Professor Christian Desrosiers from The University of Quebec in Canada Came to our College for Guidance and Exchange
From June 15th to June 20th, 2019, Professor Christian Desrosiers from the Department of Software and IT Engineering, University of Quebec, Canada was invited to teach the academic course entitled “Deep Learning in Computer Vision” in the College of Computer Science and Technology, Shandong University of Finance and Economics.
Professor Desrosiers’ course focuses on the basics of deep learning and its specific applications in the field of computational vision. Firstly, supervised learning methods for deep neural network structures are introduced, especially convolutional neural network and recursive neural network. Then he introduces the latest techniques related to generative models, weakly supervised learning and reinforcement learning.
During the lecture, the present teachers and students actively asked Professor Desrosiers questions about deep learning, and the professor gave careful and detailed answers and shared his academic insights and experience in scientific research. The development of this course is conducive for teachers and students to have an in-depth understanding of the current hot issues and key issues in the field of computer vision and deep learning research, creating a strong atmosphere for scientific research in our school.
Christian Desrosiers received his PhD in computer engineering from the Montreal Institute of Technology and is a postdoctoral fellow at the University of Minnesota. In 2009, he joined ETS at the University of Quebec in Canada as a professor in the department of Software and IT Engineering. Professor Desrosiers is co-director of LIVIA’s Artificial Intelligence Laboratory and a member of REPARTI’s research network. His research interests include machine learning, image processing, computer vision, and medical imaging. He has published more than 100 papers and is a member of the Scientific Committee of several important conferences such as the European Conference on Principles and Practices of Machine Learning and Database Knowledge Discovery (EML-PKDD).
Writing: Zhang Yunfeng
Photography is by Liu Xinxin
Editor: Lu Haixia
