Plenary Lecture

New Algorithms for Computer Vision Improved Applications Based on Deep Learning Machines

Professor Dimitrios A. Karras
Sterea Hellas Institute of Technology
Dept. Automation

Abstract: Deep Learning is a powerful machine learning tool that showed outstanding performance in many fields. Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of big annotated data and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which had been addressed until now with hand-constructed features. Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have fashioned a brand new scenario in signal processing and computer vision problems, such as image classification, object detection or text captioning. One of the greatest successes of Deep Learning has been achieved in large scale object recognition with Convolutional Neural Networks (CNNs). CNNs' main power comes from learning data representations directly from data in a hierarchical layer based structure. In this plenary speech we will present new algorithms as well as the state of the art on how to apply Convolutional Neural Networks as well as other recent improved deep learning strategies in order to solve complex computer vision tasks such as optical flow, scene understanding. In the sequel we will illustrate how to develop state-of-the-art methods and architectures suitable for enhanced performance in such computer vision fields of interest.

Brief Biography of the Speaker: Dimitrios A. Karras received his Diploma and M.Sc. Degree in Electrical and Electronic Engineering from the National Technical University of Athens, Greece in 1985 and the Ph. Degree in Electrical Engineering, from the National Technical University of Athens, Greece in 1995, with honours. From 1990 and up to 2004 he collaborated as visiting professor and researcher with several universities and research institutes in Greece. Since 2004, after his election, he has been with the Sterea Hellas Institute of Technology, Automation Dept., Greece as associate professor in Digital Systems and Signal Processing as well as with the Hellenic Open University, Dept. Informatics as a visiting professor in Communication Systems (the latter since 2002 and up to 2010). He has published more than 65 research refereed journal papers in various areas of pattern recognition, image/signal processing and neural networks as well as in bioinformatics and more than 180 research papers in International refereed scientific Conferences. His research interests span the fields of pattern recognition and neural networks, image and signal processing, image and signal systems, biomedical systems, communications, networking and security. He has served as program committee member in many international conferences, as well as program chair and general chair in several international workshops and conferences in the fields of signal, image, communication and automation systems. He is, also, former editor in chief (2008-2016) of the International Journal in Signal and Imaging Systems Engineering (IJSISE), academic editor in the TWSJ, ISRN Communications and the Applied Mathematics Hindawi journals as well as associate editor in various scientific journals. He has been cited in more than 1700 research papers, his H/G-indices are 18/36 (Google Scholar) and his Erdos number is 5. His RG score is 30.65 ( profile/Dimitrios_Karras2/)

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