12 citations · 34 across the 12 of their papers we have counts for
5 papers · 1 filter
FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation
Jiashu Xu
Medical image segmentation is a critical aspect of modern medical research and clinical practice. Despite the remarkable performance of Convolutional Neural Networks (CNNs) in this…
Edify 3D: Scalable High-Quality 3D Asset Generation
NVIDIA, :, Maciej Bala +22
We introduce Edify 3D, an advanced solution designed for high-quality 3D asset generation. Our method first synthesizes RGB and surface normal images of the described object at mul…
Med-TTT: Vision Test-Time Training model for Medical Image Segmentation
Jiashu Xu
Medical image segmentation plays a crucial role in clinical diagnosis and treatment planning. Although models based on convolutional neural networks (CNNs) and Transformers have ac…
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation
Yunhao Ge, Yihe Tang, Jiashu Xu +20
The systematic evaluation and understanding of computer vision models under varying conditions require large amounts of data with comprehensive and customized labels, which real-wo…
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation
Jiashu Xu
Automatic medical image segmentation technology has the potential to expedite pathological diagnoses, thereby enhancing the efficiency of patient care. However, medical images ofte…