The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Deep learning has been widely applied into image inpainting. However, traditional image processing methods (i.e., patch‐based and diffusion‐based methods) generally fail to produce visually natural contents and semantically reasonable structures due to ineffectively processing the high‐level semantic information of images. To solve the problem, we propose a stacked generator networks assisted by patch...
Video based human action has many developments in recent years. Different data sets and algorithms have been evaluated for various approaches. A lot of research work has been published by different authors but still there is need of improvement and amendment. In this article we provide a new algorithm for human body movement which takes in a continuous stream of body poses and performs online action...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.