activity
20112023
most citedTransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

4k citations · 16.1k across the 265 of their papers we have counts for

collaborators

271 papers

cs.CV2023★ 2 cited

3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation

Yi Zhang, Pengliang Ji, Angtian Wang +3

Regression-based methods for 3D human pose estimation directly predict the 3D pose parameters from a 2D image using deep networks. While achieving state-of-the-art performance on s…

eess.IV2023★ 2 cited

Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis

Bowen Li, Yu-Cheng Chou, Shuwen Sun +3

Early detection and localization of pancreatic cancer can increase the 5-year survival rate for patients from 8.5% to 20%. Artificial intelligence (AI) can potentially assist radio…

cs.CV2023★ 2 cited

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape

Jiacong Xu, Yi Zhang, Jiawei Peng +17

Accurately estimating the 3D pose and shape is an essential step towards understanding animal behavior, and can potentially benefit many downstream applications, such as wildlife c…

cs.CV2023★ 1 cited

SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation

Yiqing Wang, Zihan Li, Jieru Mei +7

Recent advancements in large-scale Vision Transformers have made significant strides in improving pre-trained models for medical image segmentation. However, these methods face a n…

eess.IV2023

Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

Yixiao Zhang, Xinyi Li, Huimiao Chen +3

The ability to dynamically extend a model to new data and classes is critical for multiple organ and tumor segmentation. However, due to privacy regulations, accessing previous dat…

cs.CV2023★ 1 cited

Generating Images with 3D Annotations Using Diffusion Models

Wufei Ma, Qihao Liu, Jiahao Wang +11

Diffusion models have emerged as a powerful generative method, capable of producing stunning photo-realistic images from natural language descriptions. However, these models lack e…