Key Information Expansion Applied in Spoken Document Classification based on Lattice. - Lei Zhang 093; Zhuo Zhang; Xuezhi Xiang (J. Comput., 2011)

Topic Mining based on Word Posterior Probability in Spoken Document. - Lei Zhang 093; Guo-xing Chen; Xuezhi Xiang; Jing-xin Chang (J. Softw., 2011)

Learning semantic kernels for scene classification. - Lei Zhang 093; Xiantong Zhen; Jiqing Han 001; Xuezhi Xiang (ICASSP, 2014)

Dimensionality reduction by supervised locality analysis. - Lei Zhang 093; Peipei Peng; Xuezhi Xiang; Xiantong Zhen (ICIP, 2015)

Scene Flow Estimation: A Survey. - Zike Yan; Xuezhi Xiang (CoRR, 2016)

Towards optimal VLAD for human action recognition from still images. - Lei Zhang 093; Changxi Li; Peipei Peng; Xuezhi Xiang; Jingkuan Song (Image Vis. Comput., 2016)

Realistic human action recognition: When CNNS meet LDS. - Lei Zhang 093; Yangyang Feng; Xuezhi Xiang; Xiantong Zhen (ICASSP, 2017)

Learning discriminant grassmann kernels for image-set classification. - Lei Zhang 093; Wenhui Liu; Xuezhi Xiang; Yan Sun; Xiantong Zhen (ICIP, 2017)

Deep Optical Flow Supervised Learning With Prior Assumptions. - Xuezhi Xiang; Mingliang Zhai; Rongfang Zhang; Yulong Qiao; Abdulmotaleb El-Saddik (IEEE Access, 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)

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)

Effects of Color Systems' Transformation on Optical Flow Estimation of Noisy and Degraded Images. - Syed Tafseer Haider Shah; Xuezhi Xiang (ICAIP, 2019)

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)

Pavement crack detection network based on pyramid structure and attention mechanism. - Xuezhi Xiang; Yuqi Zhang; Abdulmotaleb El-Saddik (IET Image Process., 2020)

Video event classification based on two-stage neural network. - Lei Zhang 093; Xuezhi Xiang (Multim. Tools Appl., 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)

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)

Unsupervised Optical Flow Estimation Based on Improved Feature Pyramid. - Bo Yang; Huan Xie; Hongbin Li; Nuohan Li; Anchang Liu; Zhigang Ren; Kuan Ye; Rong Zhu; Xuezhi Xiang (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)

Graph wavelet transform for image texture classification. - Yu-Long Qiao; Yue Zhao; Chun-Yan Song; Kai-Ge Zhang; Xuezhi Xiang (IET Image Process., 2021)

Geometry understanding from autonomous driving scenarios based on feature refinement. - Mingliang Zhai; Xuezhi Xiang (Neural Comput. Appl., 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)

Transpointflow: Learning Scene Flow from Point Clouds with Transformer. - Rokia Abdein; Xuezhi Xiang; Abdulmotaleb El-Saddik (ICIP, 2023)

Scene Flow Estimation from Point Clouds with Contrastive Loss and Dual Pseudo Labels. - Mingliang Zhai; Kang Ni; Jiucheng Xie; Xuezhi Xiang; Hao Gao 005 (ICIP, 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)

EMHIFormer: An Enhanced Multi-Hypothesis Interaction Transformer for 3D human pose estimation in video. - Xuezhi Xiang; Kaixu Zhang; Yulong Qiao; Abdulmotaleb El-Saddik (J. Vis. Commun. Image Represent., 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)

Self-Supervised Multi-Scale Hierarchical Refinement Method for Joint Learning of Optical Flow and Depth. - Rokia Abdein; Xuezhi Xiang; Yiming Chen; Mingliang Zhai; Abdulmotaleb El-Saddik (ICASSP, 2024)

Deep Optical Flow Learning With Deformable Large-Kernel Cross-Attention. - Xuezhi Xiang; Yiming Chen; Denis Ombati; Lei Zhang 093; Xiantong Zhen (ICIP, 2024)

Self-supervised Monocular Depth Estimation with Large Kernel Attention. - Xuezhi Xiang; Yao Wang; Lei Zhang 093; Denis Ombati; Himaloy Himu; Xiantong Zhen (CoRR, 2024)

LKA-ReID:Vehicle Re-Identification with Large Kernel Attention. - Xuezhi Xiang; Zhushan Ma; Lei Zhang 093; Denis Ombati; Himaloy Himu; Xiantong Zhen (CoRR, 2024)

LKASeg:Remote-Sensing Image Semantic Segmentation with Large Kernel Attention and Full-Scale Skip Connections. - Xuezhi Xiang; Yibo Ning; Lei Zhang 093; Denis Ombati; Himaloy Himu; Xiantong Zhen (CoRR, 2024)

Self-Supervised Scene Flow Estimation with Point-Voxel Fusion and Surface Representation. - Xuezhi Xiang; Xi Wang; Lei Zhang 093; Denis Ombati; Himaloy Himu; Xiantong Zhen (CoRR, 2024)

DBMHT: A double-branch multi-hypothesis transformer for 3D human pose estimation in video. - Xuezhi Xiang; Xiaoheng Li; Weijie Bao; Yulong Qiao; Abdulmotaleb El-Saddik (Comput. Vis. Image Underst., 2024)

A GCN and Transformer complementary network for skeleton-based action recognition. - Xuezhi Xiang; Xiaoheng Li; Xuzhao Liu; Yulong Qiao; Abdulmotaleb El-Saddik (Comput. Vis. Image Underst., 2024)

Self-supervised monocular depth estimation with self-distillation and dense skip connection. - Xuezhi Xiang; Wei Li 109; Yao Wang; Abdulmotaleb El-Saddik (Comput. Vis. Image Underst., 2024)

VIDF-Net: A Voxel-Image Dynamic Fusion method for 3D object detection. - Xuezhi Xiang; Dianang Li; Xi Wang; Xiankun Zhou; Yulong Qiao (Comput. Vis. Image Underst., 2024)

Temporal adaptive feature pyramid network for action detection. - Xuezhi Xiang; Hang Yin; Yulong Qiao; Abdulmotaleb El-Saddik (Comput. Vis. Image Underst., 2024)

3D hand pose estimation and reconstruction based on multi-feature fusion. - Jiye Wang; Xuezhi Xiang; Shuai Ding; Abdulmotaleb El-Saddik (J. Vis. Commun. Image Represent., 2024)

Deep Scene Flow Learning: From 2D Images to 3D Point Clouds. - Xuezhi Xiang; Rokia Abdein; Wei Li 109; Abdulmotaleb El-Saddik (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

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)

GloFP-MSF: monocular scene flow estimation with global feature perception. - Xuezhi Xiang; Yu Cui; Xi Wang; Mingliang Zhai; Abdulmotaleb El-Saddik (Multim. Syst., 2024)

LKA-ReID: Vehicle Re-Identification with Large Kernel Attention. - Xuezhi Xiang; Zhushan Ma; Lei Zhang 093; Denis Ombati; Himaloy Himu; Xiantong Zhen (ICASSP, 2025)

Learning optical flow from spiking camera with direction disassembly. - Mingliang Zhai; Mingming Jiang; Xuezhi Xiang; Kang Ni; Hao Gao 005 (IET Image Process., 2025)

Deep scene flow learning from point cloud with Transformer. - Xuezhi Xiang; Yiming Chen; Rokia Abdein; Lei Zhang 093; Xiantong Zhen (Neurocomputing, 2025)

Vehicle re-identification with large separable kernel attention and hybrid channel attention. - Xuezhi Xiang; Zhushan Ma; Xiaoheng Li; Lei Zhang 093; Xiantong Zhen (Image Vis. Comput., 2025)

Scene flow estimation from point cloud based on grouped relative self-attention. - Xuezhi Xiang; Xiankun Zhou; Yingxin Wei; Xi Wang; Yulong Qiao (Image Vis. Comput., 2025)

Self-supervised monocular depth estimation with large kernel attention and dynamic scene perception. - Xuezhi Xiang; Yao Wang; Xiaoheng Li; Lei Zhang 093; Xiantong Zhen (J. Vis. Commun. Image Represent., 2025)

Multi-object tracking with scale-aware transformer and enhanced association strategy. - Xuezhi Xiang; Xiankun Zhou; Xinyao Wang; Mingliang Zhai; Abdulmotaleb El-Saddik (Multim. Syst., 2025)

DMRFlow: 4D Radar Scene Flow Estimation With Decoupled Matching and Refinement. - Mingliang Zhai; Bing-Kun Bao; Xuezhi Xiang (IEEE Trans. Circuits Syst. Video Technol., 2025)