• [1]Zhao Pei, Jiaqing Zhang, Wenwen Zhang, Miao Wang, Jianing Wang and Yee-Hong Yang. "Autofocusing for Synthetic Aperture Imaging Based on Pedestrian Trajectory Prediction," IEEE Transactions on Circuits and Systems for Video Technology, doi:10.1109, 2023.
• [2]Jiaqing Zhang, Zhao Pei, Min Jin, Wenwen Zhang and Jun Li. "Synthetic aperture imaging using multi-view super-resolution," Journal of Electronic Imaging, 32(3):033007, 2023.
• [3]Cuiliu Yang and Zhao Pei. "Long-Short Term Spatio-Temporal Aggregation for Trajectory Prediction," IEEE Transactions on Intelligent Transportation Systems, 24(4):4114, 2023.
• [4]Zhao Pei, Zhiyang Wan, Yanning Zhang, Miao Wang, Chengcai Leng, Yee-Hong Yang. "Multi-scale attention-based pseudo-3D convolution neural network for Alzheimer's disease diagnosis using structural MRI," Pattern Recognition, 108825,2022.
• [5]Yameng Hong, Chengcai Leng, Xinyue Zhang, Zhao Pei, Irene Cheng, and Anup Basu. "HOLBP: Remote sensing image registration based on histogram of oriented local binary pattern descriptor." Remote Sensing, 13(12):2328,2021.
• [6]Zhao Pei, Yuanshuai Gou, Miao Ma, Min Guo, Chengcai Leng, Yuli Chen, and Jun Li. "Alzheimer's disease diagnosis based on long-range dependency mechanism using convolutional neural network. Multimedia Tools and Ap-plications," pages 1–16, 2021.
• [7]Zhao Pei, Min Jin, Yanning Zhang, Miao Ma, and Yee-Hong Yang. "All-in-focus synthetic aperture imaging using generative adversarial network-based semantic in painting." Pattern Recognition, 111:107669, 2021
• [8]Xinyue Zhang, Chengcai Leng, Yameng Hong, Zhao Pei, Irene Cheng, and Anup Basu. "Multimodal remote sensing image registration methods and advancements: A survey." Remote Sensing, 13(24):5128, 2021
• [9]Haipeng Zhang, Chengcai Leng, Xiao Yan, Guorong Cai, Zhao Pei, Naigong Yu, and Anup Basu. "Remote sensing image registration based on local affine constraint with circle descriptor." IEEE Geoscience and Remote Sensing Letters, 19:1–5, 2020.
• [10]Qiongshuai Lyu, Min Guo, Zhao Pei, "DeGAN：Mixed noise removal via generative adversarial networks," Applied Soft Computing,Volume 95, October 2020, (IF=5.472)
• [11]Zhao Pei, Deqiang Wen, Yanning Zhang, Miao Ma, Min Guo,Xiuwei Zhang and Yee-Hong Yang, “MDEAN: Multi-View Disparity Estimation with an Asymmetric Network,” Electronics, Vol.9, No.6, 2020. (IF=2.412)
• [12] Zhao Pei, Xiaoning Qi, Yanning Zhang, Miao Ma and Yee-Hong Yang, “Human trajectory prediction in crowded scene using social-affinity Long Short-Term Memory,” Pattern Recognition (PR), Vol.93, pp.273-282, 2019. (IF=7.740)
• [13]Zhao Pei, Li Huang, Yanning Zhang, Miao Ma, Yali Peng and Yeehong Yang, “Focus Measure for Synthetic Aperture Imaging Using a Deep Convolutional Network,” IEEE Access, Vol.7, No.12, pp2169-3536, 2019. (IF=3.745)
• [14] Zhao Pei, Yawen Li, Miao Ma, Jun Li, Chengcai Leng, Xiaoqiang Zhang and Yanning Zhang, “Occluded-Object 3D Reconstruction Using Camera Array Synthetic Aperture Imaging,” Sensors, Vol.19, No.3, 2019. (IF=3.275)
• [15] Yuqian Kuang, Min Guo, Yali Peng and Zhao Pei, “Learner posture recognition via a fusing model based on improved SILTP and LDP 2019,” Multimedia Tools and Applications, pp.1-14, 2019. (IF=2.313)
• [16] Zhao Pei, Hang Xu, Yanning Zhang, Min Guo and Yee-Hong Yang, “Face Recognition via Deep Learning Using Data Augmentation Based on Orthogonal Experiments,” Electronics, Vol.8, No.10, 2019.(IF=2.412)
• [17] Zhao Pei, Xida Chen and Yee-Hong Yang, “All-in-focus Synthetic Aperture Imaging Using Image Matting,” IEEE Transactions on Circuits and Systems For Video Technology(TCSVT),Vol.28, No.2, pp288-301, 2018. (IF=4.133)
• [18] Zhao Pei, Miaomiao Pan, Kang Liao, Miao Ma and Chengcai Leng, “Predict Student’s Seating Distribution Based on Social Affinity,” In Proceedings of the International Conference on Smart Multimedia, Toulon, France. Aug. 2018.
• [19]Jingcheng Ke, Yali Peng, Shigang Liu, Jun Li and Zhao Pei, “Face recognition based on symmetrical virtual image and original training image,” Journal of Modern Optics, Vol.65, No.4, pp367-380, 2018. (IF=1.544)
• [20]Chengcai Leng, Hai Zhang, Bo Li, Guorong Cai, Zhao Pei and Li He, “Local feature descriptor for image matching: A Survey,”IEEE Access, Vol.7, pp6424-6434, 2018. (IF=3.745)
• [21] Zhao Pei, Haixing Shang, Yi Su, Miao Ma and Yali Peng, “Convolutional Neural Networks for Class Attendance,” In Proceedings of the 13th International Conference on Natural Computation, Fuzzy System and Knowledge Discovery(FSKD 17), Guilin, China. July 2017.
• [22] Zhao Pei, Yanning Zhang, Xida Chen and Yee-Hong Yang, “Synthetic Aperture Imaging Using Pixel Labeling via Energy Minimization,” Pattern Recognition (PR), Vol.46, No.1, pp.174-187, Jan. 2013. (IF=7.740)
• [23] Zhao Pei, Yanning Zhang, Tao Yang, Xiuwei Zhang and Yee-Hong Yang, “A Novel Multi-Object Detection Method in Complex Scene Using Synthetic Aperture Imaging,” Pattern Recognition (PR), Vol.45, No.4, pp.1637–1658, Apr. 2012. (IF=7.740)
• [24] Zhao Pei, Yanning Zhang, Tao Yang, and Xida Chen, “A Novel Method for Detecting Occluded Object by Multiple Camera Arrays,” In Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery(FSKD 12), pp.1692–1696, Chongqing, China, May 2012.
• [25] Zhao Pei, Yanning Zhang, Tao Yang, and Xida Chen, “Synthetic Aperture Image Quality Assessment Based on Camera Array: Measures and Their Performance,” In Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery(FSKD 12), pp.1981–1985, Chongqing, China, May 2012.
• [26] Zhao Pei, Yanning Zhang, Zenggang Lin, Heng Zhou and Hui Wang, “A Method of Image Processing Algorithm Evaluation Based on Orthogonal Experimental Design,” In Proceedings of the Fifth International Conference on Image and Graphics(ICIG 09), pp.629–633, Xian, China, Sept. 2009.

授权发明专利

• [1]裴炤,等.基于非对称深度卷积神经网络的多视角深度预测方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201910998790.X，2022.
• [2]裴炤;田龙伟;汶得强;张艳宁;马苗;汪西莉;陈昱莅;武杰;杨红红. 基于非对称深度卷积神经网络的多视角深度预测方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201910998790.X.
• [3]裴炤;张艳宁;陈希达;马苗;孙莉;张秀伟. 基于相机阵列合成孔径成像的遮挡背景估计方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201610043867.4.
• [4]裴炤;陈希达;马苗;刘侍刚;彭亚丽. 基于自动目标提取的全聚焦合成孔径成像方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201610044313.6.
• [5]裴炤;张艳宁;彭亚丽;马苗;尚海星;苏艺. 基于多人脸数据采集策略和深度学习的课堂考勤方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201610504632.0.
• [6]裴炤;张艳宁;孙莉;马苗;汪西莉;郭敏. 基于双相机阵列的合成孔径目标多视角成像方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201610044284.3.
• [7]马苗;刘琳;武杰;陈昱莅;裴炤. 图像分类卷积神经网络结构的构建方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201710106457.4.
• [8]武杰;张冰云;马苗;裴炤;陈昱莅;杨楷芳. 基于子空间划分的合成孔径雷达影像变化检测方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201710429994.2.
• [9]马苗;朱青青;郑雪;孙莉;裴炤;郭敏. 对人体面部微笑表情深度卷积神经网络的检测方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201610089191.2.
• [10]马苗;陈祖雪;郭敏;陈昱莅;裴炤. 深度信息静态手势分割方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201610187599.3.
• [11]郭敏;孙雪华;马苗;肖冰;赵志博;裴炤. 一种基于玉米粒碰撞声信号多域融合的PSO-SVM优化方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201710491362.9.
• [12]裴炤;张艳宁;沈乐棋;马苗;郭敏. 基于卷积神经网络的合成孔径聚焦成像深度评估方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201810139139.2.
• [13]裴炤;张艳宁;齐晓宁;马苗;汪西莉;徐航. 基于社会亲和力长短期记忆网络模型的拥挤场景行人轨迹预测方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201810294015.1.
• [14]裴炤;沈乐棋;张艳宁;马苗;郭敏. 基于像素标记和合成孔径成像的遮挡目标三维重建方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201810139192.2.
• [15]裴炤;潘苗苗;马苗;彭亚丽;郭敏. 基于学生社交关系模型的课堂座位分布预测方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201710898390.2.
• [16] 裴炤;廖康;张艳宁;马苗;郭敏. 基于中心投影的学生课堂社交网络自动构建方法. 中国，中华人民共和国国家知识产权局，发明专利，专利授权号：ZL201710303995.2.

受理发明专利

• [1]裴炤;金敏;张艳宁;马苗;郭敏;武杰;杨红红. 基于语义修补的合成孔径成像方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN202010277511.3.
• [2]裴炤;黄丽;张艳宁;马苗;郭敏;李峻;武杰;陈昱莅. 基于人脸关键点引导式生成对抗网络的人脸修复方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN202010261441.2.
• [3]裴炤;田龙伟;张艳宁;马苗;邱文涛;武杰;陈昱莅. 一种基于场景约束GAN的行人轨迹预测方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN202010184875.7.
• [4]郭敏;付传广;裴炤. 一种基于深度学习的损伤玉米颗粒检测和分类方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN202010065688.7.
• [5]裴炤;彭其阳;张艳宁;马苗;陈昱莅;孙莉;武杰;杨楷芳. 基于AP聚类的班级社交群体检测方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN201910561590.8.
• [6]马苗;陶丽丽;裴炤;高子昂. 改进的SSD双网络的考场考生位置快速检测方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN201910534569.9.
• [7]郭敏;邝毓茜;马苗;裴炤;陈昱莅. 融合改进的SILTP和局部方向模式的学习者姿态识别方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN201811649123.2.
• [8]彭亚丽;吕梦鸽;王蒙;吴晓军;裴炤. 基于协同表示和池化及融合的人脸识别分类方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN201811650923.6.
• [9]郭敏;郑平;马苗;裴炤. 表面肌电信号手势识别方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN201810552616.8.
• [10]郭敏;丁晓;马苗;陈昱莅;裴炤. 基于深度学习的图像语义分割方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN201811646148.7.
• [11]裴炤;徐航;马苗;彭亚丽;武杰. 基于正交实验分析的深度学习人脸图像扩充方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN201810346925.X.
• [12]郭敏;吕琼帅;彭亚丽;裴炤;肖冰. 基于噪声学习神经网络模型的图像混合噪声消除方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN201811649125.1.
• [13]郭敏;张洁庆;彭亚丽;肖冰;裴炤. 基于深度学习的图像描述方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN201811646150.4.
• [14]杨红红;吴晓军;张玉梅;李菁菁;裴炤.一种基于KCF轨迹置信度的多目标跟踪方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN201911002819.0.
• [15]黄笑笑;武杰;马苗;刘明;裴炤;陈昱莅;杨楷芳.基于迭代贝叶斯的合成孔径雷达影像变化检测方法. 中国，中华人民共和国国家知识产权局，发明专利，专利受理号：CN201811649117.7.