Mingliang Zhai

According to our database, Mingliang Zhai authored at least 28 papers between 2018 and 2024.

Collaborative distances:

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

2024

Scene flow estimation from 3D point clouds based on dual-branch implicit neural representations.

Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao

IET Comput. Vis., March, 2024

Learning graph-based representations for scene flow estimation.

Mingliang Zhai, Hao Gao, Ye Liu, Jianhui Nie, Kang Ni

Multim. Tools Appl., January, 2024

2023

Flow Learning Based Dual Networks for Low-Light Image Enhancement.

Siyu Wang, Changhui Hu, Weilin Yi, Ziyun Cai, Mingliang Zhai, Wankou Yang

Neural Process. Lett., December, 2023

Mixture reality-based assistive system for visually impaired people.

Jucheng Song, Jixu Wang, Shuliang Zhu, Haidong Hu, Mingliang Zhai, Jiucheng Xie, Hao Gao

Displays, July, 2023

A Wavelet-Driven Subspace Basis Learning Network for High-Resolution Synthetic Aperture Radar Image Classification.

Kang Ni, Mingliang Zhai, Qianqian Wu, Minrui Zou, Peng Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

DJSPNet: Deep Joint Statistical-Spatial Pooling Network for High-Resolution SAR Image Classification.

Kang Ni, Mingliang Zhai, Minrui Zou, Qianqian Wu, Peng Wang

IEEE Geosci. Remote. Sens. Lett., 2023

Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding.

Mingliang Zhai, Yulin Li, Xiameng Qin, Chen Yi, Qunyi Xie, Chengquan Zhang, Kun Yao, Yuwei Wu, Yunde Jia

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Scene Flow Estimation from Point Clouds with Contrastive Loss and Dual Pseudo Labels.

Mingliang Zhai, Kang Ni, Jiucheng Xie, Xuezhi Xiang, Hao Gao

Proceedings of the IEEE International Conference on Image Processing, 2023

Learning Scene Flow from 3d Point Clouds with Cross-Transformer and Global Motion Cues.

Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao

Proceedings of the IEEE International Conference on Acoustics, 2023

Cross-Modal Optical Flow Estimation via Modality Compensation and Alignment.

Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao

Proceedings of the IEEE International Conference on Acoustics, 2023

Spike-Based Optical Flow Estimation Via Contrastive Learning.

Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

3D Point Convolutional Network for Dense Scene Flow Estimation.

Xuezhi Xiang, Rokia Abdeen, Mingliang Zhai, Ning Lv

Neural Process. Lett., 2022

Synthesizing Counterfactual Samples for Overcoming Moment Biases in Temporal Video Grounding.

Mingliang Zhai, Chuanhao Li, Chenchen Jing, Yuwei Wu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021

Optical flow and scene flow estimation: A survey.

Mingliang Zhai, Xuezhi Xiang, Ning Lv, Xiangdong Kong

Pattern Recognit., 2021

Geometry understanding from autonomous driving scenarios based on feature refinement.

Mingliang Zhai, Xuezhi Xiang

Neural Comput. Appl., 2021

2020

An Object Context Integrated Network for Joint Learning of Depth and Optical Flow.

Mingliang Zhai, Xuezhi Xiang, Ning Lv, Xiangdong Kong, Abdulmotaleb El-Saddik

IEEE Trans. Image Process., 2020

Optical Flow Estimation Using Dual Self-Attention Pyramid Networks.

Mingliang Zhai, Xuezhi Xiang, Rongfang Zhang, Ning Lv, Abdulmotaleb El-Saddik

IEEE Trans. Circuits Syst. Video Technol., 2020

Dual-Path Part-Level Method for Visible-Infrared Person Re-identification.

Xuezhi Xiang, Ning Lv, Mingliang Zhai, Rokia Abdeen, Abdulmotaleb El-Saddik

Neural Process. Lett., 2020

A CNNs-based method for optical flow estimation with prior constraints and stacked U-Nets.

Xuezhi Xiang, Mingliang Zhai, Rongfang Zhang, Yulong Qiao, Abdulmotaleb El-Saddik

Neural Comput. Appl., 2020

Multi-Task Learning in Autonomous Driving Scenarios Via Adaptive Feature Refinement Networks.

Mingliang Zhai, Xuezhi Xiang, Ning Lv, Abdulmotaleb El-Saddik

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Optical flow estimation using channel attention mechanism and dilated convolutional neural networks.

Mingliang Zhai, Xuezhi Xiang, Rongfang Zhang, Ning Lv, Abdulmotaleb El-Saddik

Neurocomputing, 2019

Learning Optical Flow Using Deep Dilated Residual Networks.

Mingliang Zhai, Xuezhi Xiang, Rongfang Zhang, Ning Lv, Abdulmotaleb El-Saddik

IEEE Access, 2019

SKFlow: Optical Flow Estimation Using Selective Kernel Networks.

Mingliang Zhai, Xuezhi Xiang, Ning Lv, Syed Masroor Ali, Abdulmotaleb El-Saddik

IEEE Access, 2019

Optical Flow Estimation Using Spatial-Channel Combinational Attention-Based Pyramid Networks.

Xuezhi Xiang, Mingliang Zhai, Rongfang Zhang, Ning Lv, Abdulmotaleb El-Saddik

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

Ad-net: Attention Guided Network for Optical Flow Estimation Using Dilated Convolution.

Mingliang Zhai, Xuezhi Xiang, Rongfang Zhang, Ning Lv, Abdulmotaleb El-Saddik

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Vehicle Counting Based on Vehicle Detection and Tracking from Aerial Videos.

Xuezhi Xiang, Mingliang Zhai, Ning Lv, Abdulmotaleb El-Saddik

Sensors, 2018

Scene Flow Estimation Based on 3D Local Rigidity Assumption and Depth Map Driven Anisotropic Smoothness.

Xuezhi Xiang, Mingliang Zhai, Rongfang Zhang, Wangwang Xu, Abdulmotaleb El-Saddik

IEEE Access, 2018

Deep Optical Flow Supervised Learning With Prior Assumptions.

Xuezhi Xiang, Mingliang Zhai, Rongfang Zhang, Yulong Qiao, Abdulmotaleb El-Saddik

IEEE Access, 2018