近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
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
京公网安备 11010802027423号