Predicting where a person is looking is a complex task, requiring to
und...
Gaze behaviors such as eye-contact or shared attention are important mar...
We propose to leverage Transformer architectures for non-autoregressive ...
Humans effortlessly solve pushing tasks in everyday life but unlocking t...
We propose to leverage recent advances in reliable 2D pose estimation wi...
The IEEE Spoken Language Technology Workshop (SLT) 2021 Alpha-mini Speec...
Achieving robust multi-person 2D body landmark localization and pose
est...
Although automatic gaze estimation is very important to a large variety ...
We propose to combine recent Convolutional Neural Networks (CNN) models ...
In the EU-funded MuMMER project, we have developed a social robot design...
As an indicator of human attention gaze is a subtle behavioral cue which...
Non-invasive gaze estimation methods usually regress gaze directions dir...
Collecting labeled data to train deep neural networks is costly and even...
We propose to use neural networks (NNs) for simultaneous detection and
l...
Learning speaker turn embeddings has shown considerable improvement in
s...