Christine Allen-Blanchette | DeepAI

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Featured Co-authors

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∙ 08/24/2023

Learning to predict 3D rotational dynamics from images of a rigid body with unknown mass distribution

In many real-world settings, image observations of freely rotating 3D ri...

0 Justice Mason, et al. ∙

∙ 08/22/2023

Hamiltonian GAN

A growing body of work leverages the Hamiltonian formalism as an inducti...

0 Christine Allen-Blanchette, et al. ∙

∙ 09/23/2022

Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body

In many real-world settings, image observations of freely rotating 3D ri...

6 Justice Mason, et al. ∙

∙ 12/05/2020

Joint Estimation of Image Representations and their Lie Invariants

Images encode both the state of the world and its content. The former is...

0 Christine Allen-Blanchette, et al. ∙

∙ 10/24/2020

LagNetViP: A Lagrangian Neural Network for Video Prediction

The dominant paradigms for video prediction rely on opaque transition mo...

9 Christine Allen-Blanchette, et al. ∙

∙ 04/01/2019

Equivariant Multi-View Networks

Several approaches to 3D vision tasks process multiple views of the inpu...

14 Carlos Esteves, et al. ∙

∙ 11/17/2017

3D object classification and retrieval with Spherical CNNs

3D object classification and retrieval presents many challenges that are...

0 Carlos Esteves, et al. ∙

∙ 09/06/2017

Polar Transformer Networks

Convolutional neural networks (CNNs) are inherently equivariant to trans...

0 Carlos Esteves, et al. ∙

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