Ameesh Makadia

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An Analysis of SVD for Deep Rotation Estimation

Symmetric orthogonalization via SVD, and closely related procedures, are...
06/25/2020 ∙ by Jake Levinson, et al. ∙ 6 ∙ share

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Spin-Weighted Spherical CNNs

Learning equivariant representations is a promising way to reduce sample...
06/18/2020 ∙ by Carlos Esteves, et al. ∙ 11 ∙ share

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Time Dependence in Non-Autonomous Neural ODEs

Neural Ordinary Differential Equations (ODEs) are elegant reinterpretati...
05/05/2020 ∙ by Jared Quincy Davis, et al. ∙ 7 ∙ share

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Local Implicit Grid Representations for 3D Scenes

Shape priors learned from data are commonly used to reconstruct 3D objec...
03/19/2020 ∙ by Chiyu "Max" Jiang, et al. ∙ 44 ∙ share

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Latent feature disentanglement for 3D meshes

Generative modeling of 3D shapes has become an important problem due to ...
06/07/2019 ∙ by Jake Levinson, et al. ∙ 0 ∙ share

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Cross-Domain 3D Equivariant Image Embeddings

Spherical convolutional networks have been introduced recently as tools ...
12/06/2018 ∙ by Carlos Esteves, et al. ∙ 14 ∙ share

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Labeling Panoramas with Spherical Hourglass Networks

With the recent proliferation of consumer-grade 360 cameras, it is worth...
09/06/2018 ∙ by Carlos Esteves, et al. ∙ 6 ∙ share

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Deformable Shape Completion with Graph Convolutional Autoencoders

The availability of affordable and portable depth sensors has made scann...
12/01/2017 ∙ by Or Litany, et al. ∙ 0 ∙ share

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3D object classification and retrieval with Spherical CNNs

3D object classification and retrieval presents many challenges that are...
11/17/2017 ∙ by Carlos Esteves, et al. ∙ 0 ∙ share

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Geometry of 3D Environments and Sum of Squares Polynomials

Motivated by applications in robotics and computer vision, we study prob...
11/22/2016 ∙ by Amir Ali Ahmadi, et al. ∙ 0 ∙ share

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Ameesh Makadia

Featured Co-authors

Honglak Lee

Matthias Nießner

Kostas Daniilidis

Krzysztof Choromanski

Adrian Weller

Thomas Funkhouser

Alex Bronstein

Noah Snavely

Vikas Sindhwani

Or Litany

Angjoo Kanazawa

An Analysis of SVD for Deep Rotation Estimation

Spin-Weighted Spherical CNNs

Time Dependence in Non-Autonomous Neural ODEs

Local Implicit Grid Representations for 3D Scenes

Latent feature disentanglement for 3D meshes

Cross-Domain 3D Equivariant Image Embeddings

Labeling Panoramas with Spherical Hourglass Networks

Deformable Shape Completion with Graph Convolutional Autoencoders

3D object classification and retrieval with Spherical CNNs

Geometry of 3D Environments and Sum of Squares Polynomials