26 citations · 62 across the 8 of their papers we have counts for
9 papers
Fluid registration between lung CT and stationary chest tomosynthesis images
Lin Tian, Connor Puett, Peirong Liu +4
Registration is widely used in image-guided therapy and image-guided surgery to estimate spatial correspondences between organs of interest between planning and treatment images. H…
End-to-End High Accuracy License Plate Recognition Based on Depthwise Separable Convolution Networks
Song-Ren Wang, Hong-Yang Shih, Zheng-Yi Shen +1
Automatic license plate recognition plays a crucial role in modern transportation systems such as for traffic monitoring and vehicle violation detection. In real-world scenarios, l…
Accurate Point Cloud Registration with Robust Optimal Transport
Zhengyang Shen, Jean Feydy, Peirong Liu +4
This work investigates the use of robust optimal transport (OT) for shape matching. Specifically, we show that recent OT solvers improve both optimization-based and deep learning m…
Inter-intra Variant Dual Representations forSelf-supervised Video Recognition
Lin Zhang, Qi She, Zhengyang Shen +1
Contrastive learning applied to self-supervised representation learning has seen a resurgence in deep models. In this paper, we find that existing contrastive learning based soluti…
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies
Xu Han, Zhengyang Shen, Zhenlin Xu +5
Registration of images with pathologies is challenging due to tissue appearance changes and missing correspondences caused by the pathologies. Moreover, mass effects as observed fo…
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
Zhengyang Shen, Lingshen He, Zhouchen Lin +1
Recent research has shown that incorporating equivariance into neural network architectures is very helpful, and there have been some works investigating the equivariance of networ…