110 citations · 140 across the 5 of their papers we have counts for
5 papers
A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects
Leo Pauly, Wassim Rharbaoui, Carl Shneider +3
Estimating the pose of an uncooperative spacecraft is an important computer vision problem for enabling the deployment of automatic vision-based systems in orbit, with applications…
3D-Aware Object Localization using Gaussian Implicit Occupancy Function
Vincent Gaudillière, Leo Pauly, Arunkumar Rathinam +3
To automatically localize a target object in an image is crucial for many computer vision applications. To represent the 2D object, ellipse labels have recently been identified as…
Lessons from a Space Lab -- An Image Acquisition Perspective
Leo Pauly, Michele Lynn Jamrozik, Miguel Ortiz Del Castillo +10
The use of Deep Learning (DL) algorithms has improved the performance of vision-based space applications in recent years. However, generating large amounts of annotated data for tr…
O2A: One-shot Observational learning with Action vectors
Leo Pauly, Wisdom C. Agboh, David C. Hogg +1
We present O2A, a novel method for learning to perform robotic manipulation tasks from a single (one-shot) third-person demonstration video. To our knowledge, it is the first time…
Defining the problem of Observation Learning
Leo Pauly
This article defines and formulates the problem of observation learning in robotic systems.