In most Computer Vision applications, Deep Learning models achieve state-of-the-art
performances. One drawback of Deep Learning is the large amount of data needed to train …

Sign languages are visual languages, with vocabularies as rich as their spoken language
counterparts. However, current deep-learning based Sign Language Production (SLP) …

To be truly understandable and accepted by Deaf communities, an automatic Sign
Language Production (SLP) system must generate a photo-realistic signer. Prior …

In this work, we propose MagicDance, a diffusion-based model for 2D human motion and
facial expression transfer on challenging human dance videos. Specifically, we aim to …

This paper addresses data augmentation for action segmentation. Our key novelty is that we
augment the original training videos in the deep feature space, not in the visual …

Every hour, huge amounts of visual contents are posted on social media and user-
generated content platforms. To find relevant videos by means of a natural language query …

Virtual try-on tasks have drawn increased attention. Prior arts focus on tackling this task via
warping clothes and fusing the information at the pixel level with the help of semantic …

Unmanned aerial vehicles (UAVs), known as drones, have played a significant role in recent
years in creating resilient smart cities. UAVs can be used for a wide range of applications …

Deepfake technology has been undoubtedly growing at a rapid pace since 2017.
Particularly since using GAN architecture was popularized, research in this area has grown …

Human motion retargeting aims to transfer the motion of one person in a driving video or set
of images to another person. Existing efforts leverage a long training video from each target …