Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Guha Balakrishnan

Guha Balakrishnan

Matched sample selection with GANs for mitigating attribute confounding


Mar 24, 2021
Chandan Singh, Guha Balakrishnan, Pietro Perona

Figure 1 for Matched sample selection with GANs for mitigating attribute confounding
Figure 2 for Matched sample selection with GANs for mitigating attribute confounding
Figure 3 for Matched sample selection with GANs for mitigating attribute confounding
Figure 4 for Matched sample selection with GANs for mitigating attribute confounding

  Access Paper or Ask Questions

When and Why Test-Time Augmentation Works


Nov 23, 2020
Divya Shanmugam, Davis Blalock, Guha Balakrishnan, John Guttag

Figure 1 for When and Why Test-Time Augmentation Works
Figure 2 for When and Why Test-Time Augmentation Works
Figure 3 for When and Why Test-Time Augmentation Works
Figure 4 for When and Why Test-Time Augmentation Works

  Access Paper or Ask Questions

Towards causal benchmarking of bias in face analysis algorithms


Jul 13, 2020
Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona

Figure 1 for Towards causal benchmarking of bias in face analysis algorithms
Figure 2 for Towards causal benchmarking of bias in face analysis algorithms
Figure 3 for Towards causal benchmarking of bias in face analysis algorithms
Figure 4 for Towards causal benchmarking of bias in face analysis algorithms
* Long-form version of ECCV 2020 paper 
  Access Paper or Ask Questions

Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings


Jan 04, 2020
Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca

Figure 1 for Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
Figure 2 for Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
Figure 3 for Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
Figure 4 for Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings

  Access Paper or Ask Questions

Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions


Sep 01, 2019
Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Fredo Durand, William T. Freeman

Figure 1 for Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
Figure 2 for Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
Figure 3 for Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
Figure 4 for Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
* ICCV 2019 
  Access Paper or Ask Questions

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


Apr 06, 2019
Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca

Figure 1 for Data augmentation using learned transformations for one-shot medical image segmentation
Figure 2 for Data augmentation using learned transformations for one-shot medical image segmentation
Figure 3 for Data augmentation using learned transformations for one-shot medical image segmentation
Figure 4 for Data augmentation using learned transformations for one-shot medical image segmentation
* 9 pages, CVPR 2019 
  Access Paper or Ask Questions

Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces


Mar 08, 2019
Adrian V. Dalca, Guha Balakrishnan, John Guttag, Mert R. Sabuncu

Figure 1 for Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Figure 2 for Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Figure 3 for Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Figure 4 for Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
* Under Review at MedIA: Medical Image Analysis (MICCAI2018 Special Issue). This manuscript expands on the MICCAI 2018 paper (arXiv:1805.04605) by introducing an extension to anatomical surface registration, new experiments, and an analysis of diffeomorphic implementations. Code available at http://voxelmorph.csail.mit.edu 
  Access Paper or Ask Questions

Fast Learning-based Registration of Sparse Clinical Images


Dec 17, 2018
Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John Guttag, Adrian V. Dalca

Figure 1 for Fast Learning-based Registration of Sparse Clinical Images
Figure 2 for Fast Learning-based Registration of Sparse Clinical Images
Figure 3 for Fast Learning-based Registration of Sparse Clinical Images
Figure 4 for Fast Learning-based Registration of Sparse Clinical Images
* Paper presented at machine learning for healthcare (NeurIPS ML4H) 2018 
  Access Paper or Ask Questions

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration


Sep 14, 2018
Adrian V. Dalca, Guha Balakrishnan, John Guttag, Mert R. Sabuncu

Figure 1 for Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
Figure 2 for Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
Figure 3 for Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
Figure 4 for Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
* LNCS 11070, pp 729-738, Springer. 2018 
 * MICCAI 2018 (Oral Presentation). Proceedings: LNCS 11070, pp 729-738 
  Access Paper or Ask Questions

VoxelMorph: A Learning Framework for Deformable Medical Image Registration


Sep 14, 2018
Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John Guttag, Adrian V. Dalca

Figure 1 for VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Figure 2 for VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Figure 3 for VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Figure 4 for VoxelMorph: A Learning Framework for Deformable Medical Image Registration
* Submitted to IEEE TMI. This manuscript expands on the CVPR 2018 paper (arXiv:1802.02604) by presenting an auxiliary learning model, an amortized optimization analysis, and more extensive model evaluations 
  Access Paper or Ask Questions

An Unsupervised Learning Model for Deformable Medical Image Registration


Apr 20, 2018
Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John Guttag, Adrian V. Dalca

Figure 1 for An Unsupervised Learning Model for Deformable Medical Image Registration
Figure 2 for An Unsupervised Learning Model for Deformable Medical Image Registration
Figure 3 for An Unsupervised Learning Model for Deformable Medical Image Registration
Figure 4 for An Unsupervised Learning Model for Deformable Medical Image Registration
* 9 pages, in CVPR 2018 
  Access Paper or Ask Questions

Synthesizing Images of Humans in Unseen Poses


Apr 20, 2018
Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Fredo Durand, John Guttag

Figure 1 for Synthesizing Images of Humans in Unseen Poses
Figure 2 for Synthesizing Images of Humans in Unseen Poses
Figure 3 for Synthesizing Images of Humans in Unseen Poses
Figure 4 for Synthesizing Images of Humans in Unseen Poses
* CVPR 2018 
  Access Paper or Ask Questions

A Video-Based Method for Objectively Rating Ataxia


Sep 07, 2017
Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy Schmahmann, John Guttag, Fredo Durand

Figure 1 for A Video-Based Method for Objectively Rating Ataxia
Figure 2 for A Video-Based Method for Objectively Rating Ataxia
Figure 3 for A Video-Based Method for Objectively Rating Ataxia
Figure 4 for A Video-Based Method for Objectively Rating Ataxia
* MLHC 2017 
  Access Paper or Ask Questions