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Mingliang Zhai
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- affiliation: Harbin Engineering University, China
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2020 – today
- 2024
- [j19]Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao:
Scene flow estimation from 3D point clouds based on dual-branch implicit neural representations. IET Comput. Vis. 18(2): 210-223 (2024) - [j18]Mingliang Zhai, Hao Gao, Ye Liu, Jianhui Nie, Kang Ni:
Learning graph-based representations for scene flow estimation. Multim. Tools Appl. 83(3): 7317-7334 (2024) - 2023
- [j17]Jucheng Song, Jixu Wang, Shuliang Zhu, Haidong Hu, Mingliang Zhai, Jiucheng Xie, Hao Gao:
Mixture reality-based assistive system for visually impaired people. Displays 78: 102449 (2023) - [j16]Kang Ni, Mingliang Zhai, Minrui Zou, Qianqian Wu, Peng Wang:
DJSPNet: Deep Joint Statistical-Spatial Pooling Network for High-Resolution SAR Image Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j15]Siyu Wang, Changhui Hu, Weilin Yi, Ziyun Cai, Mingliang Zhai, Wankou Yang:
Flow Learning Based Dual Networks for Low-Light Image Enhancement. Neural Process. Lett. 55(6): 8115-8130 (2023) - [j14]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 J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1900-1913 (2023) - [c9]Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao:
Spike-Based Optical Flow Estimation Via Contrastive Learning. ICASSP 2023: 1-5 - [c8]Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao:
Cross-Modal Optical Flow Estimation via Modality Compensation and Alignment. ICASSP 2023: 1-5 - [c7]Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao:
Learning Scene Flow from 3d Point Clouds with Cross-Transformer and Global Motion Cues. ICASSP 2023: 1-5 - [c6]Mingliang Zhai, Kang Ni, Jiucheng Xie, Xuezhi Xiang, Hao Gao:
Scene Flow Estimation from Point Clouds with Contrastive Loss and Dual Pseudo Labels. ICIP 2023: 186-190 - [c5]Mingliang Zhai, Yulin Li, Xiameng Qin, Chen Yi, Qunyi Xie, Chengquan Zhang, Kun Yao, Yuwei Wu, Yunde Jia:
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding. IJCAI 2023: 5269-5277 - [i1]Mingliang Zhai, Yulin Li, Xiameng Qin, Chen Yi, Qunyi Xie, Chengquan Zhang, Kun Yao, Yuwei Wu, Yunde Jia:
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding. CoRR abs/2305.11392 (2023) - 2022
- [j13]Xuezhi Xiang, Rokia Abdeen, Mingliang Zhai, Ning Lv:
3D Point Convolutional Network for Dense Scene Flow Estimation. Neural Process. Lett. 54(2): 1155-1173 (2022) - [c4]Mingliang Zhai, Chuanhao Li, Chenchen Jing, Yuwei Wu:
Synthesizing Counterfactual Samples for Overcoming Moment Biases in Temporal Video Grounding. PRCV (1) 2022: 436-448 - 2021
- [j12]Mingliang Zhai, Xuezhi Xiang:
Geometry understanding from autonomous driving scenarios based on feature refinement. Neural Comput. Appl. 33(8): 3209-3220 (2021) - [j11]Mingliang Zhai, Xuezhi Xiang, Ning Lv, Xiangdong Kong:
Optical flow and scene flow estimation: A survey. Pattern Recognit. 114: 107861 (2021) - 2020
- [j10]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 Comput. Appl. 32(9): 4675-4688 (2020) - [j9]Xuezhi Xiang, Ning Lv, Mingliang Zhai, Rokia Abdeen, Abdulmotaleb El-Saddik:
Dual-Path Part-Level Method for Visible-Infrared Person Re-identification. Neural Process. Lett. 52(1): 313-328 (2020) - [j8]Mingliang Zhai, Xuezhi Xiang, Rongfang Zhang, Ning Lv, Abdulmotaleb El-Saddik:
Optical Flow Estimation Using Dual Self-Attention Pyramid Networks. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3663-3674 (2020) - [j7]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 Trans. Image Process. 29: 7807-7818 (2020) - [c3]Mingliang Zhai, Xuezhi Xiang, Ning Lv, Abdulmotaleb El-Saddik:
Multi-Task Learning in Autonomous Driving Scenarios Via Adaptive Feature Refinement Networks. ICASSP 2020: 2323-2327
2010 – 2019
- 2019
- [j6]Mingliang Zhai, Xuezhi Xiang, Rongfang Zhang, Ning Lv, Abdulmotaleb El-Saddik:
Learning Optical Flow Using Deep Dilated Residual Networks. IEEE Access 7: 22566-22578 (2019) - [j5]Mingliang Zhai, Xuezhi Xiang, Ning Lv, Syed Masroor Ali, Abdulmotaleb El-Saddik:
SKFlow: Optical Flow Estimation Using Selective Kernel Networks. IEEE Access 7: 98854-98865 (2019) - [j4]Mingliang Zhai, Xuezhi Xiang, Rongfang Zhang, Ning Lv, Abdulmotaleb El-Saddik:
Optical flow estimation using channel attention mechanism and dilated convolutional neural networks. Neurocomputing 368: 124-132 (2019) - [c2]Mingliang Zhai, Xuezhi Xiang, Rongfang Zhang, Ning Lv, Abdulmotaleb El-Saddik:
Ad-net: Attention Guided Network for Optical Flow Estimation Using Dilated Convolution. ICASSP 2019: 2207-2211 - [c1]Xuezhi Xiang, Mingliang Zhai, Rongfang Zhang, Ning Lv, Abdulmotaleb El-Saddik:
Optical Flow Estimation Using Spatial-Channel Combinational Attention-Based Pyramid Networks. ICIP 2019: 1272-1276 - 2018
- [j3]Xuezhi Xiang, Mingliang Zhai, Rongfang Zhang, Wangwang Xu, Abdulmotaleb El-Saddik:
Scene Flow Estimation Based on 3D Local Rigidity Assumption and Depth Map Driven Anisotropic Smoothness. IEEE Access 6: 30012-30023 (2018) - [j2]Xuezhi Xiang, Mingliang Zhai, Rongfang Zhang, Yulong Qiao, Abdulmotaleb El-Saddik:
Deep Optical Flow Supervised Learning With Prior Assumptions. IEEE Access 6: 43222-43232 (2018) - [j1]Xuezhi Xiang, Mingliang Zhai, Ning Lv, Abdulmotaleb El-Saddik:
Vehicle Counting Based on Vehicle Detection and Tracking from Aerial Videos. Sensors 18(8): 2560 (2018)
Coauthor Index
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last updated on 2024-06-10 20:30 CEST by the dblp team
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