Projects per year
Personal profile
Biography
Jianfei is a Professor at Faculty of IT, Monash University, where he currently serves as the Head for the Data Science & AI Department. Before that, he was a full professor, a cluster deputy director of Data Science & AI Research center (DSAIR), Head of Visual and Interactive Computing Division and Head of Computer Communications Division in Nanyang Technological University (NTU). His major research interests include visual computing, computer vision, and multimedia. He has published more than 200 technical papers in international conferences and journals. He is a co-recipient of paper awards in ACCV, ICCM, IEEE ICIP and MMSP. He has served as an Associate Editor for IEEE T-IP, T-MM, T-CSVT and Visual Computer as well as serving as Area Chair for ICCV, ECCV, ACM Multimedia, ICME and ICIP. He was the Chair of IEEE CAS VSPC-TC during 2016-2018. He had also served as the leading TPC Chair for IEEE ICME 2012 and the best paper award committee co-chair for IEEE T-MM 2019.
(Ad: Positions might be available for top PhD students and visiting students in computer vision and deep learning areas.)
(Personal webpage: https://jianfei-cai.github.io/)
(Google Scholar: https://scholar.google.com/citations?hl=en&user=N6czCoUAAAAJ)
(Current office address: Room 316, 29 Ancora Imparo Way, Clayton VIC 3168)
(For DSAI Department matters, please send email to fit-dsai@monash.edu)
Education/Academic qualification
Electrical Engineering, Doctor of Philosophy, University of Missouri Columbia
Award Date: 19 May 2002
Electrical Engineering, Master of Engineering, Southeast University
Award Date: 24 Apr 1997
Electrical Engineering, Bachelor of Engineering, Nanjing University of Aeronautics and Astronautics
Award Date: 24 Jun 1994
Research area keywords
- visual computing
- computer vision
- vision and language
- 3D imaging and analysis
- deep learning
- Multimedia
Network
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Projects
- 1 Not started
Research Output
Disentangled human body embedding based on deep hierarchical neural network
Jiang, B., Zhang, J., Cai, J. & Zheng, J., 20 Apr 2020, (Accepted/In press) In : IEEE Transactions on Visualization and Computer Graphics. 16 p.Research output: Contribution to journal › Article › Research › peer-review
Large-scale heteroscedastic regression via Gaussian process
Liu, H., Ong, Y-S. & Cai, J., 7 Apr 2020, (Accepted/In press) In : IEEE Transactions on Neural Networks and Learning Systems. 14 p.Research output: Contribution to journal › Article › Research › peer-review
Recovering facial reflectance and geometry from multi-view images
Song, G., Zheng, J., Cai, J. & Cham, T. J., Apr 2020, In : Image and Vision Computing. 96, 11 p., 103897.Research output: Contribution to journal › Article › Research › peer-review
When Gaussian process meets big data: a review of scalable GPs
Liu, H., Ong, Y-S., Shen, X. & Cai, J., 7 Jan 2020, (Accepted/In press) In : IEEE Transactions on Neural Networks and Learning Systems. 19 p.Research output: Contribution to journal › Article › Other › peer-review
3D hand shape and pose estimation from a single RGB image
Ge, L., Ren, Z., Li, Y., Xue, Z., Wang, Y., Cai, J. & Yuan, J., 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. Gupta, A., Hoiem, D., Hua, G. & Tu, Z. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 10833-10842 10 p. 8953612Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access
File
20
Citations
(Scopus)