期刊论文：

  • Li Yin, Yang Liu, Mingtao Pei, Jinrang Li, Laryngoscope8: Laryngeal image dataset and classification of laryngeal disease based on attention mechanism, Pattern Recognition Letters, 150 (2021) 207–213.

  • Min Yang, Mingtao Pei,Yunde Jia, Online maximum a posteriori tracking of multiple objects using sequential trajectory prior, Image and Vision Computing 94 (2020) 58–67.

  • Yanmei Dong,Mingtao Pei,Xiaofeng Liu,Meng Zhao, Scene-Specific Multiple Cues Integration for Multi-Person Tracking, IEEE transactions on Cognitive and Developmental Systems,13(2020) 511-518.

  • Changyong Yu, Chengtang Yao,Mingtao Pei, Yunde Jia，Diffusion-based kernel matrix model for face liveness detection， Image and Vision Computing 89 (2019) 88–94.

  • 董震，裴明涛，基于异构哈希网络的跨模态人脸检索方法，计算机学报，Vol 42， No 1:73-84，2019.01

  • Chenchen J , Zhen D , Mingtao P , et al. Heterogeneous Hashing Network for Face Retrieval across Image and Video Domains. IEEE Transactions on Multimedia, VOL. 21, NO. 3, pp 782-794, 2018.

  • Zhen Dong, Chenchen Jing, Mingtao Pei, Yunde Jia, Deep CNN based Binary Hash Video Representations for Face Retrieval, Pattern Recognition, Vol 81， pp：357–369，2018.

  • Zhao Liu, Yi Xie, Mingtao Pei, Yunde Jia, Tracking Pedestrian with Multi-Component Online Deformable Part-Based Model, JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 32, 47-61 (2016).

  • Zhen Dong, Mingtao Pei, Yunde Jia,  Orthonormal  dictionary learning and its application to face recognition, Image and Vision Computing 51 (2016) 13–21.

  • Wu, Yuwei; Pei, Mingtao; Yang, Min, Robust Discriminative Tracking via Landmark-Based Label Propagation, IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol 24,pp:1510-1523,MAY 2015.

  • Dong, Zhen; Wu, Yuwei; Pei, Mingtao, Vehicle Type Classification Using a Semisupervised Convolutional Neural Network, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Vol16,pp:2247-2256,AUG 2015

  • Yong Duan, Mingtao Pei, Yucheng Wang, Min Yang, Xiameng Qin, Yunde Jia, A Unified Probabilistic Framework for Real-Time Depth Map Fusion, Journal of Information Science and Engineering. Vol 31, pp: 1309-1327, JUL 2015.

  • YANG Min, PEI MingTao, WU YuWei & JIA YunDe, Learning online structural appearance model for robust object tracking, Science China, Vol 58, MAR 2015.

  • Yang He, Mingtao Pei, Min Yang, Yuwei Wu, Yunde Jia, Online visual tracking by integrating spatio-temporal cues, IET Computer Vision, Vol 9,pp: 124-137, FEB 2015

  • Yi Xie,Mingtao Pei,Jiangen Zhang, Meng Meng, Yunde Jia, Tracking Pedestrian with Incrementally Learned representation and classification model, Journal of Information Science and Engineering, Vol 30, Pages 1035-1052, 2014.

  • LIU Cuiwei, PEI Mingtao, Wu Xinxiao, KONG Yu, JIA Yunde, Learning a Discriminative Mid-Level Feature for Action Recognition, Science China, Vol 57, May 2014.

  • Mingtao Pei,Zhangzhang Si, Benjamin Yao, Song-Chun Zhu, Learning and parsing video events with Goal and Intent Prediction, Computer Vision and Image Understanding, Volume 117, Issue 10, Pages 1203-1548, October 2013.

  • Mingtao Pei，Yafei Wang，Meng Zhao，Video Event Recognition by Scene and Group Context，China Communication, Vol 10, No 11, November 2013.

  • Zhang Liuxin, Pei Mingtao, Jia Yunde, Multiview visibility estimation for image-based modeling, Journal of Computer Science and Technology, v26, pp 1000-1010, November 2011.

会议论文：

  • Bin Yan, Mingtao Pei, Clinical-BERT: Vision-Language Pre-Training for Radiograph Diagnosis and Reports Generation, AAAI 2022

  • Chuanqi Zang, Mingtao Pei,YU Kong, Few-shot Human Motion Prediction via Learning Novel Motion Dynamics, IJCAI,2020

  • Huiling Hao, Mingtao Pei, and Meng Zhao, Face Liveness Detection Based on Client Identity Using Siamese Network,PRCV,2019

  • Siyu Li, Mingtao Pei, Vehicle Re-Identification by Deep Feature Fusion Based on Joint Bayesian Criterion, ICPR,2018

  • Qian Zhang, Mingtao Pei, Vehicle Verification Based on Deep Siamese Network with Similarity Metric, PCM,2017

  • Chenchen Jing, Mingtao Pei, Fusing Appearance Features and Correlation Features for Face Video Retrieval, PCM,2017

  • Yanmei Dong, Min Yang, Mingtao Pei, VISUAL TRACKING WITH SPARSE CORRELATION FILTERS,ICIP,2016

  • Yang Wang, Xiaoma Xu, and Mingtao Pei, Driver Face Detection Based on Aggregate Channel Features and Deformable Part-Based Model in Traffic Camera,ICONIP,2016

  • Zhao Liu, Mingtao Pei ,Chi Zhang and Mingda Zhu, Jointly Learning A Multi-class Discriminative Dictionary for Robust Visual Tracking,PCM,2016

  • Zhen Dong, Su Jia, Tianfu Wu, Mingtao Pei, Face Video Retrieval via Deep Learning of Binary Hash Representations, AAAI Conference on Artificial Intelligence, 2016, Phoenix, Arizona USA.

  • Liangying Yin and Mingtao Pei , Non-linear metric learning using metric tensor, ICONIP, 2015

  • Min Yang, Mingtao Pei, Jiajun Shen and Yunde Jia , Robust Online Multi-Object Tracking by Maximum a Posteriori Estimation with Sequential Trajectory Prior, ICONIP,2015

  • Zhen Dong, Mingtao Pei and Yunde Jia , Discriminative Orthonormal Dictionary Learning for Fast Low-rank Representation, ICONIP,2015

  • Dong, Zhen; Pei, Mingtao; He, Yang, Vehicle Type Classification Using Unsupervised Convolutional Neural Network, 22nd International Conference on Pattern Recognition (ICPR), Stockholm, SWEDEN, AUG 24-28, 2014

  • Wu, Yuwei; Pei, Mingtao; Yang, Min, Landmark-Based Inductive Model for Robust Discriminative Tracking, 12th Asian Conference on Computer Vision (ACCV), Singapore,2014

  • Yang, Min; Wu, Yuwei; Pei, Mingtao, Coupling Semi-supervised Learning and Example Selection for Online Object Tracking, 12th Asian Conference on Computer Vision (ACCV), Singapore,2014

  • Mingtao Pei, Zhen Dong, Meng Zhao, Event Recognition by Social Roles in Continuous Video, IEEE International Conference on Multimedia and Expo (ICME), San Jose, 2013 (Oral).

  • Yong Duan, Mingtao Pei and Yucheng Wang, Probabilistic Depth Map Fusion of Kinect and Stereo in Real-Time, ROBIO,2012

  • Yong Duan, Mingtao Pei, Yunde Jia, Probabilistic Depth Map Fusion for Real-Time Multi-View Stereo, ICPR,2012

  • Mingtao Pei,Yunde Jia, Songchun Zhu, Parsing Video Events with Goal inference and Intent Prediction, ICCV,2011

  • Zhangzhang Si, Mingtao Pei, Benjamin Yao, Songchun Zhu, Unsupervised Learning of Event AND-OR Grammar and Semantics from Video. ICCV,2011

发明专利：

  • 裴明涛，贾云得，一种侧面轮廓和人耳相结合的身份识别装置，专利号：ZL 2006 1 0127147.2. 授权时间：2008.08.13.

  • 裴明涛，郭志强，杨敏，王永杰，董震，“一种基于可变形部件模型的车牌及驾驶员人脸定位方法”， 专利号：ZL 2012 1 0352669.8. 授权时间：2014.12.31.

  • 裴明涛，王亚菲，“一种基于像素点可区分度的自然路标及着陆区域确定方法”， 专利号：201210352611.3. 授权时间：2016.04.06.

  • 裴明涛，张博，一种基于立体视觉和行为分析的头戴式预防近视装置，专利号：ZL 2017 1 0126985.6，授权时间：2019.02.22.

  • 杨敏，裴明涛，武玉伟，王永杰，贾云得，“一种智能交通监控系统中的高分辨率视频车辆检测方法”，专利号：ZL 2014 1 0035329.1. 授权时间：2017.06.16.

  • 贾云得，杨敏，裴明涛，一种采用时间动态表观模型的实时在线多目标跟踪方法，专利号：ZL 2015 1 1029753.6. 授权时间：2019.03.05

  • 裴明涛，李佩霖，梁玮，一种基于虚拟现实与手势识别的远程呈现交互方法和系统，专利号：ZL 2016 1 1025123.6 授权时间：2020.04.14

  • 贾云得，沈家峻，许彬，裴明涛，一种可触摸现场实时视频图像的远程呈现交互方法和系统,专利号：ZL 2016 1 0803805.9, 授权时间：2019.06.14

获奖及专著：

  • 高速高精度立体视觉系统技术研究 北京理工大学优秀科技成果奖一等奖 排名第二

  • 高速高精度立体视觉系统技术研究 中国兵器工业集团公司科学技术奖二等奖 排名第二

  • 微型实时立体视觉系统 教育部技术发明奖二等奖 排名第六

  • 裴明涛，赵猛，《视频事件的分析与理解》，北京理工大学出版社，2019年3月第一版，ISBN 978-7-5682-6819-6

 承担科研项目：

  • 国家自然科学基金:视频中场景的表达与推理方法,2020.01---2023.12

  • 国家自然科学基金:视频中事件的内容分析语义与描述,2015.01---2018.12

  • 国家自然科学基金:视频中交互行为的自动分析与理解,2013.01---2015.12

  • 国家973项目子课题: 基于下降图像序列的行星表面地形分析及路标跟踪技术,2014.01---2016.12

  • 国家973项目子课题:行星表面自然路标检测与着陆器位姿估计方法研究,2012.01---2013.12

  • 教育部留学归国人员启动基金:基于环境上下文信息的视频行为分析与理解方法研究,2013.01---2014.12

  • 北京理工大学基础研究基金:基于机器学习的视频事件分析与理解,2011.01---2012.12

北京理工大学
Beijing Institute of TEchnology

Media Computing and Intelligent Systems Lab
媒体计算与智能系统实验室

计算机学院
School of Computer Science