14 citations · 14 across the 4 of their papers we have counts for
4 papers
CTSN: Predicting Cloth Deformation for Skeleton-based Characters with a Two-stream Skinning Network
Yudi Li, Min Tang, Yun Yang +5
We present a novel learning method to predict the cloth deformation for skeleton-based characters with a two-stream network. The characters processed in our approach are not limite…
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble
Jiahua Dong, Guohua Cheng, Yue Zhang +5
Multi-organ segmentation, which identifies and separates different organs in medical images, is a fundamental task in medical image analysis. Recently, the immense success of deep…
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation
Huimin Huang, Shiao Xie1, Lanfen Lin +4
Recently, a variety of vision transformers have been developed as their capability of modeling long-range dependency. In current transformer-based backbones for medical image segme…
N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks
Yudi Li, Min Tang, Yun Yang +5
We present a novel mesh-based learning approach (N-Cloth) for plausible 3D cloth deformation prediction. Our approach is general and can handle cloth or obstacles represented by tr…