Search Results for author:
Found 7 papers, 1 papers with code
DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360° Images
We present DiffGaze, a novel method for generating realistic and diverse continuous human gaze sequences on 360{\deg} images based on a conditional score-based denoising diffusion model.
GazeMotion: Gaze-guided Human Motion Forecasting
We present GazeMotion, a novel method for human motion forecasting that combines information on past human poses with human eye gaze.
PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure Multi-Party Computation
Latest gaze estimation methods require large-scale training data but their collection and exchange pose significant privacy risks.
GazeMoDiff: Gaze-guided Diffusion Model for Stochastic Human Motion Prediction
Human motion prediction is important for virtual reality (VR) applications, e. g., for realistic avatar animation.
Pose2Gaze: Generating Realistic Human Gaze Behaviour from Full-body Poses using an Eye-body Coordination Model
While generating realistic body movements, e. g., for avatars in virtual reality, is widely studied in computer vision and graphics, the generation of eye movements that exhibit realistic coordination with the body remains under-explored.
A Survey : Neural Networks for AMR-to-Text
AMR-to-text is one of the key techniques in the NLP community that aims at generating sentences from the Abstract Meaning Representation (AMR) graphs.
AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning
We introduce an RL-based framework for learning to accomplish tasks in mobile apps.
