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 2020Show all

12 papers · 1 filter

cs.CV2020★ 37 cited

CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud

Wu Zheng, Weiliang Tang, Sijin Chen +2

Existing single-stage detectors for locating objects in point clouds often treat object localization and category classification as separate tasks, so the localization accuracy and…

cs.CV2020

On Learning the Right Attention Point for Feature Enhancement

Liqiang Lin, Pengdi Huang, Chi-Wing Fu +3

We present a novel attention-based mechanism to learn enhanced point features for point cloud processing tasks, e.g., classification and segmentation. Unlike prior works, which wer…

cs.CV2020★ 208 cited

DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets

Shujun Wang, Lequan Yu, Kang Li +3

Deep convolutional neural networks have significantly boosted the performance of fundus image segmentation when test datasets have the same distribution as the training datasets. H…

eess.IV2020★ 38 cited

Mononizing Binocular Videos

Wenbo Hu, Menghan Xia, Chi-Wing Fu +1

This paper presents the idea ofmono-nizingbinocular videos and a frame-work to effectively realize it. Mono-nize means we purposely convert abinocular video into a regular monocula…

cs.CV2020★ 14 cited

Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization

Shujun Wang, Lequan Yu, Caizi Li +2

The generalization capability of neural networks across domains is crucial for real-world applications. We argue that a generalized object recognition system should well understand…

cs.CV2020★ 6 cited

TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network

Hao Xu, Ka Hei Hui, Chi-Wing Fu +1

We introduce the first neural optimization framework to solve a classical instance of the tiling problem. Namely, we seek a non-periodic tiling of an arbitrary 2D shape using one o…