activity
20182020
most citedView Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors

6 citations · 7 across the 3 of their papers we have counts for

collaborators

6 papers

cs.RO2020

Non-linear Hysteresis Compensation of a Tendon-sheath-driven Robotic Manipulator using Motor Current

Dong-Ho Lee, Young-Ho Kim, Jarrod Collins +3

Tendon-sheath-driven manipulators (TSM) are widely used in minimally invasive surgical systems due to their long, thin shape, flexibility, and compliance making them easily steerab…

cs.RO2020

Towards Automatic Manipulation of Intra-cardiac Echocardiography Catheter

Young-Ho Kim, Jarrod Collins, Zhongyu Li +4

Intra-cardiac Echocardiography (ICE) is a powerful imaging modality for guiding electrophysiology and structural heart interventions. ICE provides real-time observation of anatomy,…

cs.CV20206 cited

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…

cs.CV2019

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…

cs.CV20191 cited

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…

cs.CV2018

Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging

Xiaoxiao Li, Vivek Singh, Yifan Wu +3

Tracking organ motion is important in image-guided interventions, but motion annotations are not always easily available. Thus, we propose Repetitive Motion Estimation Network (RME…