most citedBi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation

85 citations · 94 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20201 cited

Object 6D Pose Estimation with Non-local Attention

Jianhan Mei, Henghui Ding, Xudong Jiang

In this paper, we address the challenging task of estimating 6D object pose from a single RGB image. Motivated by the deep learning based object detection methods, we propose a con…

cs.CV202085 cited

Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation

Xiaohong Wang, Xudong Jiang, Henghui Ding +1

Accurate segmentation of skin lesion from dermoscopic images is a crucial part of computer-aided diagnosis of melanoma. It is challenging due to the fact that dermoscopic images fr…

cs.CV2019

Semantic Correlation Promoted Shape-Variant Context for Segmentation

Henghui Ding, Xudong Jiang, Bing Shuai +2

Context is essential for semantic segmentation. Due to the diverse shapes of objects and their complex layout in various scene images, the spatial scales and shapes of contexts for…

cs.CV2019

Boundary-Aware Feature Propagation for Scene Segmentation

Henghui Ding, Xudong Jiang, Ai Qun Liu +2

In this work, we address the challenging issue of scene segmentation. To increase the feature similarity of the same object while keeping the feature discrimination of different ob…

cs.CV20198 cited

Feature Boosting Network For 3D Pose Estimation

Jun Liu, Henghui Ding, Amir Shahroudy +4

In this paper, a feature boosting network is proposed for estimating 3D hand pose and 3D body pose from a single RGB image. In this method, the features learned by the convolutiona…