Engineering Vehicles Detection Based on Modified Faster R-CNN for Power Grid Surveillance. - Xuezhi Xiang; Ning Lv 001; Xinli Guo; Shuai Wang; Abdulmotaleb El-Saddik (Sensors, 2018)

Vehicle Counting Based on Vehicle Detection and Tracking from Aerial Videos. - Xuezhi Xiang; Mingliang Zhai; Ning Lv 001; Abdulmotaleb El-Saddik (Sensors, 2018)

Ad-net: Attention Guided Network for Optical Flow Estimation Using Dilated Convolution. - Mingliang Zhai; Xuezhi Xiang; Rongfang Zhang; Ning Lv 001; Abdulmotaleb El-Saddik (ICASSP, 2019)

Optical Flow Estimation Using Spatial-Channel Combinational Attention-Based Pyramid Networks. - Xuezhi Xiang; Mingliang Zhai; Rongfang Zhang; Ning Lv 001; Abdulmotaleb El-Saddik (ICIP, 2019)

SKFlow: Optical Flow Estimation Using Selective Kernel Networks. - Mingliang Zhai; Xuezhi Xiang; Ning Lv 001; Syed Masroor Ali; Abdulmotaleb El-Saddik (IEEE Access, 2019)

Learning Optical Flow Using Deep Dilated Residual Networks. - Mingliang Zhai; Xuezhi Xiang; Rongfang Zhang; Ning Lv 001; Abdulmotaleb El-Saddik (IEEE Access, 2019)

Optical flow estimation using channel attention mechanism and dilated convolutional neural networks. - Mingliang Zhai; Xuezhi Xiang; Rongfang Zhang; Ning Lv 001; Abdulmotaleb El-Saddik (Neurocomputing, 2019)

Multi-Task Learning in Autonomous Driving Scenarios Via Adaptive Feature Refinement Networks. - Mingliang Zhai; Xuezhi Xiang; Ning Lv 001; Abdulmotaleb El-Saddik (ICASSP, 2020)

Dual-Path Part-Level Method for Visible-Infrared Person Re-identification. - Xuezhi Xiang; Ning Lv 001; Mingliang Zhai; Rokia Abdein; Abdulmotaleb El-Saddik (Neural Process. Lett., 2020)

Attention-Based Generative Adversarial Network for Semi-supervised Image Classification. - Xuezhi Xiang; Zeting Yu; Ning Lv 001; Xiangdong Kong; Abdulmotaleb El-Saddik (Neural Process. Lett., 2020)

Optical Flow Estimation Using Dual Self-Attention Pyramid Networks. - Mingliang Zhai; Xuezhi Xiang; Rongfang Zhang; Ning Lv 001; Abdulmotaleb El-Saddik (IEEE Trans. Circuits Syst. Video Technol., 2020)

An Object Context Integrated Network for Joint Learning of Depth and Optical Flow. - Mingliang Zhai; Xuezhi Xiang; Ning Lv 001; Xiangdong Kong; Abdulmotaleb El-Saddik (IEEE Trans. Image Process., 2020)

Stable and Effective One-Step Method for Person Search. - Ning Lv 001; Xuezhi Xiang; Xinyao Wang; Jie Yang; Rokia Abdein; Abdulmotaleb El-Saddik (ICASSP, 2021)

Self-supervised Monocular Trained Depth Estimation Using Triplet Attention and Funnel Activation. - Xuezhi Xiang; Xiangdong Kong; Yujian Qiu; Kaixu Zhang; Ning Lv 001 (Neural Process. Lett., 2021)

Multi-object Tracking Method Based on Efficient Channel Attention and Switchable Atrous Convolution. - Xuezhi Xiang; Wenkai Ren; Yujian Qiu; Kaixu Zhang; Ning Lv 001 (Neural Process. Lett., 2021)

Optical flow and scene flow estimation: A survey. - Mingliang Zhai; Xuezhi Xiang; Ning Lv 001; Xiangdong Kong (Pattern Recognit., 2021)

Transformer-Based Person Search Model with Symmetric Online Instance Matching. - Xuezhi Xiang; Ning Lv 001; Yulong Qiao (ICASSP, 2022)

Self-Supervised Learning of Optical Flow, Depth, Camera Pose and Rigidity Segmentation with Occlusion Handling. - Rokia Abdein; Xuezhi Xiang; Ning Lv 001 (ICIP, 2022)

Efficient person search via learning-to-normalize deep representation. - Ning Lv 001; Xuezhi Xiang; Xinyao Wang; Jie Yang; Rokia Abdein (Neurocomputing, 2022)

FCDNet: A Change Detection Network Based on Full-Scale Skip Connections and Coordinate Attention. - Xuezhi Xiang; Dashuai Tian; Ning Lv 001; Qiannan Yan (IEEE Geosci. Remote. Sens. Lett., 2022)

Unsupervised optical flow estimation method based on transformer and occlusion compensation. - Xuezhi Xiang; Rokia Abdein; Ning Lv 001 (Neural Comput. Appl., 2022)

3D Point Convolutional Network for Dense Scene Flow Estimation. - Xuezhi Xiang; Rokia Abdein; Mingliang Zhai; Ning Lv 001 (Neural Process. Lett., 2022)

Deformable Cross Attention for Learning Optical Flow. - Rokia Abdein; Xuezhi Xiang; Ning Lv 001; Abdulmotaleb El-Saddik (ICASSP, 2023)

Engineering Vehicles Detection for Warehouse Surveillance System Based on Modified YOLOv4-Tiny. - Xuezhi Xiang; Fanda Meng; Ning Lv 001; Hang Yin (Neural Process. Lett., 2023)

Self-supervised learning of scene flow with occlusion handling through feature masking. - Xuezhi Xiang; Rokia Abdein; Ning Lv 001; Jie Yang (Pattern Recognit., 2023)

Global-aware and local-aware enhancement network for person search. - Ning Lv 001; Xuezhi Xiang; Xinyao Wang; Yulong Qiao; Abdulmotaleb El-Saddik (Comput. Vis. Image Underst., 2023)

InvFlow: Involution and multi-scale interaction for unsupervised learning of optical flow. - Xuezhi Xiang; Rokia Abdein; Ning Lv 001; Abdulmotaleb El-Saddik (Pattern Recognit., 2024)

Learning feature contexts by transformer and CNN hybrid deep network for weakly supervised person search. - Ning Lv 001; Xuezhi Xiang; Xinyao Wang; Yulong Qiao; Abdulmotaleb El-Saddik (Comput. Vis. Image Underst., 2024)