activity
20192022
most citedSpatial Context-Aware Self-Attention Model For Multi-Organ Segmentation

3 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

Identity-Aware Hand Mesh Estimation and Personalization from RGB Images

Deying Kong, Linguang Zhang, Liangjian Chen +6

Reconstructing 3D hand meshes from monocular RGB images has attracted increasing amount of attention due to its enormous potential applications in the field of AR/VR. Most state-of…

cs.CV20222 cited

PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation

Haoyu Ma, Zhe Wang, Yifei Chen +6

Recently, the vision transformer and its variants have played an increasingly important role in both monocular and multi-view human pose estimation. Considering image patches as to…

cs.CV20212 cited

Recurrent Mask Refinement for Few-Shot Medical Image Segmentation

Hao Tang, Xingwei Liu, Shanlin Sun +2

Although having achieved great success in medical image segmentation, deep convolutional neural networks usually require a large dataset with manual annotations for training and ar…

eess.IV20203 cited

Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation

Hao Tang, Xingwei Liu, Kun Han +6

Multi-organ segmentation is one of most successful applications of deep learning in medical image analysis. Deep convolutional neural nets (CNNs) have shown great promise in achiev…

cs.CV2019

An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction

Hao Tang, Xingwei Liu, Xiaohui Xie

Pulmonary nodule detection using low-dose Computed Tomography (CT) is often the first step in lung disease screening and diagnosis. Recently, algorithms based on deep convolutional…