12 citations · 19 across the 16 of their papers we have counts for
5 papers · 1 filter
OmniMotionGPT: Animal Motion Generation with Limited Data
Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan +6
Our paper aims to generate diverse and realistic animal motion sequences from textual descriptions, without a large-scale animal text-motion dataset. While the task of text-driven…
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
Zhangsihao Yang, Mengwei Ren, Kaize Ding +2
Pretraining CNN models (i.e., UNet) through self-supervision has become a powerful approach to facilitate medical image segmentation under low annotation regimes. Recent contrastiv…
Envisioning a Next Generation Extended Reality Conferencing System with Efficient Photorealistic Human Rendering
Chuanyue Shen, Letian Zhang, Zhangsihao Yang +4
Meeting online is becoming the new normal. Creating an immersive experience for online meetings is a necessity towards more diverse and seamless environments. Efficient photorealis…
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes
Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu +2
Convolutional neural networks (CNN) have been broadly studied on images, videos, graphs, and triangular meshes. However, it has seldom been studied on tetrahedral meshes. Given the…
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing
Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu +5
Non-mydriatic retinal color fundus photography (CFP) is widely available due to the advantage of not requiring pupillary dilation, however, is prone to poor quality due to operator…