2nd Sensors Webinar
Advances in Deep-Learning-Based Sensing, Imaging, and Video Processing
Dear all,
Thank you for participating in this webinar promoting our Special Issue “Advances in Deep-Learning-Based Sensing, Imaging, and Video Processing” published in the MDPI journal Sensors.
Deep learning techniques are capable of discovering knowledge from massive amounts of unstructured data and providing data-driven solutions. They have significantly improved technical advancements in many areas of research, such as audio-visual signal processing, communication, computer vision, and pattern recognition. In addition, as they continue to improve, deep learning and deep learning techniques are expected to be included in future sensors and visual systems.
Recently, with the rapid development of advanced deep learning models and the increasing demands for effective visual signal processing, new opportunities and cutting-edge research has emerged in deep-learning-based sensing, imaging, and video processing.
Today, I am happy to introduce two experts: Prof. Hanli Wang from Tongji University, whose major research areas are machine learning, intelligent visual analysis, and compression, and Dr. Junhui Hou from City University of Hong Kong, whose major research areas are deep learning and 3D visual signal processing, as well as the emerging hot topics of light field imaging and point cloud. Prof. Wang and Dr. Hou present the two talks in this webinar.
Date: 28 April 2022
Time: 9:00 am CEST | 3:00 am EDT | 3:00 pm CST Asia
Webinar ID: 883 0728 9350
Webinar Secretariat: sensors.webinar@mdpi.com