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Books and Theses
- 2023
[b1]Jianlei Liu:
Ein generisches und hoch skalierbares Framework zur Automatisierung und Ausführung wissenschaftlicher Datenverarbeitungs- und Simulationsworkflows. Karlsruhe Institute of Technology, Germany, 2023
Journal Articles
- 2024
- [j12]Sumin Qi, Zhiqi Lee
, Jianlei Liu, Mengjie Han, Yixuan Qin, Qiuxuan Du:
ResX: Feature Extraction Block for Medical Image Segmentation. IEEE Access 12: 28775-28783 (2024) - [j11]Yuanke Zhang, Rui Zhang, Rujuan Cao, Fan Xu, Fengjuan Jiang, Jing Meng, Fei Ma, Yanfei Guo, Jianlei Liu:
Unsupervised low-dose CT denoising using bidirectional contrastive network. Comput. Methods Programs Biomed. 251: 108206 (2024) - [j10]Jianlei Liu, Shilong Wang, Chen Chen, Qianwen Hou:
DFP-Net: An unsupervised dual-branch frequency-domain processing framework for single image dehazing. Eng. Appl. Artif. Intell. 136: 109012 (2024) - [j9]Jianlei Liu, Bingqing Yang, Shilong Wang, Maoli Wang:
MT-Net: Single image dehazing based on meta learning, knowledge transfer and contrastive learning. J. Vis. Commun. Image Represent. 105: 104325 (2024) - [j8]Jianlei Liu, Qianwen Hou, Shilong Wang, Xueqing Zhang:
Semi-supervised single image dehazing based on dual-teacher-student network with knowledge transfer. Signal Image Video Process. 18(6-7): 5073-5087 (2024) - [j7]Yuanke Zhang, Rujuan Cao, Fan Xu, Rui Zhang, Fengjuan Jiang, Jing Meng, Fei Ma, Yanfei Guo, Jianlei Liu:
Side Information-Assisted Low-Dose CT Reconstruction. IEEE Trans. Computational Imaging 10: 1080-1093 (2024) - [j6]Peng Liu, Jianlei Liu:
Knowledge-guided multi-perception attention network for image dehazing. Vis. Comput. 40(9): 6479-6492 (2024) - 2023
- [j5]Jianlei Liu, Peng Liu, Yuanke Zhang:
Multi-scale feature fusion pyramid attention network for single image dehazing. IET Image Process. 17(9): 2726-2735 (2023) - [j4]Jianlei Liu, Hao Yu, Zhongzheng Zhang, Chen Chen, Qianwen Hou:
Deep multi-scale network for single image dehazing with self-guided maps. Signal Image Video Process. 17(6): 2867-2875 (2023) - 2022
- [j3]Malte Chlosta, Jianlei Liu, Rafael Poppenborg, Richard Lutz, Kevin Förderer, Thorsten Schlachter, Veit Hagenmeyer:
An adapter-based architecture for evaluating candidate solutions in energy system scheduling. Energy Inform. 5 (2022) - [j2]Jianlei Liu, Chen Chen, Peng Liu, Zhongzheng Zhang, Hao Yu, Xianfeng Xu:
Three-stage fusion framework for single image dehazing. J. Electronic Imaging 31(6) (2022) - 2018
- [j1]Jianlei Liu:
Visibility distance estimation in foggy situations and single image dehazing based on transmission computation model. IET Image Process. 12(7): 1237-1244 (2018)
Conference and Workshop Papers
- 2023
- [c9]Jianlei Liu, Malte Chlosta, Nicolas Schaber, Jannik Sidler, Richard Lutz, Thorsten Schlachter, Veit Hagenmeyer:
Introducing PROOF - A PROcess Orchestration Framework for the Automation of Computational Scientific Workflows and Co-Simulations. OSMSES 2023: 1-6 - 2021
- [c8]Rafael Poppenborg, Johannes Ruf, Malte Chlosta, Jianlei Liu, Christian Hotz, Clemens Düpmeier, Thomas Kolb, Veit Hagenmeyer:
Energy hub gas: a multi-domain system modelling and co-simulation approach. MSCPES@CPSIoTWeek 2021: 12:1-12:7 - 2019
- [c7]Lingchuan Sun, Jianlei Liu, Yingxin Zhu, Zhuqing Jiang:
Local to Global with Multi-Scale Attention Network for Person Re-Identification. ICIP 2019: 2254-2258 - [c6]Yingxin Zhu, Xiaoqiang Guo, Jianlei Liu, Zhuqing Jiang:
Multi-Branch Context-Aware Network for Person Re-Identification. ICIP 2019: 2274-2278 - [c5]Jianlei Liu, Yun Zhou, Lingchuan Sun, Zhuqing Jiang:
Similarity Preserved Camera-to-Camera Gan for Person Re-Identification. ICME Workshops 2019: 531-536 - [c4]Yingxin Zhu, Xiaoqiang Guo, Jianlei Liu, Zhuqing Jiang:
Multi-Branch Context-Aware Network for Person Re-Identification. ICME 2019: 712-717 - 2018
- [c3]Hatem Khalloof, Wilfried Jakob, Jianlei Liu, Eric Braun, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer:
A generic distributed microservices and container based framework for metaheuristic optimization. GECCO (Companion) 2018: 1363-1370 - [c2]Jianlei Liu, Eric Braun, Clemens Düpmeier, Patrick Kuckertz, David Severin Ryberg, Martin Robinius, Detlef Stolten, Veit Hagenmeyer:
A Generic and Highly Scalable Framework for the Automation and Execution of Scientific Data Processing and Simulation Workflows. ICSA 2018: 145-155 - [c1]Lingchuan Sun, Yun Zhou, Jianlei Liu, Zhuqing Jiang, Zixuan Yang:
Graph Regularized and Label-matched Dictionary Learning for Video-based Person Re-identification. VCIP 2018: 1-4
Coauthor Index
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