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pro vyhledávání: '"Hu, Zhiming"'
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 bounding boxes. Human motion forecasting is important in many augmented r
Externí odkaz:
http://arxiv.org/abs/2407.02633
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. Generating human gaze on 360{\deg} images is important for vari
Externí odkaz:
http://arxiv.org/abs/2403.17477
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 showing that human eye and body movements are closely coordinated, Ga
Externí odkaz:
http://arxiv.org/abs/2403.09885
Latest gaze estimation methods require large-scale training data but their collection and exchange pose significant privacy risks. We propose PrivatEyes - the first privacy-enhancing training approach for appearance-based gaze estimation based on fed
Externí odkaz:
http://arxiv.org/abs/2402.18970
Human motion prediction is important for virtual reality (VR) applications, e.g., for realistic avatar animation. Existing methods have synthesised body motion only from observed past motion, despite the fact that human gaze is known to correlate str
Externí odkaz:
http://arxiv.org/abs/2312.12090
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 recognition. However, prior works on gaze analysis and prediction hav
Externí odkaz:
http://arxiv.org/abs/2312.12042
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. Interactive behaviour has a sequential (actions happen one after ano
Externí odkaz:
http://arxiv.org/abs/2303.16039
Gaze estimation methods have significantly matured in recent years, but the large number of eye images required to train deep learning models poses significant privacy risks. In addition, the heterogeneous data distribution across different users can
Externí odkaz:
http://arxiv.org/abs/2211.07330
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 2013, the study on AMR-to-Text has become increasingly prevalent as an es
Externí odkaz:
http://arxiv.org/abs/2206.07328
Autor:
Mu, Ying, Zou, Caineng, Hu, Zhiming, Pan, Songqi, Duan, Xianggang, Gao, Yuncong, Tang, Yongbing
Publikováno v:
In International Journal of Hydrogen Energy 12 June 2024 70:79-90