activity
20182021
most citedAffinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation

153 citations · 241 across the 9 of their papers we have counts for

collaborators

15 papers

cs.CV20216 cited

Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning

Chongjian Ge, Youwei Liang, Yibing Song +3

Studies on self-supervised visual representation learning (SSL) improve encoder backbones to discriminate training samples without labels. While CNN encoders via SSL achieve compar…

cs.CV2021

Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition

Zeyu Fu, Jianbo Jiao, Michael Suttie +1

Fetal alcohol syndrome (FAS) caused by prenatal alcohol exposure can result in a series of cranio-facial anomalies, and behavioral and neurocognitive problems. Current diagnosis of…

cs.CV2021153 cited

Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation

Bingfeng Zhang, Jimin Xiao, Jianbo Jiao +2

Weakly supervised semantic segmentation is receiving great attention due to its low human annotation cost. In this paper, we aim to tackle bounding box supervised semantic segmenta…

cs.CV2020

Cross-Task Representation Learning for Anatomical Landmark Detection

Zeyu Fu, Jianbo Jiao, Michael Suttie +1

Recently, there is an increasing demand for automatically detecting anatomical landmarks which provide rich structural information to facilitate subsequent medical image analysis.…

cs.CV202061 cited

Self-supervised Video Representation Learning by Pace Prediction

Jiangliu Wang, Jianbo Jiao, Yun-Hui Liu

This paper addresses the problem of self-supervised video representation learning from a new perspective -- by video pace prediction. It stems from the observation that human visua…

eess.IV20203 cited

Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis

Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou +1

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of the developing brain but is not suitable for second-trimester anomaly screening, for which ultrasound (US) i…