Jianlei Liu

According to our database, Jianlei Liu authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Knowledge-guided multi-perception attention network for image dehazing.

Peng Liu, Jianlei Liu

Vis. Comput., September, 2024

Semi-supervised single image dehazing based on dual-teacher-student network with knowledge transfer.

Jianlei Liu, Qianwen Hou, Shilong Wang, Xueqing Zhang

Signal Image Video Process., August, 2024

Side Information-Assisted Low-Dose CT Reconstruction.

Yuanke Zhang, Rujuan Cao, Fan Xu, Rui Zhang, Fengjuan Jiang, Jing Meng, Fei Ma, Yanfei Guo, Jianlei Liu

IEEE Trans. Computational Imaging, 2024

MT-Net: Single image dehazing based on meta learning, knowledge transfer and contrastive learning.

Jianlei Liu, Bingqing Yang, Shilong Wang, Maoli Wang

J. Vis. Commun. Image Represent., 2024

DFP-Net: An unsupervised dual-branch frequency-domain processing framework for single image dehazing.

Jianlei Liu, Shilong Wang, Chen Chen, Qianwen Hou

Eng. Appl. Artif. Intell., 2024

Unsupervised low-dose CT denoising using bidirectional contrastive network.

Yuanke Zhang, Rui Zhang, Rujuan Cao, Fan Xu, Fengjuan Jiang, Jing Meng, Fei Ma, Yanfei Guo, Jianlei Liu

Comput. Methods Programs Biomed., 2024

ResX: Feature Extraction Block for Medical Image Segmentation.

Sumin Qi, Zhiqi Lee, Jianlei Liu, Mengjie Han, Yixuan Qin, Qiuxuan Du

IEEE Access, 2024

2023

Ein generisches und hoch skalierbares Framework zur Automatisierung und Ausführung wissenschaftlicher Datenverarbeitungs- und Simulationsworkflows.

Jianlei Liu

PhD thesis, 2023

Deep multi-scale network for single image dehazing with self-guided maps.

Jianlei Liu, Hao Yu, Zhongzheng Zhang, Chen Chen, Qianwen Hou

Signal Image Video Process., 2023

Multi-scale feature fusion pyramid attention network for single image dehazing.

Jianlei Liu, Peng Liu, Yuanke Zhang

IET Image Process., 2023

Introducing PROOF - A PROcess Orchestration Framework for the Automation of Computational Scientific Workflows and Co-Simulations.

Jianlei Liu, Malte Chlosta, Nicolas Schaber, Jannik Sidler, Richard Lutz, Thorsten Schlachter, Veit Hagenmeyer

Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2023

2022

Three-stage fusion framework for single image dehazing.

Jianlei Liu, Chen Chen, Peng Liu, Zhongzheng Zhang, Hao Yu, Xianfeng Xu

J. Electronic Imaging, 2022

An adapter-based architecture for evaluating candidate solutions in energy system scheduling.

Malte Chlosta, Jianlei Liu, Rafael Poppenborg, Richard Lutz, Kevin Förderer, Thorsten Schlachter, Veit Hagenmeyer

Energy Inform., 2022

2021

Energy hub gas: a multi-domain system modelling and co-simulation approach.

Rafael Poppenborg, Johannes Ruf, Malte Chlosta, Jianlei Liu, Christian Hotz, Clemens Düpmeier, Thomas Kolb, Veit Hagenmeyer

Proceedings of the MSCPES@CPSIoTWeek '21: Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Virtual Event, May 19, 2021

2019

Multi-Branch Context-Aware Network for Person Re-Identification.

Yingxin Zhu, Xiaoqiang Guo, Jianlei Liu, Zhuqing Jiang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Similarity Preserved Camera-to-Camera Gan for Person Re-Identification.

Jianlei Liu, Yun Zhou, Lingchuan Sun, Zhuqing Jiang

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Local to Global with Multi-Scale Attention Network for Person Re-Identification.

Lingchuan Sun, Jianlei Liu, Yingxin Zhu, Zhuqing Jiang

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Visibility distance estimation in foggy situations and single image dehazing based on transmission computation model.

Jianlei Liu

IET Image Process., 2018

Graph Regularized and Label-matched Dictionary Learning for Video-based Person Re-identification.

Lingchuan Sun, Yun Zhou, Jianlei Liu, Zhuqing Jiang, Zixuan Yang

Proceedings of the IEEE Visual Communications and Image Processing, 2018

A Generic and Highly Scalable Framework for the Automation and Execution of Scientific Data Processing and Simulation Workflows.

Jianlei Liu, Eric Braun, Clemens Düpmeier, Patrick Kuckertz, David Severin Ryberg, Martin Robinius, Detlef Stolten, Veit Hagenmeyer

Proceedings of the IEEE International Conference on Software Architecture, 2018

A generic distributed microservices and container based framework for metaheuristic optimization.

Hatem Khalloof, Wilfried Jakob, Jianlei Liu, Eric Braun, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018