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 …
Recently, micro-expression recognition (MER) has attracted much attention due to its wide application in various fields such as crime trials and psychotherapy. However, the short duration and subtle movement of facial muscles make it difficult to …
Real-time object detection is a highly practical technical means which has been the focus of research in recent years. While the high requirement of running memory and computing resources hinder the deployment on resource-limited devices. In this …
With the increasing abundance of meeting transcripts, meeting summary has attracted more and more attention from researchers. The unsupervised pre-training method based on transformer structure combined with fine-tuning of downstream tasks has …
Facial expression manipulation has two objectives: 1) generating an image with target expression; 2) preserving the identity information of the original image as much as possible. Recently, Generative Adversarial Networks (GANs) have shown the …
Person re-identification (re-ID) plays an important role in applications such as public security and video surveillance. Recently, learning from synthetic data, which benefits from the popularity of synthetic data engine, has achieved remarkable …