CMVS has succeeded well in the latest funding decisions made by the Academy of Finland.
The Annual Reports of CMVS's Machine Vision Group (MVG) is now available as a part of the Infotech Oulu Annual Report.
Kaleva, the local newspaper in Oulu Region has published an article on reading subtle information from human faces.
Matti Matilainen defended his doctoral study titled “Embedded computer vision methods for human activity recognition” on 8 September, 2017.
The Center for Machine Vision and Signal Analysis (CMVS) at the University of Oulu (http://www.oulu.fi/cmvs) is inviting applications for
Guoying Zhao and Matti Pietikäinen are considered as Finland's most publishing researchers on AI in 2015-16
According to Digibarometri 2017 report (see pages 26 and 28) published in Jun. 15 http://www.digibarometri.fi/, Assoc. Prof.
Tekes has granted funding to a project set up by a consortium including University of Helsinki, University of Oulu and Aalto University, for studying
Open positions for doctoral student or postdoctoral researcher in machine vision (complementary call)
This is a complementary call inviting applications to the topics of 1) distributed learning/multi-modal learning, 2) computer vision for augmented/virtual reality only.
MVG 35 year anniversary 16.12.2016
The Center for Machine Vision and Signal Analysis (CMVS) at the University of Oulu, Finland, is inviting applications for positions:
Key project funding by the Finnish Academy is targeted especially to the early-career researchers whose projects have been highly rated in previously organised peer reviews.
Two international workshops are organized by CMVS researchers in conjunction with ACCV 2016. Dr. Ziheng Zhou and Assoc. Prof. Guoying Zhao from CMVS, together with Assoc. Prof.
Postdoctoral Research Fellow Jukka Komulainen and his co-authors from the research unit Center for Machine Vision and Signal Analysis (CMVS) have been awarded the Five Year Highest Impact Award at BTAS2016 conference.
Academy of Finland funding to Janne Heikkilä to develop computer vision methods for application of computer-mediated reality
Prof. Janne Heikkilä has received four year research funding for project titled “3D vision based methods for computer-mediated reality”.
Novel Imaging and Characterisation Methods in Bio, Medical and Environmental Research and Technology Innovations (I4Future) is a new international doctora
Adj. Prof. Abdenour Hadid has received follow-on funding for research costs related to his Academy Research Fellow project titled “Texture Based Techniques for Robust Face Biometrics”.
The Annual Reports of CMVS's Machine Vision and Biomedical Engineering
The kick-off meeting of Fidipro Fellow project - Facial Behaviour Analysis “in-the-wild” (WildFace) - was held in Jan. 2016.
Tekes – the Finnish Funding Agency for Innovation has granted us two FiDiPro projects.
Our recent results in automatic analysis of hidden facial expressions have been
According to Web of Science, CMVS excels in producing highly-cited papers, which is a commonly used measure for breakthrough research.