, Jieqing Tan, Peng Chen
Robust object tracking via multi-scale patch based sparse coding histogram. Multim. Tools Appl. 76(10): 12181-12203 (2017) - 2015
- [j6]Chengjun Xie, Jie Zhang, Rui Li, Jinyan Li, Peilin Hong, Junfeng Xia
Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning. Comput. Electron. Agric. 119: 123-132 (2015) - [j5]Lei He
Super-resolution by polar Newton-Thiele's rational kernel in centralized sparsity paradigm. Signal Process. Image Commun. 31: 86-99 (2015) - [j4]Lei He, Jieqing Tan, Zhuo Su, Xiaonan Luo, Chengjun Xie:
Corrigendum to "Super-resolution by polar Newton-Thiele's rational kernel in centralized sparsity paradigm" [Signal Processing: Image Communication, 31(2015), pp 86-99]. Signal Process. Image Commun. 35: 85-86 (2015) - 2014
- [j3]Chengjun Xie, Jieqing Tan, Peng Chen
Collaborative object tracking model with local sparse representation. J. Vis. Commun. Image Represent. 25(2): 423-434 (2014) - [j2]Chengjun Xie, Jieqing Tan, Peng Chen
Multi-scale patch-based sparse appearance model for robust object tracking. Mach. Vis. Appl. 25(7): 1859-1876 (2014) - 2013
- [j1]Chengjun Xie, Jieqing Tan, Peng Chen
Multiple instance learning tracking method with local sparse representation. IET Comput. Vis. 7(5): 320-334 (2013) - 2012
- [c1]Linli Zhou, Liangtu Song, Chengjun Xie, Jie Zhang:
Applications of Internet of Things in the Facility Agriculture. CCTA (1) 2012: 297-303
Coauthor Index
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