We introduce OpenShape, a method for learning multi-modal joint
represen...
Generalizable 3D part segmentation is important but challenging in visio...
A volumetric attention(VA) module for 3D medical image segmentation and
...
Medical images are increasingly used as input to deep neural networks to...
Medical images are often used to detect and characterize pathology and
d...
Segmentation of abdominal computed tomography(CT) provides spatial conte...
Abdominal multi-organ segmentation of computed tomography (CT) images ha...
Tissue window filtering has been widely used in deep learning for comput...
Dynamic contrast enhanced computed tomography (CT) is an imaging techniq...
Human in-the-loop quality assurance (QA) is typically performed after me...
Emotion recognition plays an important role in human-computer interactio...
Recognizing facial action units (AUs) during spontaneous facial displays...
Recognizing facial action units (AUs) from spontaneous facial expression...
It is challenging to recognize facial action unit (AU) from spontaneous
...
Extensive efforts have been devoted to recognizing facial action units (...