ART in Image Reconstruction with Narrow Fan-Beam Based on Data Mining. - Zhong Qu; Junhao Wen 001; Dan Yang 001; Ling Xu; Yu Wu (ADMA, 2005)

The convolution back projection algorithm based on windows function. - Zhong Qu (GrC, 2005)

Algebraic reconstruction technique in image reconstruction with narrow fan-beam. - Zhong Qu; Junhao Wen 001; Dan Yang 001; Yu Wu (GrC, 2005)

A Spatial Clustering Algorithm Based on SOFM. - Zhong Qu; Lian Wang (ADMA, 2006)

Research on Spatial Data Mining Based on Knowledge Discovery. - Zhong Qu; Lian Wang (ICIC (2), 2006)

Research on 3-D Reconstruction With a Series of Cross-Sectional Images. - Lijie Gan; Zhong Qu (ICICIC (1), 2006)

Algebraic Reconstruction Technique in Image Reconstruction Based on Data Mining. - Zhong Qu (Int. J. Data Warehous. Min., 2006)

The Study of Spatial Outliers Detection Based on Knowledge Discovery and Data Mining. - Li Zhang; Zhong Qu (FSKD (1), 2009)

Research on image segmentation based on global optimization search algorithm. - Zhong Qu; Tengfei Gao (FSKD, 2010)

Research on preprocessing of palmprint image based on adaptive threshold and Euclidian distance. - Zhong Qu; Zheng-yong Wang (ICNC, 2010)

An Improved Keyframe Extraction Method Based on HSV Colour Space. - Zhong Qu; Lidan Lin; Tengfei Gao; Yongkun Wang (J. Softw., 2013)

一种方向链码扫描与跟踪的图像细化后期处理算法 (Algorithm of Image Thinning Post-processing Based on Direction Chain Code Scanning and Tracking). - Zhong Qu; Yuping Jiang; Qianyun Wen (计算机科学, 2015)

一种消除图像拼接缝和鬼影的快速拼接算法 (Fast Image Stitching Algorithm Eliminates Seam Line and Ghosting). - Zhong Qu; Gaoyuan Qiao; Sipeng Lin (计算机科学, 2015)

Lining seam elimination algorithm and surface crack detection in concrete tunnel lining. - Zhong Qu; Ling Bai; Shiquan An; Fangrong Ju; Ling Liu (J. Electronic Imaging, 2016)

一种改进的降低扭曲误差的快速图像拼接算法 (Improved Algorithm of Fast Image Stitching by Reducing Panoramic Distortion). - Zhong Qu; Sipeng Lin; Fangrong Ju (计算机科学, 2016)

基于直线段特征单元提取的隧道砼衬砌接缝去除算法 (Lining Seam Elimination Algorithm in Tunnel Concrete Lining Based on Line Feature Unit Extraction). - Shiquan An; Ling Bai; Zhong Qu (计算机科学, 2017)

一种基于改进渗流模型的混凝土表面裂缝快速检测算法 (Algorithm of Accelerated Cracks Detection Based on Improved Percolation Model in Concrete Surface Image). - Zhong Qu; Yang Guo; Fangrong Ju (计算机科学, 2017)

一种用于消除伪影的增强视觉背景提取算法 (Algorithm of Enhanced Visual Background Extraction for Eliminating Ghost). - Zhong Qu; Xiaoling Huang (计算机科学, 2017)

基于改进IGG模型的全景图像拼接缝消除算法 (Algorithm of Eliminating Image Stitching Line Based on Improved IGG Model). - Zhong Qu; Xiuli Li (计算机科学, 2017)

Image seamless stitching and straightening based on the image block. - Zhong Qu; Tengfeng Wang; Shiquan An; Ling Liu (IET Image Process., 2018)

结构森林边缘检测与渗流模型相结合的混凝土表面裂缝检测 (Concrete Surface Cracks Detection Combining Structured Forest Edge Detection and Percolation Model). - Zhong Qu; Fangrong Ju; Siqi Chen (计算机科学, 2018)

一种抗遮挡的自适应尺度目标跟踪算法 (Anti-occlusion Adaptive-scale Object Tracking Algorithm). - Zhong Qu; Congmei Zhao (计算机科学, 2018)

Eliminating Lining Seams in Tunnel Concrete Crack Images via Line Segments' Translation and Expansion. - Zhong Qu; Siqi Chen; Yuqin Liu; Ling Liu (IEEE Access, 2019)

The Algorithm of Concrete Surface Crack Detection Based on the Genetic Programming and Percolation Model. - Zhong Qu; Yu-Xiang Chen; Ling Liu; Yi Xie; Qiang Zhou (IEEE Access, 2019)

Visual Cross-Image Fusion Using Deep Neural Networks for Image Edge Detection. - Zhong Qu; Sheng-Ye Wang; Ling Liu; Dong-Yang Zhou (IEEE Access, 2019)

Algorithm of multiexposure image fusion with detail enhancement and ghosting removal. - Zhong Qu; Xu Huang; Kuo Chen; Ling Liu (J. Electronic Imaging, 2019)

Crack Detection of Concrete Pavement With Cross-Entropy Loss Function and Improved VGG16 Network Model. - Zhong Qu; Jing Mei; Ling Liu; Dong-Yang Zhou (IEEE Access, 2020)

An Unordered Image Stitching Method Based on Binary Tree and Estimated Overlapping Area. - Zhong Qu; Jun Li 070; Kang-Hua Bao; Zhi-Chao Si (IEEE Trans. Image Process., 2020)

Linear Seam Elimination of Tunnel Crack Images Based on Statistical Specific Pixels Ratio and Adaptive Fragmented Segmentation. - Zhong Qu; Si-Qi Chen; Yu-Qin Liu; Ling Liu (IEEE Trans. Intell. Transp. Syst., 2020)

A keypoint-based object detection method with wide dual-path backbone network and attention modules. - Zhong Qu; Run Zhang; Kang-Hua Bao (IET Image Process., 2021)

A method of lining seam elimination with angle adaptation and rectangular mark for road tunnel concrete lining images. - Zhong Qu; Yu-Lu Zhong; Ling Liu (IET Image Process., 2021)

An improved algorithm of multi-exposure image fusion by detail enhancement. - Zhong Qu; Xu Huang; Ling Liu (Multim. Syst., 2021)

A method of cross-layer fusion multi-object detection and recognition based on improved faster R-CNN model in complex traffic environment. - Cui-Jin Li; Zhong Qu; Sheng-Ye Wang; Ling Liu (Pattern Recognit. Lett., 2021)

Mixed pooling and richer attention feature fusion for crack detection. - Qiang Zhou; Zhong Qu; Chong Cao (Pattern Recognit. Lett., 2021)

A method of image stitching with partition matching and direct detection for rotated image. - Zhong Qu; Jun Li; Le-yuan Gao (Displays, 2022)

A method of single-shot target detection with multi-scale feature fusion and feature enhancement. - Zhong Qu; Xue Shang; Shu-Fang Xia; Tu-Ming Yi; Dong-Yang Zhou (IET Image Process., 2022)

A multi-scale learning method with dilated convolutional network for concrete surface cracks detection. - Qiang Zhou; Zhong Qu; Fangrong Ju (IET Image Process., 2022)

An improved YOLOv5 method for large objects detection with multi-scale feature cross-layer fusion network. - Zhong Qu; Le-yuan Gao; Sheng-Ye Wang; Hao-nan Yin; Tu-Ming Yi (Image Vis. Comput., 2022)

Method of convolutional neural network with hybrid attention for crack detection. - Zhong Qu; Shuwei Chen; Yanxin Li (J. Electronic Imaging, 2022)

Method of feature pyramid and attention enhancement network for pavement crack detection. - Zhong Qu; Xiao-Yu Dong (J. Electronic Imaging, 2022)

CrackT-net: a method of convolutional neural network and transformer for crack segmentation. - Zhong Qu; Yanxin Li; Qiang Zhou (J. Electronic Imaging, 2022)

Robust patchmatch HDR image reconstruction for deghosting. - Shu-Fang Xia; Song-tao Guo; Zhong Qu; Yuanyuan Yang 001 (Pattern Recognit. Lett., 2022)

Tunnel Crack Detection With Linear Seam Based on Mixed Attention and Multiscale Feature Fusion. - Qiang Zhou 014; Zhong Qu; Yanxin Li; Fangrong Ju (IEEE Trans. Instrum. Meas., 2022)

A Crack Detection Algorithm for Concrete Pavement Based on Attention Mechanism and Multi-Features Fusion. - Zhong Qu; Wen Chen; Shi-Yan Wang; Tu-Ming Yi; Ling Liu (IEEE Trans. Intell. Transp. Syst., 2022)

A Method of Hierarchical Feature Fusion and Connected Attention Architecture for Pavement Crack Detection. - Zhong Qu; Cai-Yun Wang; Shi-Yan Wang; Fangrong Ju (IEEE Trans. Intell. Transp. Syst., 2022)

A Method of Potentially Promising Network for Crack Detection With Enhanced Convolution and Dynamic Feature Fusion. - Qiang Zhou 014; Zhong Qu; Shi-Yan Wang; Kang-Hua Bao (IEEE Trans. Intell. Transp. Syst., 2022)

A Deeply Supervised Convolutional Neural Network for Pavement Crack Detection With Multiscale Feature Fusion. - Zhong Qu; Chong Cao; Ling Liu; Dong-Yang Zhou (IEEE Trans. Neural Networks Learn. Syst., 2022)

A method of knowledge distillation based on feature fusion and attention mechanism for complex traffic scenes. - Cui-Jin Li; Zhong Qu; Sheng-Ye Wang (Eng. Appl. Artif. Intell., 2023)

BANet: Small and multi-object detection with a bidirectional attention network for traffic scenes. - Sheng-Ye Wang; Zhong Qu; Cui-Jin Li; Le-yuan Gao (Eng. Appl. Artif. Intell., 2023)

A Lightweight Network for Crack Detection With Split Exchange Convolution and Multi-Scale Features Fusion. - Qiang Zhou 014; Zhong Qu; Fangrong Ju (IEEE Trans. Intell. Veh., 2023)

Multiscale anchor box and optimized classification with faster R-CNN for object detection. - Sheng-Ye Wang; Zhong Qu (IET Image Process., 2023)

Gating attention convolutional networks with dense connection for pixel-level crack detection. - Zhong Qu; Lili Wang (Multim. Syst., 2023)

A Dense-Aware Cross-splitNet for Object Detection and Recognition. - Sheng-Ye Wang; Zhong Qu; Cui-Jin Li (IEEE Trans. Circuits Syst. Video Technol., 2023)

PerspectiveNet: An Object Detection Method With Adaptive Perspective Box Network Based on Density-Aware. - Cui-Jin Li; Zhong Qu; Sheng-Ye Wang (IEEE Trans. Intell. Transp. Syst., 2023)

A coarse-to-fine ghost removal scheme for HDR imaging. - Shu-Fang Xia; Song-tao Guo; Zhong Qu; Yuanyuan Yang 001 (Vis. Comput., 2023)

An object detection approach with residual feature fusion and second-order term attention mechanism. - Cuijin Li; Zhong Qu; Shengye Wang (CAAI Trans. Intell. Technol., 2024)

End-to-End Object Detection by Sparse R-CNN With Hybrid Matching in Complex Traffic Scenes. - Xue-juan Han; Zhong Qu; Shi-Yan Wang; Shu-Fang Xia; Sheng-Ye Wang (IEEE Trans. Intell. Veh., 2024)

Multi-Spatial Pyramid Feature and Optimizing Focal Loss Function for Object Detection. - Sheng-Ye Wang; Zhong Qu; Le-yuan Gao (IEEE Trans. Intell. Veh., 2024)

A Lightweight Neural Network Model of Feature Pyramid and Attention Mechanism for Traffic Object Detection. - Le-yuan Gao; Zhong Qu; Shi-Yan Wang; Shu-Fang Xia (IEEE Trans. Intell. Veh., 2024)

A method of hybrid dilated and global convolution networks for pavement crack detection. - Zhong Qu; Ming Li; Bin Yuan; Guoqing Mu (Multim. Syst., 2024)

GHAFNet: Global-context hierarchical attention fusion method for traffic object detection. - Cui-Jin Li; Zhong Qu; Sheng-Ye Wang (Multim. Tools Appl., 2024)

YOLOX-RDD: A Method of Anchor-Free Road Damage Detection for Front-View Images. - Jie Li; Zhong Qu; Shi-Yan Wang; Shu-Fang Xia (IEEE Trans. Intell. Transp. Syst., 2024)

A method of object detection with attention mechanism and C2f_DCNv2 for complex traffic scenes. - Fei Cai; Zhong Qu; Shufang Xia; Shiyan Wang (Expert Syst. Appl., 2025)

A method for noise-suppressed multimodal feature integration in urban scene detection. - Xue-juan Han; Zhong Qu; Shu-Fang Xia (Inf. Process. Manag., 2025)

A method of road damage detection for complex background images based on region guidance network. - Jie Li; Zhong Qu; Shiyan Wang; Shufang Xia (Pattern Recognit., 2025)

A method of hierarchical feature fusion and adaptive receptive field for concrete pavement crack detection. - Zhong Qu; Bin Yuan; Guoqing Mu (Signal Image Video Process., 2025)

A crack detection network with multi-channel attention and enhanced information interaction. - Zhong Qu; Lihui Zhou; Xuehui Yin; Tong Lu (Signal Image Video Process., 2025)

A Directional Connectivity Feature Enhancement Network for Pavement Crack Detection. - Zhong Qu; Jian-Dong Wang; Xuehui Yin (IEEE Trans. Intell. Transp. Syst., 2025)

EMFF-Net: effective multiscale feature fusion network for traffic object detection. - Zhong Qu; Shize Fan; Xuehui Yin (Signal Image Video Process., 2025)

MFDB-Net: Multi-Attention Fusion Dual-Branch Network for Pavement Crack Detection. - Zhong Qu; Tong Lu; Xuehui Yin; Jian-Dong Wang (IEEE Trans. Intell. Transp. Syst., 2025)

DHAF-Net: A dual-branch hybrid attention fusion network for pavement crack detection. - Zhong Qu; Hang Liu; Xuehui Yin (Signal Image Video Process., 2025)