12 citations · 20 across the 4 of their papers we have counts for
4 papers
Vision-based system identification and 3D keypoint discovery using dynamics constraints
Miguel Jaques, Martin Asenov, Michael Burke +1
This paper introduces V-SysId, a novel method that enables simultaneous keypoint discovery, 3D system identification, and extrinsic camera calibration from an unlabeled video taken…
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces
Miguel Jaques, Michael Burke, Timothy Hospedales
Learning low-dimensional latent state space dynamics models has been a powerful paradigm for enabling vision-based planning and learning for control. We introduce a latent dynamics…
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
Miguel Jaques, Michael Burke, Timothy Hospedales
We propose a model that is able to perform unsupervised physical parameter estimation of systems from video, where the differential equations governing the scene dynamics are known…
Efficient variational Bayesian neural network ensembles for outlier detection
Nick Pawlowski, Miguel Jaques, Ben Glocker
In this work we perform outlier detection using ensembles of neural networks obtained by variational approximation of the posterior in a Bayesian neural network setting. The variat…