activity
20172026
most citedSINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection

355 citations · 1.8k across the 28 of their papers we have counts for

collaborators
Showing 2019Show all

8 papers · 1 filter

cs.GR2019★ 1 cited

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★ 6 cited

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.CV2019★ 91 cited

Revisiting Shadow Detection: A New Benchmark Dataset for Complex World

Xiaowei Hu, Tianyu Wang, Chi-Wing Fu +3

Shadow detection in general photos is a nontrivial problem, due to the complexity of the real world. Though recent shadow detectors have already achieved remarkable performance on…

cs.CV2019★ 5 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…

eess.IV2019★ 175 cited

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Yi Wang, Haoran Dou, Xiaowei Hu +7

Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential importance for image-guided prostate interventions and treatment planning. However, developi…