1 citations · 3 across the 14 of their papers we have counts for
14 papers
HAGI++: Head-Assisted Gaze Imputation and Generation
Chuhan Jiao, Zhiming Hu, Andreas Bulling
Mobile eye-tracking is crucial for capturing human visual attention in real-world and XR settings, supporting research and human-computer interaction. Yet blinks, pupil-detection e…
HOIGaze: Gaze Estimation During Hand-Object Interactions in Extended Reality Exploiting Eye-Hand-Head Coordination
Zhiming Hu, Daniel Haeufle, Syn Schmitt +1
We present HOIGaze - a novel learning-based approach for gaze estimation during hand-object interactions (HOI) in extended reality (XR). HOIGaze addresses the challenging HOI setti…
ChartOptimiser: Task-driven Optimisation of Chart Designs
Yao Wang, Jiarong Pan, Danqing Shi +3
Automated chart design has seen significant advancements with the emergence of Large-Language Models (LLMs), which offer a practical solution for generating charts. However, LLMs f…
SummAct: Uncovering User Intentions Through Interactive Behaviour Summarisation
Guanhua Zhang, Mohamed Ahmed, Zhiming Hu +1
Recent work has highlighted the potential of modelling interactive behaviour analogously to natural language. We propose interactive behaviour summarisation as a novel computationa…
HaHeAE: Learning Generalisable Joint Representations of Human Hand and Head Movements in Extended Reality
Zhiming Hu, Guanhua Zhang, Zheming Yin +3
Human hand and head movements are the most pervasive input modalities in extended reality (XR) and are significant for a wide range of applications. However, prior works on hand an…
DiffEyeSyn: Diffusion-based User-specific Eye Movement Synthesis
Chuhan Jiao, Guanhua Zhang, Yeonjoo Cho +2
High-frequency gaze data contains more user-specific information than low-frequency data, promising for various applications. However, existing gaze modelling methods focus on low-…
HOIMotion: Forecasting Human Motion During Human-Object Interactions Using Egocentric 3D Object Bounding Boxes
Zhiming Hu, Zheming Yin, Daniel Haeufle +2
We present HOIMotion - a novel approach for human motion forecasting during human-object interactions that integrates information about past body poses and egocentric 3D object bou…
DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360° Images
Chuhan Jiao, Yao Wang, Guanhua Zhang +3
We present DiffGaze, a novel method for generating realistic and diverse continuous human gaze sequences on 360° images based on a conditional score-based denoising diffusion model…
GazeMotion: Gaze-guided Human Motion Forecasting
Zhiming Hu, Syn Schmitt, Daniel Haeufle +1
We present GazeMotion, a novel method for human motion forecasting that combines information on past human poses with human eye gaze. Inspired by evidence from behavioural sciences…
PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure Multi-Party Computation
Mayar Elfares, Pascal Reisert, Zhiming Hu +3
Latest gaze estimation methods require large-scale training data but their collection and exchange pose significant privacy risks. We propose PrivatEyes - the first privacy-enhanci…
GazeMoDiff: Gaze-guided Diffusion Model for Stochastic Human Motion Prediction
Haodong Yan, Zhiming Hu, Syn Schmitt +1
Human motion prediction is important for many virtual and augmented reality (VR/AR) applications such as collision avoidance and realistic avatar generation. Existing methods have…
Pose2Gaze: Eye-body Coordination during Daily Activities for Gaze Prediction from Full-body Poses
Zhiming Hu, Jiahui Xu, Syn Schmitt +1
Human eye gaze plays a significant role in many virtual and augmented reality (VR/AR) applications, such as gaze-contingent rendering, gaze-based interaction, or eye-based activity…
Exploring Natural Language Processing Methods for Interactive Behaviour Modelling
Guanhua Zhang, Matteo Bortoletto, Zhiming Hu +3
Analysing and modelling interactive behaviour is an important topic in human-computer interaction (HCI) and a key requirement for the development of intelligent interactive systems…
A Survey : Neural Networks for AMR-to-Text
Hongyu Hao, Guangtong Li, Zhiming Hu +1
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. Since AMR was proposed in 201…