Guha Balakrishnan | DeepAI

DeepAI AI Chat

Featured Co-authors

Bernhard Schölkopf
271 publications
richb
90 publications
William T. Freeman
77 publications
Adrian V. Dalca
58 publications
Pietro Perona
55 publications
Francesco Locatello
53 publications
Mert R. Sabuncu
49 publications
Wei Xia
45 publications
Chris Russell
41 publications
Yuanjun Xiong
36 publications
Ashok Veeraraghavan
34 publications

∙ 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...

0 Hao Liang, et al. ∙

∙ 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...

0 Yiran Sun, et al. ∙

∙ 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...

0 Krish Kabra, et al. ∙

∙ 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...

0 Hao Liang, et al. ∙

∙ 04/29/2023

Visualizing chest X-ray dataset biases using GANs

Recent work demonstrates that images from various chest X-ray datasets c...

0 Hao Liang, et al. ∙

∙ 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 ...

0 Mike Wong, et al. ∙

∙ 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...

0 Hao Liang, et al. ∙

∙ 01/05/2023

WIRE: Wavelet Implicit Neural Representations

Implicit neural representations (INRs) have recently advanced numerous v...

0 Vishwanath Saragadam, et al. ∙

∙ 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 ...

3 Dominik Zietlow, et al. ∙

∙ 02/07/2022

MINER: Multiscale Implicit Neural Representations

We introduce a new neural signal representation designed for the efficie...

5 Vishwanath Saragadam, et al. ∙

∙ 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...

5 Guha Balakrishnan, et al. ∙

∙ 11/23/2020

When and Why Test-Time Augmentation Works

Test-time augmentation (TTA)—the aggregation of predictions across trans...

6 Divya Shanmugam, et al. ∙

∙ 07/13/2020

Towards causal benchmarking of bias in face analysis algorithms

Measuring algorithmic bias is crucial both to assess algorithmic fairnes...

0 Guha Balakrishnan, et al. ∙

∙ 01/04/2020

Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings

We introduce a new video synthesis task: synthesizing time lapse videos ...

16 Amy Zhao, et al. ∙

∙ 09/01/2019

Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions

We introduce visual deprojection: the task of recovering an image or vid...

3 Guha Balakrishnan, et al. ∙

∙ 03/08/2019

Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces

Classical deformable registration techniques achieve impressive results ...

13 Adrian V. Dalca, et al. ∙

∙ 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...

33 Amy Zhao, et al. ∙

∙ 12/17/2018

Fast Learning-based Registration of Sparse Clinical Images

Deformable registration of clinical scans is a fundamental task for many...

1 Kathleen M. Lewis, et al. ∙

∙ 09/14/2018

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

We present VoxelMorph, a fast, unsupervised, learning-based algorithm fo...

1 Guha Balakrishnan, et al. ∙

∙ 05/11/2018

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

Traditional deformable registration techniques achieve impressive result...

1 Adrian V. Dalca, et al. ∙

∙ 04/20/2018

Synthesizing Images of Humans in Unseen Poses

We address the computational problem of novel human pose synthesis. Give...

1 Guha Balakrishnan, et al. ∙

∙ 02/07/2018

An Unsupervised Learning Model for Deformable Medical Image Registration

We present an efficient learning-based algorithm for deformable, pairwis...

1 Guha Balakrishnan, et al. ∙

∙ 12/13/2016

A Video-Based Method for Objectively Rating Ataxia

For many movement disorders, such as Parkinson's disease and ataxia, dis...

0 Ronnachai Jaroensri, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world