most citedProbabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration

5 citations · 5 across the 2 of their papers we have counts for

collaborators

6 papers

cs.GR2019

GrabAR: Occlusion-aware Grabbing Virtual Objects in AR

Xiao Tang, Xiaowei Hu, Chi-Wing Fu +1

Existing augmented reality (AR) applications often ignore occlusion between real hands and virtual objects when incorporating virtual objects in our views. The challenges come from…

eess.IV2019

CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

Xiaomeng Li, Xiaowei Hu, Lequan Yu +3

Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leading causes of permanent blindness in the working-age population. Automatic grading of DR and DME helps ophtha…

cs.CV2019

Instance Shadow Detection

Tianyu Wang, Xiaowei Hu, Qiong Wang +2

Instance shadow detection is a brand new problem, aiming to find shadow instances paired with object instances. To approach it, we first prepare a new dataset called SOBA, named af…

cs.CV20195 cited

Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration

Lihao Liu, Xiaowei Hu, Lei Zhu +1

Brain image registration transforms a pair of images into one system with the matched imaging contents, which is of essential importance for brain image analysis. This paper presen…

cs.CV2019

Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data

Xiaowei Hu, Yitong Jiang, Chi-Wing Fu +1

This paper presents a new method for shadow removal using unpaired data, enabling us to avoid tedious annotations and obtain more diverse training samples. However, directly employ…

cs.CV2019

SAC-Net: Spatial Attenuation Context for Salient Object Detection

Xiaowei Hu, Chi-Wing Fu, Lei Zhu +2

This paper presents a new deep neural network design for salient object detection by maximizing the integration of local and global image context within, around, and beyond the sal…