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08/10/2023
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation
We propose an experimental method for measuring bias in face recognition...
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08/04/2023
CT Reconstruction from Few Planar X-rays with Application towards Low-resource Radiotherapy
CT scans are the standard-of-care for many clinical ailments, and are ne...
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05/31/2023
F?D: On understanding the role of deep feature spaces on face generation evaluation
Perceptual metrics, like the Fréchet Inception Distance (FID), are widel...
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04/29/2023
X-ray Recognition: Patient identification from X-rays using a contrastive objective
Recent research demonstrates that deep learning models are capable of pr...
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04/29/2023
Visualizing chest X-ray dataset biases using GANs
Recent work demonstrates that images from various chest X-ray datasets c...
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04/04/2023
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations
Camera orientations (i.e., rotation and zoom) govern the content that a ...
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02/07/2023
Towards causally linking architectural parametrizations to algorithmic bias in neural networks
Training dataset biases are by far the most scrutinized factors when exp...
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01/05/2023
WIRE: Wavelet Implicit Neural Representations
Implicit neural representations (INRs) have recently advanced numerous v...
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03/09/2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers
Algorithmic fairness is frequently motivated in terms of a trade-off in ...
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02/07/2022
MINER: Multiscale Implicit Neural Representations
We introduce a new neural signal representation designed for the efficie...
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01/25/2022
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features
We present a method for finding paths in a deep generative model's laten...
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11/23/2020
When and Why Test-Time Augmentation Works
Test-time augmentation (TTA)—the aggregation of predictions across trans...
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07/13/2020
Towards causal benchmarking of bias in face analysis algorithms
Measuring algorithmic bias is crucial both to assess algorithmic fairnes...
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01/04/2020
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
We introduce a new video synthesis task: synthesizing time lapse videos ...
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09/01/2019
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
We introduce visual deprojection: the task of recovering an image or vid...
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03/08/2019
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Classical deformable registration techniques achieve impressive results ...
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02/25/2019
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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12/17/2018
Fast Learning-based Registration of Sparse Clinical Images
Deformable registration of clinical scans is a fundamental task for many...
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09/14/2018
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
We present VoxelMorph, a fast, unsupervised, learning-based algorithm fo...
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05/11/2018
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
Traditional deformable registration techniques achieve impressive result...
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04/20/2018
Synthesizing Images of Humans in Unseen Poses
We address the computational problem of novel human pose synthesis. Give...
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02/07/2018
An Unsupervised Learning Model for Deformable Medical Image Registration
We present an efficient learning-based algorithm for deformable, pairwis...
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12/13/2016
