Search Results for author:
Found 8 papers, 4 papers with code
NITEC: Versatile Hand-Annotated Eye Contact Dataset for Ego-Vision Interaction
We tackle this challenge and present NITEC, a hand-annotated eye contact dataset for ego-vision interaction.
Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation
Together with new accumulated training data that provides full head pose rotation data and a geodesic loss approach for stable learning, we design an advanced model that is able to predict an extended range of head orientations.
Ranked #1 on
Head Pose Estimation
on CMU Panoptic + 300W-LP
Automated Deception Detection from Videos: Using End-to-End Learning Based High-Level Features and Classification Approaches
Due to limited training data, we also utilize discriminative models for deception detection.
Sentiment-based Engagement Strategies for intuitive Human-Robot Interaction
Emotion expressions serve as important communicative signals and are crucial cues in intuitive interactions between humans.
Semantic-Aware Environment Perception for Mobile Human-Robot Interaction
Current technological advances open up new opportunities for bringing human-machine interaction to a new level of human-centered cooperation.
An Online Semantic Mapping System for Extending and Enhancing Visual SLAM
This way, we are able generate additional meaningful information that allows to achieve higher-level tasks, while simultaneously leveraging the view-invariance of object detections to improve the accuracy and the robustness of the odometry estimation.
L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments
In this paper, we propose a robust CNN-based model for predicting gaze in unconstrained settings.
Ranked #2 on
Gaze Estimation
on Gaze360
(using extra training data)
6D Rotation Representation For Unconstrained Head Pose Estimation
In this paper, we present a method for unconstrained end-to-end head pose estimation.
Ranked #2 on
Head Pose Estimation
on BIWI
