Video-based human motion transfer creates video animations of humans following a source
motion. Current methods show remarkable results for tightly-clad subjects. However, the lack …

Human activity recognition (HAR) systems combined with machine learning normally serve
users based on a fixed sensor position interface. Variations in the installing position will alter …

Human pose transfer has typically been modeled as a 2D image-to-image translation
problem. This formulation ignores the human body shape prior in 3D space and inevitably …

In this paper, we propose a novel method for the anonymization of sign language footage:
given a source RGB video of a sign language user, we conceal the identity of the original …

Human motion transfer has many applications in human behavior analysis, training data
augmentation, and personalization in mixed reality. We propose a Body-Parts-Aware …

Given a video demonstration, can we imitate the action contained in this video? In this
paper, we introduce a novel task, dubbed mesh-based action imitation. The goal of this task …

Following the conventional pipeline, the training dataset of a human activity recognition
system relies on the detection of the significant signal variation regions. Such position …