Bangli Liu

According to our database, Bangli Liu authored at least 19 papers between 2016 and 2026.

Collaborative distances:

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

2026

UTriGate-Net : Uncertainty-aware brain tumor segmentation via triaxial context encoding and gated modality fusion.

Tongxue Zhou, Su Ruan, Yanda Meng, Jinming Duan, Haigen Hu, Bingbing Jiang, Zhiwei Ji, Bangli Liu, Tingjin Luo, Baiying Lei

Expert Syst. Appl., 2026

FRMF-Net: Feature rectification and adaptive modality fusion guided multi-modal brain tumor segmentation network.

Tongxue Zhou, Mingyang Li, Su Ruan, Jinming Duan, Yanda Meng, Zhiwei Ji, Bangli Liu, Maël Balluet, Baiying Lei

Expert Syst. Appl., 2026

2025

High-performance inference graph convolutional networks for skeleton-based action recognition.

Junyi Wang, Ziao Li, Bangli Liu, Haibin Cai, Mohamad Saada, Qinggang Meng

Neurocomputing, 2025

2024

Motion synthesis via distilled absorbing discrete diffusion model.

Junyi Wang, Chao Zheng, Bangli Liu, Haibin Cai, Qinggang Meng

Multim. Syst., December, 2024

MGSAN: multimodal graph self-attention network for skeleton-based action recognition.

Junyi Wang, Ziao Li, Bangli Liu, Haibin Cai, Mohamad Saada, Qinggang Meng

Multim. Syst., December, 2024

2023

A Hybrid Scheme for Efficient Deformable Image Registration.

Jinze Huo, Bangli Liu, Qinggang Meng

Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

Explainable Artificial Intelligence and Mobile Health for Treating Eating Disorders in Young Adults with Autism Spectrum Disorder Based on the Theory of Change: A Mixed Method Protocol.

Omobolanle Omisade, Alexander E. Gegov, Shang-Ming Zhou, Alice Good, Catherine Tryfona, Sandeep Singh Sengar, Amie-Louise Prior, Bangli Liu, Taiwo Adedeji, Carrie M. Toptan

Proceedings of the Intelligent Data Engineering and Analytics, 2023

2020

Assembling Convolution Neural Networks for Automatic Viewing Transformation.

Haibin Cai, Lei Jiang, Bangli Liu, Yiqi Deng, Qinggang Meng

IEEE Trans. Ind. Informatics, 2020

Multi-stage adaptive regression for online activity recognition.

Bangli Liu, Haibin Cai, Zhaojie Ju, Honghai Liu

Pattern Recognit., 2020

Effective image super resolution via hierarchical convolutional neural network.

Bangli Liu, Djamel Ait-Boudaoud

Neurocomputing, 2020

2019

RGB-D sensing based human action and interaction analysis: A survey.

Bangli Liu, Haibin Cai, Zhaojie Ju, Honghai Liu

Pattern Recognit., 2019

Magnetic flux leakage image classification method for pipeline weld based on optimized convolution kernel.

Lijian Yang, Zhujun Wang, Songwei Gao, Meng Shi, Bangli Liu

Neurocomputing, 2019

2018

Vision-based human activity analysis.

Bangli Liu

PhD thesis, 2018

A structured multi-feature representation for recognizing human action and interaction.

Bangli Liu, Zhaojie Ju, Honghai Liu

Neurocomputing, 2018

Online Action Recognition based on Skeleton Motion Distribution.

Bangli Liu, Zhaojie Ju, Naoyuki Kubota, Honghai Liu

Proceedings of the British Machine Vision Conference 2018, 2018

Accurate Eye Center Localization via Hierarchical Adaptive Convolution.

Haibin Cai, Bangli Liu, Zhaojie Ju, Serge Thill, Tony Belpaeme, Bram Vanderborght, Honghai Liu

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Visual Focus of Attention Estimation Using Eye Center Localization.

Haibin Cai, Bangli Liu, Jianhua Zhang, Shengyong Chen, Honghai Liu

IEEE Syst. J., 2017

Human-human interaction recognition based on spatial and motion trend feature.

Bangli Liu, Haibin Cai, Xiaofei Ji, Honghai Liu

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Combining 3D joints Moving Trend and Geometry property for human action recognition.

Bangli Liu, Hui Yu, Xiaolong Zhou, Dan Tang, Honghai Liu

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016