activity
20192021
most citedGlobal Guidance Network for Breast Lesion Segmentation in Ultrasound Images

233 citations · 485 across the 8 of their papers we have counts for

collaborators

10 papers

eess.IV2021136 cited

Boundary-aware Transformers for Skin Lesion Segmentation

Jiacheng Wang, Lan Wei, Liansheng Wang +3

Skin lesion segmentation from dermoscopy images is of great importance for improving the quantitative analysis of skin cancer. However, the automatic segmentation of melanoma is a…

cs.CV2021

VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection

Yujun Zhang, Lei Zhu, Wei Feng +5

Lane detection plays a key role in autonomous driving. While car cameras always take streaming videos on the way, current lane detection works mainly focus on individual images (fr…

cs.CV20215 cited

From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

Ye Liu, Lei Zhu, Shunda Pei +5

Single image dehazing is a challenging task, for which the domain shift between synthetic training data and real-world testing images usually leads to degradation of existing metho…

eess.IV2021233 cited

Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images

Cheng Xue, Lei Zhu, Huazhu Fu +4

Automatic breast lesion segmentation in ultrasound helps to diagnose breast cancer, which is one of the dreadful diseases that affect women globally. Segmenting breast regions accu…

cs.CV20212 cited

Triple-cooperative Video Shadow Detection

Zhihao Chen, Liang Wan, Lei Zhu +4

Shadow detection in a single image has received significant research interest in recent years. However, much fewer works have been explored in shadow detection over dynamic scenes.…

cs.CV202132 cited

Deep Texture-Aware Features for Camouflaged Object Detection

Jingjing Ren, Xiaowei Hu, Lei Zhu +5

Camouflaged object detection is a challenging task that aims to identify objects having similar texture to the surroundings. This paper presents to amplify the subtle texture diffe…