Guha Balakrishnan

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MIT

When and Why Test-Time Augmentation Works

Test-time augmentation (TTA)—the aggregation of predictions across trans...
11/23/2020 ∙ by Divya Shanmugam, et al. ∙ 6 ∙ share

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Towards causal benchmarking of bias in face analysis algorithms

Measuring algorithmic bias is crucial both to assess algorithmic fairnes...
07/13/2020 ∙ by Guha Balakrishnan, et al. ∙ 0 ∙ share

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Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings

We introduce a new video synthesis task: synthesizing time lapse videos ...
01/04/2020 ∙ by Amy Zhao, et al. ∙ 16 ∙ share

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Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions

We introduce visual deprojection: the task of recovering an image or vid...
09/01/2019 ∙ by Guha Balakrishnan, et al. ∙ 3 ∙ share

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Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces

Classical deformable registration techniques achieve impressive results ...
03/08/2019 ∙ by Adrian V. Dalca, et al. ∙ 13 ∙ share

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Data augmentation using learned transforms for one-shot medical image segmentation

Biomedical image segmentation is an important task in many medical appli...
02/25/2019 ∙ by Amy Zhao, et al. ∙ 33 ∙ share

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Fast Learning-based Registration of Sparse Clinical Images

Deformable registration of clinical scans is a fundamental task for many...
12/17/2018 ∙ by Kathleen M. Lewis, et al. ∙ 1 ∙ share

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VoxelMorph: A Learning Framework for Deformable Medical Image Registration

We present VoxelMorph, a fast, unsupervised, learning-based algorithm fo...
09/14/2018 ∙ by Guha Balakrishnan, et al. ∙ 1 ∙ share

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Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

Traditional deformable registration techniques achieve impressive result...
05/11/2018 ∙ by Adrian V. Dalca, et al. ∙ 1 ∙ share

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Synthesizing Images of Humans in Unseen Poses

We address the computational problem of novel human pose synthesis. Give...
04/20/2018 ∙ by Guha Balakrishnan, et al. ∙ 1 ∙ share

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An Unsupervised Learning Model for Deformable Medical Image Registration

We present an efficient learning-based algorithm for deformable, pairwis...
02/07/2018 ∙ by Guha Balakrishnan, et al. ∙ 1 ∙ share

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A Video-Based Method for Objectively Rating Ataxia

For many movement disorders, such as Parkinson's disease and ataxia, dis...
12/13/2016 ∙ by Ronnachai Jaroensri, et al. ∙ 0 ∙ share

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Guha Balakrishnan

Featured Co-authors

William T. Freeman

Pietro Perona

Mert R. Sabuncu

Adrian V. Dalca

Wei Xia

Yuanjun Xiong

Fredo Durand

John Guttag

John V Guttag

Amy Zhao

Natalia S. Rost

When and Why Test-Time Augmentation Works

Towards causal benchmarking of bias in face analysis algorithms

Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings

Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions

Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces

Data augmentation using learned transforms for one-shot medical image segmentation

Fast Learning-based Registration of Sparse Clinical Images

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

Synthesizing Images of Humans in Unseen Poses

An Unsupervised Learning Model for Deformable Medical Image Registration

A Video-Based Method for Objectively Rating Ataxia