Zobrazeno 1 - 10
of 653
pro vyhledávání: '"Hu Zhiming"'
Publikováno v:
He jishu, Vol 45, Iss 5, Pp 9-17 (2022)
BackgroundBoron Neutron Capture Therapy (BNCT) has been widely recognized around the world as an effective cancer treatment. The accelerator neutron source based on 7Li(p,n) reaction has the advantages of low reaction threshold, high neutron yield, l
Externí odkaz:
https://doaj.org/article/8f1c4ee7aaee4ba3b3f3b5d130926c06
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 and head modelling in XR only explored a single modality or focused on s
Externí odkaz:
http://arxiv.org/abs/2410.16430
Recent work has highlighted the potential of modelling interactive behaviour analogously to natural language. We propose interactive behaviour summarisation as a novel computational task and demonstrate its usefulness for automatically uncovering lat
Externí odkaz:
http://arxiv.org/abs/2410.08356
High-frequency components in eye gaze data contain user-specific information promising for various applications, but existing gaze modelling methods focus on low frequencies of typically not more than 30 Hz. We present DiffEyeSyn -- the first computa
Externí odkaz:
http://arxiv.org/abs/2409.01240
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
Publikováno v:
He jishu, Vol 45, Iss 2, Pp 020201-020201 (2022)
BackgroundA fast neutron image detector developed by Lanzhou University is composed of polyethylene converter, lead glass microchannel plate and charge coupled device (CCD) camera. In order to further improve the spatial resolution of the detector, a
Externí odkaz:
https://doaj.org/article/c49725bf828d4e76ae21fe7f56f76f34
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 many virtual and augmented reality (VR/AR) applications such as collision avoidance and realistic avatar generation. Existing methods have synthesised body motion only from observed past motion, despite the fa
Externí odkaz:
http://arxiv.org/abs/2312.12090