20 citations · 27 across the 3 of their papers we have counts for
6 papers
View Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors
Walid Bekhtaoui, Ruhan Sa, Brian Teixeira +4
Point cloud based methods have produced promising results in areas such as 3D object detection in autonomous driving. However, most of the recent point cloud work focuses on single…
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19
Siqi Liu, Bogdan Georgescu, Zhoubing Xu +10
The Coronavirus Disease (COVID-19) has affected 1.8 million people and resulted in more than 110,000 deaths as of April 12, 2020. Several studies have shown that tomographic patter…
Adaloss: Adaptive Loss Function for Landmark Localization
Brian Teixeira, Birgi Tamersoy, Vivek Singh +1
Landmark localization is a challenging problem in computer vision with a multitude of applications. Recent deep learning based methods have shown improved results by regressing lik…
3D Organ Shape Reconstruction from Topogram Images
Elena Balashova, Jiangping Wang, Vivek Singh +3
Automatic delineation and measurement of main organs such as liver is one of the critical steps for assessment of hepatic diseases, planning and postoperative or treatment follow-u…
Structure-Aware Shape Synthesis
Elena Balashova, Vivek Singh, Jiangping Wang +3
We propose a new procedure to guide training of a data-driven shape generative model using a structure-aware loss function. Complex 3D shapes often can be summarized using a coarse…
Generating Synthetic X-ray Images of a Person from the Surface Geometry
Brian Teixeira, Vivek Singh, Terrence Chen +5
We present a novel framework that learns to predict human anatomy from body surface. Specifically, our approach generates a synthetic X-ray image of a person only from the person's…