Guha Balakrishnan

According to our database1, Guha Balakrishnan authored at least 25 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers.
CoRR, 2022

MINER: Multiscale Implicit Neural Representations.
CoRR, 2022

Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features.
CoRR, 2022

2021
Matched sample selection with GANs for mitigating attribute confounding.
CoRR, 2021

Better Aggregation in Test-Time Augmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
When and Why Test-Time Augmentation Works.
CoRR, 2020

Towards Causal Benchmarking of Bias in Face Analysis Algorithms.
Proceedings of the Computer Vision - ECCV 2020, 2020

Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
VoxelMorph: A Learning Framework for Deformable Medical Image Registration.
IEEE Trans. Medical Imaging, 2019

Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces.
Medical Image Anal., 2019

Data augmentation using learned transforms for one-shot medical image segmentation.
CoRR, 2019

Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Fast Learning-based Registration of Sparse Clinical Images.
CoRR, 2018

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

An Unsupervised Learning Model for Deformable Medical Image Registration.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Synthesizing Images of Humans in Unseen Poses.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
A Video-Based Method for Automatically Rating Ataxia.
Proceedings of the Machine Learning for Health Care Conference, 2017

2016
A Video-Based Method for Objectively Rating Ataxia.
CoRR, 2016

2015
Video diff: highlighting differences between similar actions in videos.
ACM Trans. Graph., 2015

2013
Detecting Pulse from Head Motions in Video.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011
Scalable customization of atrial fibrillation detection in cardiac monitoring devices: Increasing detection accuracy through personalized monitoring in large patient populations.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Strategy and mechanism lessons from the first ad auctions trading agent competition.
Proceedings of the Proceedings 11th ACM Conference on Electronic Commerce (EC-2010), 2010

Scalable personalized medicine with active learning: detecting seizures with minimum labeled data.
Proceedings of the ACM International Health Informatics Symposium, 2010


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