Video anomaly detection is an ill-posed problem because it relies on many parameters such
as appearance, pose, camera angle, background, and more. We distill the problem to …

We address the challenging task of human reaction generation, which aims to generate a
corresponding reaction based on an input action. Most of the existing works do not focus on …

We present CycleDance, a dance style transfer system to transform an existing motion clip in
one dance style to a motion clip in another dance style while attempting to preserve motion …

Near-duplicate human motion classification presents significant challenges due to the subtle
differences and high similarity between actions. This paper introduces a posture estimation …

This paper first presents CycleDance, a novel dance style transfer system that transforms an
existing motion clip in one dance style into a motion clip in another dance style while …

Denoising and Completion Filters for Human Motion Software: a Survey with Code Page 1 P
osted on 12 Jun 2024 — CC-BY 4.0 — h ttps://doi.org/10.36227/techrxiv.22956482.v2 — e-Prin …

Deep generative models, such as generative adversarial network (GAN) and variational
autoencoder (VAE), have been utilized extensively for medical image generation. While …

Anthropomorphism of artificial systems is a key enabling factor to ensure effective and
compelling human–machine interactions in different domains, including immersive extended …

While IMU based motion capture offers a cost‐effective alternative to premium camera‐
based systems, it often falls short in matching the latter's realism. Common distortions, such …

We present DAFNet, a novel data‐driven framework capable of generating various actions
for indoor environment interactions. By taking desired root and upper‐body poses as control …