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When and Why Test-Time Augmentation Works
Test-time augmentation (TTA)—the aggregation of predictions across trans...
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Towards causal benchmarking of bias in face analysis algorithms
Measuring algorithmic bias is crucial both to assess algorithmic fairnes...
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Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
We introduce a new video synthesis task: synthesizing time lapse videos ...
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Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
We introduce visual deprojection: the task of recovering an image or vid...
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Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Classical deformable registration techniques achieve impressive results ...
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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...
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Fast Learning-based Registration of Sparse Clinical Images
Deformable registration of clinical scans is a fundamental task for many...
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VoxelMorph: A Learning Framework for Deformable Medical Image Registration
We present VoxelMorph, a fast, unsupervised, learning-based algorithm fo...
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Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
Traditional deformable registration techniques achieve impressive result...
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Synthesizing Images of Humans in Unseen Poses
We address the computational problem of novel human pose synthesis. Give...
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An Unsupervised Learning Model for Deformable Medical Image Registration
We present an efficient learning-based algorithm for deformable, pairwis...
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A Video-Based Method for Objectively Rating Ataxia
For many movement disorders, such as Parkinson's disease and ataxia, dis...
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