Projects per year
Personal profile
Personal profile
Jimin XIAO is a professor in the department of intelligent science. He received the B.S and M.E degrees in Telecommunication Engineering from Nanjing University of Posts and Telecommunications, Nanjing, China, in 2004, 2007, respectively. He received PhD degree in Electrical Engineering and Electronics from University of Liverpool, UK, in 2013. From Nov. 2013- Nov.2014, he was a senior researcher in the Department of Signal Processing, Tampere University of Technology, Finland, and an external researcher in Nokia Research Center, Tampere, Finland. In Dec.2014, he joined Xian Jiaotong-Liverpool University as a faculty member. His research interests are in the areas of image/video processing, computer vision, deep learning. He has published 100+ papers in prestigious venues, such as TPAMI, IJCV, TIP, TMM, TCSVT, CVPR, ICCV, ECCV, AAAI, IJCAI. In the past years, he has successfully attracted over 7 million research funds from both academia and industry, including NSFC general programme, NSFC key programme and National Key RD program of China. He was awarded “Highly-Demanded Talent of Universities and Institutions in Suzhou” in 2016, Jiangsu 333 Talent in 2022. He is looking for self-motivated PhD student. Feel free to contact him if youd like to do a PhD in computer vision, deep learning and image processing.
Home page: http://jiminxiao.github.io
Experience
Professor, Xian Jiaotong-Liverpool University - 2024 to now
Senior Associate Professor, Xian Jiaotong-Liverpool University - 2021 to 2023
Associate Professor, Xian Jiaotong-Liverpool University - 2018 to 2021
Lecturer, Xian Jiaotong-Liverpool University - 2014 to 2018
Senior Researcher, Tampere University of Technology - 2013 to 2014
Awards and honours
Jiangsu 333 Talent, 2022
Highly-Demanded Talent of Universities and Institutions in Suzhou, 2016
Education/Academic qualification
Ph.D. , University of Liverpool, 2013
M.E, Nanjing University of Posts and Telecommunications, 2007
B.S., Nanjing University of Posts and Telecommunications, 2004
Person Types
- Staff
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Collaborations and top research areas from the last five years
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Research on Screen Video Coding Based on Adaptive Mixed Contents
1/01/24 → 31/12/28
Project: Governmental Research Project
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NSFC major: Research on Screen Video Coding Based on Adaptive Mixed Contents
1/01/24 → 1/12/28
Project: Governmental Research Project
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Suzhou Municipal Key Lab for Intelligent Virtual Engineering
Yue, Y., Liang, H. N., Lim, E. G., Man, K. L., Ma, F., Wang, X., Guan, S., Wang, Q., Xiao, J., Ma, J., Meng, J., Zhang, C., Chen, M., Chen, B., Wang, W., Craig, P., Sun, J., Liu, G., Xia, J., Zhu, X., Yu, L., Zhang, J., Qi, J., Huang, M., Yang, R., Li, S., Dong, Y., Yang, X., Li, Y., Wang, J., Zhang, H., Wei, Z., Sun, Q., Elsheikh, A., Levers, A., Konev, B., Coenen, F., Atkinson, K., Gasieniec, L., Wong, P., Payne, T., Garcia-Fernandez, A. & Zhang, Y.
1/11/22 → 30/10/25
Project: Governmental Research Project
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Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation
Zhang, B., Yu, S., Wei, Y., Zhao, Y. & Xiao, J., 2024, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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IMAGE AUGMENTATION WITH CONTROLLED DIFFUSION FOR WEAKLY-SUPERVISED SEMANTIC SEGMENTATION
Wu, W., Dai, T., Huang, X., Ma, F. & Xiao, J., 2024, 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6175-6179 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Multi-Keys Attention Network for Image Captioning
Yang, Z., Li, H., Ouyang, R., Zhang, Q. & Xiao, J., 2024, In: Cognitive Computation. 16, 3, p. 1061-1072 12 p.Research output: Contribution to journal › Article › peer-review
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Prototype Guided Pseudo Labeling and Perturbation-based Active Learning for domain adaptive semantic segmentation
Peng, J., Sun, M., Lim, E. G., Wang, Q. & Xiao, J., Apr 2024, In: Pattern Recognition. 148, 110203.Research output: Contribution to journal › Article › peer-review