Open-domain dialogue systems have made promising progress in recent years. While the state-of-the-art dialogue agents are built upon large-scale text-based social media data and large pre-trained models, there is no guarantee these agents could also …
Recently, some pioneering works have preferred applying more complex modules to improve segmentation performances. However, it is not friendly for actual clinical environments due to limited computing resources. To address this challenge, we propose …
Facial attribute manipulation has attracted great attention from the public due to its wide range of applications. Aiming to smoothly manipulate the attributes of real facial images, it is critical to search a proper latent code aligns with the …
Scene editing has attracted increasing research interests owing to its valuable applications in the field of photography, entertainment. With style-based GAN being proposed, images can be reasonably edited on specific semantic by manipulating in …
Deep learning-based methods for human pose estimation require large volumes of training data to achieve superior performance. However, data acquisition in classroom environments raises privacy concerns, which will undoubtedly hinder the development …