2020 News


All news of 2020 will be listed here.

Our Deep Condolences

Posted on April 03, 2020

Professor Klette has left us on 3 April 2020 peacefully at home, CeRV is wailing in grief for mourning the founding director. An nzherald website has been opened for noticing public to memorise the intimate friend, supportive colleague, and respected scientific leader.

Professor Klette had over 40 years of academic services at universities in Germany, New Zealand, and China with over 500 publications. As planned, an international symposium on geometry and vision (ISGV 2020) is being organised by CeRV research centre for remembering Professor Klette’s contributions to digital geometry and computer vision. The best paper award of this conference is named as Reinhard Klette Award for encouraging the novelty and creativity of these fields. Professor Klette is a pioneer of computer vision.

Farewell Function for Professor Klette’s Retirement

Posted on February 24, 2020

The EEE department of AUT organises a farewell function for Professor Klette’s retirement at 3pm on 27 February 2020 in the staff room of WZ building to appreciate his contributions and efforts while at AUT. Professor Klette had his 40 years of academic services at universities in Germany and New Zealand. Professor Klette has over 500 publications, he is the founding director of CeRV research centre. Professor Klette’s students and friends have been invited to attend this farewell function. An international symposium on geometry and vision (ISGV 2020) will be organised by CeRV centre on November of this year for celebrating this retirement.

CeRV Offers Postgraduate Paper: Deep Learning

Posted on February 24, 2020

The new semester sees a postgraduate paper: deep learning which is being offered by CeRV centre at the School of Engineering, Computer and Mathematical Sciences. The ten lectures will brief the latest knowledge in deep learning and artificial intelligence (AI) for the new enrolled PG students who will devote to the state-of-the-art technology of machine intelligence. In the AUT new paper, the technology for implementing various deep learning algorithms will be emphasised in practices.