Mingliang Zhai (翟明亮)

Mingliang Zhai (翟明亮)

Nanjing University of Posts and Telecommunications

I was born in Xining, China, in 1994. I received the B.Eng. degree from Jilin University, China, in 2016. I received the Ph.D. degree from Harbin Engineering University, China, in 2020. Since 2021, I am a lecturer at the School of Automation, Nanjing University of Posts and Telecommunications, China. My research interests include image processing, computer vision, and pattern recognition.

📝 Publications

  • Mingliang Zhai, Xuezhi Xiang, Ning Lv, Xiangdong Kong, Abdulmotaleb El Saddik. An Object Context Integrated Network for Joint Learning of Depth and Optical Flow, IEEE Transactions on Image Processing, 2020
  • Mingliang Zhai, Xuezhi Xiang, Rongfang Zhang, Ning Lv, Abdulmotaleb El Saddik. Optical flow estimation using dual self-attention pyramid networks, IEEE Transactions on Circuits and Systems for Video Technology, 2020
  • Mingliang Zhai, Xuezhi Xiang, Ning Lv, Xiangdong Kong. Optical flow and scene flow estimation: A survey, Pattern Recognition, 2021
  • Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao. Spike-based optical flow estimation via contrastive learning, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
  • Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao. Cross-modal optical flow estimation via modality compensation and alignment, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
  • Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao. Learning scene flow from 3d point clouds with cross-transformer and global motion cues, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
  • Mingliang Zhai, Kang Ni, Jiucheng Xie, Xuezhi Xiang, Hao Gao. Scene Flow Estimation from Point Clouds with Contrastive Loss and Dual Pseudo Labels, IEEE International Conference on Image Processing (ICIP), 2023
  • Mingliang Zhai Xuezhi Xiang, Rongfang Zhang, Ning Lv, Abdulmotaleb El Saddik. Ad-net: Attention guided network for optical flow estimation using dilated convolution, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
  • Mingliang Zhai, Xuezhi Xiang, Ning Lv, Abdulmotaleb El Saddik. Multi-task learning in autonomous driving scenarios via adaptive feature refinement networks, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
  • Mingliang Zhai, Xuezhi Xiang, Rongfang Zhang, Ning Lv, Abdulmotaleb El Saddik. Optical flow estimation using channel attention mechanism and dilated convolutional neural networks, Neurocomputing, 2019
  • Mingliang Zhai, Xuezhi Xiang. Geometry understanding from autonomous driving scenarios based on feature refinement, Neural Computing and Applications, 2020
  • Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao. Scene flow estimation from 3d point clouds based on implicit scene representations, IET Computer Vision, 2023
  • Mingliang Zhai, Hao Gao, Ye Liu, Jianhui Nie, Kang Ni. Learning graph-based representations for scene flow estimation, Multimedia Tools and Applications, 2024
  • Kang Ni, Mingliang Zhai, Qianqian Wu, Minrui Zou, Peng Wang. A wavelet-driven subspace basis learning network for high-resolution synthetic aperture radar image classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Kang Ni, Mingliang Zhai, Minrui Zou, Qianqian Wu, Peng Wang. DJSPNet: Deep Joint Statistical-spatial Pooling Network for High-Resolution SAR Image Classification, IEEE Geoscience and Remote Sensing Letters
  • Xuezhi Xiang, Mingliang Zhai, Rongfang Zhang, Ning Lv, Abdulmotaleb El Saddik. Optical flow estimation using spatial-channel combinational attentionbased pyramid networks, IEEE International Conference on Image Processing (ICIP)
  • Xuezhi Xiang, Mingliang Zhai, Rongfang Zhang, Yulong Qiao, Abdulmotaleb El Saddik. A CNNs-based method for optical flow estimation with prior constraints and stacked U-Nets, Neural Computing and Applications

🎖 Honors and Awards

  • 2022.12 Excellent Doctoral Dissertation from Harbin Engineering University
  • 2019.10 National Scholarship

📖 Educations

  • 2016.09 - 2020.12, Ph.D., Harbin Engineering University, Harbin, China.
  • 2012.09 - 2016.06, B.Eng., Jilin University, Changchun, China.