Emerging neural reconstruction techniques based on tomography (e.g., NeR...
Supervised Deep-Learning (DL)-based reconstruction algorithms have shown...
Neural Radiance Field (NeRF) has widely received attention in Sparse-Vie...
Parallel imaging is a widely-used technique to accelerate magnetic reson...
Recent years have seen growing interest in 3D human faces modelling due ...
Longitudinal fetal brain atlas is a powerful tool for understanding and
...
Fluorescence microscopy is a key driver to promote discoveries of biomed...
In the present work, we propose a Self-supervised COordinate Projection
...
This paper uses Model Predictive Control (MPC) to optimise the input tor...
Emerging Metaverse applications demand reliable, accurate, and photoreal...
High Resolution (HR) medical images provide rich anatomical structure de...
For collecting high-quality high-resolution (HR) MR image, we propose a ...
Hand modeling is critical for immersive VR/AR, action understanding, or ...
Quantitative susceptibility mapping (QSM) estimates the underlying tissu...
Quantitative susceptibility mapping (QSM) estimates the underlying tissu...
Scene flow describes the motion of 3D objects in real world and potentia...
This paper addresses the problem of continuous gesture recognition from
...