We present a novel learning method to predict the cloth deformation for
...
Multi-organ segmentation, which identifies and separates different organ...
Whole Slide Image (WSI) classification remains a challenge due to their
...
High resolution (HR) 3D medical image segmentation plays an important ro...
Recently, a variety of vision transformers have been developed as their
...
Recently, convolutional neural networks (CNN) have obtained promising re...
Unsupervised domain adaptation (UDA) aims to learn transferable knowledg...
We present a novel mesh-based learning approach (N-Cloth) for plausible ...
3D Morphable Models (3DMMs) are generative models for face shape and
app...
Though U-Net has achieved tremendous success in medical image segmentati...
Multi-phase computed tomography (CT) images provide crucial complementar...
Many recent works have reconstructed distinctive 3D face shapes by
aggre...
Coronavirus Disease 2019 (COVID-19) has rapidly spread in 2020, emerging...
In this paper, we propose a phase attention residual network (PA-ResSeg)...
We present a novel parallel algorithm for cloth simulation that exploits...
Deep learning techniques have successfully been employed in numerous com...
Recently, a growing interest has been seen in deep learning-based semant...
Multispectral pedestrian detection has attracted increasing attention fr...
Multispectral images of color-thermal pairs have shown more effective th...