The leading approaches in Machine Learning are notoriously data-hungry. Unfortunately,
many application domains do not have access to big data because acquiring data involves a …

In this paper, we propose an algorithm for fully automatic neural face swapping in images
and videos. To the best of our knowledge, this is the first method capable of rendering photo …

Face alignment is the process of determining a face shape given its location and size in an
image. It is used as a basis for other facial analysis tasks and for human-machine interaction …

With the rapid development of video monitoring, the massive information of the monitoring
image has far exceeded the effective processing range of human resources. Intelligent video …

Both the primate visual system and artificial deep neural network (DNN) models show an
extraordinary ability to simultaneously classify facial expression and identity. However, the …

Recently, multi-task learning (MTL) has been extensively studied for various face processing
tasks, including face detection, landmark localization, pose estimation, and gender …

Occlusions often occur in face images in the wild, troubling face-related tasks such as
landmark detection, 3D reconstruction, and face recognition. It is beneficial to extract face …

Numerous computer vision applications, such as image classification, have benefited from
multi-task learning techniques. However, the relative weighting between each task's loss is …

Multitask learning (MTL) is a promising field in machine learning owing to its capability to
improve the generalization performance of all tasks by sharing knowledge among the …

The recent explosive growth of deep learning is enabling a new generation of intelligent
consumer devices. Specialized deep learning inference now provides data analysis …