output
20122025
most citedRoad Extraction by Deep Residual U-Net

3.2k citations

Showing 2020Show all

7 papers · 1 filter

cs.CV2020★ 43 cited

PIE-NET: Parametric Inference of Point Cloud Edges

Xiaogang Wang, Yuelang Xu, Kai Xu +4

We introduce an end-to-end learnable technique to robustly identify feature edges in 3D point cloud data. We represent these edges as a collection of parametric curves (i.e.,lines,…

eess.IV2020★ 314 cited

A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis

Xiaozheng Xie, Jianwei Niu, Xuefeng Liu +3

Although deep learning models like CNNs have achieved great success in medical image analysis, the small size of medical datasets remains a major bottleneck in this area. To addres…

q-bio.NC2020★ 18 cited

Frontoparietal Connectivity Neurofeedback Training for Promotion of Working Memory: An fNIRS Study in Healthy Male Participants

Meiyun Xia, Pengfei Xu, Yuanbin Yang +9

Neurofeedback cognitive training is a promising tool used to promote cognitive functions effectively and efficiently. In this study, we investigated a novel functional near-infrare…

cs.CV2020

Counting dense objects in remote sensing images

Guangshuai Gao, Qingjie Liu, Yunhong Wang

Estimating accurate number of interested objects from a given image is a challenging yet important task. Significant efforts have been made to address this problem and achieve grea…

cs.CV2020★ 2 cited

A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images

Zhengdong Zhang, Shuai Li, Ziyang Wang +1

As Deep Convolutional Neural Networks (DCNNs) have shown robust performance and results in medical image analysis, a number of deep-learning-based tumor detection methods were deve…

cs.GR2020★ 10 cited

Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling

Dongbo Zhang, Xuequan Lu, Hong Qin +1

Point cloud filtering is a fundamental problem in geometry modeling and processing. Despite of significant advancement in recent years, the existing methods still suffer from two i…

cs.CV2020★ 31 cited

Gated Path Selection Network for Semantic Segmentation

Qichuan Geng, Hong Zhang, Xiaojuan Qi +3

Semantic segmentation is a challenging task that needs to handle large scale variations, deformations and different viewpoints. In this paper, we develop a novel network named Gate…