activity
20192023
most citedConnection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation

36 citations · 38 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

Multi-stage Progressive Reasoning for Dunhuang Murals Inpainting

Wenjie Liu, Baokai Liu, Shiqiang Du +3

Dunhuang murals suffer from fading, breakage, surface brittleness and extensive peeling affected by prolonged environmental erosion. Image inpainting techniques are widely used in…

cs.CV2023

A Cross-direction Task Decoupling Network for Small Logo Detection

Hou, Sujuan, Li +10

Logo detection plays an integral role in many applications. However, handling small logos is still difficult since they occupy too few pixels in the image, which burdens the extrac…

cs.CV2022★ 2 cited

An advanced YOLOv3 method for small object detection

Baokai Liu, Fengjie He, Shiqiang Du +2

Small object detection has important application value in the fields of autonomous driving and drone scene analysis. As one of the most advanced object detection algorithms, YOLOv3…

cs.CV2022

Panoramic Human Activity Recognition

Ruize Han, Haomin Yan, Jiacheng Li +3

To obtain a more comprehensive activity understanding for a crowded scene, in this paper, we propose a new problem of panoramic human activity recognition (PAR), which aims to simu…

eess.IV2021

Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres

Pulkit Khandelwal, Shokufeh Sadaghiani, Michael Tran Duong +30

Ex vivo MRI of the brain provides remarkable advantages over in vivo MRI for visualizing and characterizing detailed neuroanatomy. However, automated cortical segmentation methods…

cs.CV2019★ 36 cited

Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation

Ruirui Li, Mingming Li, Jiacheng Li +1

We develop a connection sensitive attention U-Net(CSAU) for accurate retinal vessel segmentation. This method improves the recent attention U-Net for semantic segmentation with fou…