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Jingjuan Guo
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Journal Articles
- 2022
- [j11]Yihao Luo, Xiang Cao, Juntao Zhang
, Jingjuan Guo, Haibo Shen, Tianjiang Wang, Qi Feng
:
CE-FPN: enhancing channel information for object detection. Multim. Tools Appl. 81(21): 30685-30704 (2022) - 2020
- [j10]Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Yihao Luo, Tianjiang Wang:
Object detector with enriched global context information. Multim. Tools Appl. 79(39-40): 29551-29571 (2020) - 2019
- [j9]Caihong Yuan
, Jingjuan Guo, Ping Feng, Zhiqiang Zhao, Chunyan Xu
, Tianjiang Wang, Gwang-Min Choe, Kui Duan:
A jointly learned deep embedding for person re-identification. Neurocomputing 330: 127-137 (2019) - [j8]Caihong Yuan, Jingjuan Guo, Ping Feng, Zhiqiang Zhao, Yihao Luo, Chunyan Xu, Tianjiang Wang, Kui Duan:
Learning deep embedding with mini-cluster loss for person re-identification. Multim. Tools Appl. 78(15): 21145-21166 (2019) - [j7]Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Kui Duan:
Densely convolutional and feature fused object detector. Multim. Tools Appl. 78(24): 35559-35584 (2019) - 2018
- [j6]Zhiqiang Zhao, Ping Feng, Jingjuan Guo, Caihong Yuan
, Tianjiang Wang, Fang Liu, Zhijian Zhao, Zongmin Cui, Bin Wu:
A hybrid tracking framework based on kernel correlation filtering and particle filtering. Neurocomputing 297: 40-49 (2018) - [j5]Ping Feng, Chunyan Xu
, Zhiqiang Zhao, Fang Liu, Jingjuan Guo, Caihong Yuan
, Tianjiang Wang, Kui Duan:
A deep features based generative model for visual tracking. Neurocomputing 308: 245-254 (2018) - [j4]Caihong Yuan, Chunyan Xu, Tianjiang Wang, Fang Liu, Zhiqiang Zhao, Ping Feng, Jingjuan Guo:
Deep multi-instance learning for end-to-end person re-identification. Multim. Tools Appl. 77(10): 12437-12467 (2018) - [j3]Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu:
Bi-branch deconvolution-based convolutional neural network for image classification. Multim. Tools Appl. 77(23): 30233-30250 (2018) - 2017
- [j2]Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu, Caihong Yuan, Jingjuan Guo, Zhijian Zhao, Zongmin Cui:
Dual-scale structural local sparse appearance model for robust object tracking. Neurocomputing 237: 101-113 (2017) - 2014
- [j1]Jingjuan Guo, Shoubo Xu, Zhuming Bi:
An integrated cost-based approach for real estate appraisals. Inf. Technol. Manag. 15(2): 131-139 (2014)
Conference and Workshop Papers
- 2020
- [c2]Qixuan Wang, Jingjuan Guo:
Research on Context Cost Information Model of Assembly Building Based on BIM. CISP-BMEI 2020: 87-92 - 2019
- [c1]Yihao Luo, Quanzheng Yi, Tianjiang Wang, Ling Lin, Yan Xu, Jing Zhou, Caihong Yuan, Jingjuan Guo, Ping Feng, Qi Feng:
A Spiking Neural Network Architecture for Object Tracking. ICIG (1) 2019: 118-132
Informal and Other Publications
- 2021
- [i1]Yihao Luo, Xiang Cao, Juntao Zhang, Jingjuan Guo, Haibo Shen, Tianjiang Wang, Qi Feng:
CE-FPN: Enhancing Channel Information for Object Detection. CoRR abs/2103.10643 (2021)
Coauthor Index
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