activity
20162023
most citedArtificial Intelligence for Social Good

68 citations · 210 across the 30 of their papers we have counts for

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Showing 2018Show all

12 papers · 1 filter

cs.CV2018

Semantic Stereo for Incidental Satellite Images

Marc Bosch, Kevin Foster, Gordon Christie +3

The increasingly common use of incidental satellite images for stereo reconstruction versus rigidly tasked binocular or trinocular coincident collection is helping to enable timely…

cs.RO2018

Evaluating Methods for End-User Creation of Robot Task Plans

Chris Paxton, Felix Jonathan, Andrew Hundt +2

How can we enable users to create effective, perception-driven task plans for collaborative robots? We conducted a 35-person user study with the Behavior Tree-based CoSTAR system t…

cs.RO2018

The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints

Andrew Hundt, Varun Jain, Chia-Hung Lin +2

A robot can now grasp an object more effectively than ever before, but once it has the object what happens next? We show that a mild relaxation of the task and workspace constraint…

cs.CV2018

Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy

Xingtong Liu, Ayushi Sinha, Mathias Unberath +4

We present a self-supervised approach to training convolutional neural networks for dense depth estimation from monocular endoscopy data without a priori modeling of anatomy or sha…

cs.CV2018

Towards automatic initialization of registration algorithms using simulated endoscopy images

Ayushi Sinha, Masaru Ishii, Russell H. Taylor +2

Registering images from different modalities is an active area of research in computer aided medical interventions. Several registration algorithms have been developed, many of whi…

eess.IV2018

Endoscopic navigation in the absence of CT imaging

Ayushi Sinha, Xingtong Liu, Austin Reiter +3

Clinical examinations that involve endoscopic exploration of the nasal cavity and sinuses often do not have a reference image to provide structural context to the clinician. In thi…