Mingtao PEI
Professor of computer science at BIT
Adjunct Professor of AI at SMBU
Email: peimt@bit.du.cn
裴明濤
北京理工大學(xué)計(jì)算機(jī)學(xué)院教授，博士生導(dǎo)師
深圳北理莫斯科大學(xué)兼職教授
Professor Mingtao PEI received his Bachelor's degree and PhD degree of Computer Science from Beijing Institute of Technology in 1995 and 2004, respectively. From 2009 to 2011, he was a visiting scholar in the department of computer science at the University of California, Los Angeles. He is a member of the China Computer Federation (CCF), a member of the Computer Vision Technical Committee of CCF, a member of the Pervasive Computing Technical Committee of CCF, and a member of the Multimedia Technical Committee of the China Society of Image and Graphics. His research interests include computer vision, pattern recognition, and medical image processing. He has published more than 100 technical papers in international journals such as IEEE TIP, TMM, IEEE TITS, CVIU and top international conferences such as ICCV, CVPR, AAAI, IJCAI, and obtained 10 invention patents.
裴明濤教授于1995年、2004年分別獲北京理工大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)士和博士學(xué)位，2009年至2011年美國(guó)加州大學(xué)洛杉磯分校訪問(wèn)學(xué)者。中國(guó)計(jì)算機(jī)學(xué)會(huì)會(huì)員，中國(guó)計(jì)算機(jī)學(xué)會(huì)計(jì)算機(jī)視覺(jué)專(zhuān)委會(huì)委員，中國(guó)計(jì)算機(jī)學(xué)會(huì)普適計(jì)算專(zhuān)委會(huì)委員，中國(guó)圖象圖形學(xué)會(huì)多媒體專(zhuān)委會(huì)委員。主要研究方向?yàn)橛?jì)算機(jī)視覺(jué)、模式識(shí)別、醫(yī)學(xué)圖像處理。在國(guó)際重要學(xué)術(shù)期刊IEEE TIP，TMM，IEEE TITS，CVIU以及ICCV，CVPR，AAAI，IJCAI等國(guó)際頂級(jí)會(huì)議上發(fā)表學(xué)術(shù)論文100余篇，獲國(guó)家發(fā)明專(zhuān)利10項(xiàng).
Selected papers：
1. Bing Ning, Mingtao Pei, Task and Environment-Aware Virtual Scene Rearrangement for Enhanced Safety in Virtual Reality, IEEE Transactions on Visualization and Computer Graphics, Volume: 30, Issue: 5, May 2024.
2. Mingtao Pei, Bin Yan, Huiling Hao, Meng Zhao, Person-Specific Face Spoofing Detection Based on a Siamese Network. Pattern Recognition. Vol 135, 2023.03.
3. Bin Yan, Mingtao Pei, Meng Zhao, Caifeng Shan, Zhaoxing Tian, Prior Guided Transformer for Accurate Radiology Reports Generation, Journal of Biomedical and Health Informatics(JBHI), 2022 Nov;26(11):5631-5640.
4. Hongyu Shen, Mingtao Pei, Juncai Liu, Zhaoxing Tian, Automatic Radiology Reports Generation via Memory Alignment Network, AAAI Conference on Artificial Intelligence, vol. 38, no. 5, pp. 4776-4783. 2024
5. Chuanqi Zang; Hanqing Wang; Mingtao Pei; Wei Liang; Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering, IEEE Conference on Computer Vision and Pattern Recognition, Vancouver, 2023.06.
6. Bin Yan, Mingtao Pei, Clinical-BERT: Vision-Language Pre-Training for Radiograph Diagnosis and Reports Generation, AAAI Conference on Artificial Intelligence, vol. 36, no. 3, pp. 2982-2990. 2022
7. Chuanqi Zang, Mingtao Pei,YU Kong, Few-shot Human Motion Prediction via Learning Novel Motion Dynamics, International Joint Conferences on Artificial Intelligence, pp. 846-852. 2021
8. Jing Chenchen, Dong Zhen, Pei Mingtao, Jia Yunde. Heterogeneous Hashing Network for Face Retrieval across Image and Video Domains. IEEE Transactions on Multimedia, 2018
9. 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.
10. 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
