49 citations · 56 across the 6 of their papers we have counts for
6 papers
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions
Penghua Zhai, Enwei Zhu, Baolian Qi +2
Computed tomography (CT) samples with pathological annotations are difficult to obtain. As a result, the computer-aided diagnosis (CAD) algorithms are trained on small datasets (e.…
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning
Xin Wei, Huaiwei Cong, Zheng Zhang +3
Long-term vertebral fractures severely affect the life quality of patients, causing kyphotic, lumbar deformity and even paralysis. Computed tomography (CT) is a common clinical exa…
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Images
Baolian Qi, Gangming Zhao, Xin Wei +4
Locating diseases in chest X-ray images with few careful annotations saves large human effort. Recent works approached this task with innovative weakly-supervised algorithms such a…
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis
Ruixuan Yu, Xin Wei, Federico Tombari +1
In this paper we propose a rotation-invariant deep network for point clouds analysis. Point-based deep networks are commonly designed to recognize roughly aligned 3D shapes based o…
Object-based Illumination Estimation with Rendering-aware Neural Networks
Xin Wei, Guojun Chen, Yue Dong +2
We present a scheme for fast environment light estimation from the RGBD appearance of individual objects and their local image areas. Conventional inverse rendering is too computat…
Minimum Margin Loss for Deep Face Recognition
Xin Wei, Hui Wang, Bryan Scotney +1
Face recognition has achieved great progress owing to the fast development of the deep neural network in the past a few years. As an important part of deep neural networks, a numbe…