To be widely adopted, 3D facial avatars need to be animated easily,
real...
This work addresses the problem of generating 3D holistic body motions f...
We present a conditional estimation (CEST) framework to learn 3D facial
...
This paper addresses the deep face recognition problem under an open-set...
State-of-the-art deep face recognition methods are mostly trained with a...
This paper presents a generic method for generating full facial 3D anima...
Voice profiling aims at inferring various human parameters from their sp...
We propose a novel framework, called Disjoint Mapping Network (DIMNet), ...
In many retrieval problems, where we must retrieve one or more entries f...
Convolutional neural networks have achieved great improvement on face
re...
Practical face recognition has been studied in the past decades, but sti...
Occlusion in face recognition is a common yet challenging problem. While...
We consider the image classification problem via kernel collaborative
re...