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20172022
most citedMonocular Human Pose Estimation: A Survey of Deep Learning-based Methods

447 citations · 915 across the 26 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

eess.IV2019★ 15 cited

Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning

Jingya Liu, Liangliang Cao, Oguz Akin +1

Accurate detection of pulmonary nodules with high sensitivity and specificity is essential for automatic lung cancer diagnosis from CT scans. Although many deep learning-based algo…

eess.IV2019★ 1 cited

3DFPN-HS: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection

Jingya Liu, Liangliang Cao, Oguz Akin +1

Accurate detection of pulmonary nodules with high sensitivity and specificity is essential for automatic lung cancer diagnosis from CT scans. Although many deep learning-based algo…

cs.CV2019★ 19 cited

Recognizing American Sign Language Manual Signs from RGB-D Videos

Longlong Jing, Elahe Vahdani, Matt Huenerfauth +1

In this paper, we propose a 3D Convolutional Neural Network (3DCNN) based multi-stream framework to recognize American Sign Language (ASL) manual signs (consisting of movements of…

cs.CV2019★ 177 cited

Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey

Longlong Jing, Yingli Tian

Large-scale labeled data are generally required to train deep neural networks in order to obtain better performance in visual feature learning from images or videos for computer vi…

cs.RO2019

Design and Control of a Quasi-Direct Drive Soft Exoskeleton for Knee Injury Prevention during Squatting

Shuangyue Yu, Tzu-Hao Huang, Dianpeng Wang +6

This paper presents design and control innovations of wearable robots that tackle two barriers to widespread adoption of powered exoskeletons, namely restriction of human movement…

cs.CV2019★ 7 cited

LGAN: Lung Segmentation in CT Scans Using Generative Adversarial Network

Jiaxing Tan, Longlong Jing, Yumei Huo +2

Lung segmentation in computerized tomography (CT) images is an important procedure in various lung disease diagnosis. Most of the current lung segmentation approaches are performed…