activity
20172023
most citedThe Liver Tumor Segmentation Benchmark (LiTS)

1.2k citations · 3.7k across the 70 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 30 cited

Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model

Xiaomeng Li, Lequan Yu, Hao Chen +2

Automatic skin lesion segmentation on dermoscopic images is an essential component in computer-aided diagnosis of melanoma. Recently, many fully supervised deep learning based meth…

cs.CV2018★ 3 cited

EC-Net: an Edge-aware Point set Consolidation Network

Lequan Yu, Xianzhi Li, Chi-Wing Fu +2

Point clouds obtained from 3D scans are typically sparse, irregular, and noisy, and required to be consolidated. In this paper, we present the first deep learning based edge-aware…

cs.CV2018★ 11 cited

Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images

Xiaomeng Li, Lequan Yu, Chi-Wing Fu +1

Automatic lesion segmentation in dermoscopy images is an essential step for computer-aided diagnosis of melanoma. The dermoscopy images exhibits rotational and reflectional symmetr…

cs.CV2018★ 252 cited

Direction-aware Spatial Context Features for Shadow Detection and Removal

Xiaowei Hu, Chi-Wing Fu, Lei Zhu +2

Shadow detection and shadow removal are fundamental and challenging tasks, requiring an understanding of the global image semantics. This paper presents a novel deep neural network…

cs.CV2018★ 73 cited

PU-Net: Point Cloud Upsampling Network

Lequan Yu, Xianzhi Li, Chi-Wing Fu +2

Learning and analyzing 3D point clouds with deep networks is challenging due to the sparseness and irregularity of the data. In this paper, we present a data-driven point cloud ups…