Guha Balakrishnan

According to our database, Guha Balakrishnan authored at least 48 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generative Precipitation Downscaling using Score-based Diffusion with Wasserstein Regularization.

Yuhao Liu, James Doss-Gollin, Guha Balakrishnan, Ashok Veeraraghavan

CoRR, 2024

Learning Transferable Features for Implicit Neural Representations.

Kushal Vyas, Ahmed Imtiaz Humayun, Aniket Dashpute, Richard G. Baraniuk, Ashok Veeraraghavan, Guha Balakrishnan

CoRR, 2024

DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays.

Yiran Sun, Hana Baroudi, Tucker J. Netherton, Laurence E. Court, Osama Mawlawi, Ashok Veeraraghavan, Guha Balakrishnan

CoRR, 2024

Fairness and Bias Mitigation in Computer Vision: A Survey.

Sepehr Dehdashtian, Ruozhen He, Yi Li, Guha Balakrishnan, Nuno Vasconcelos, Vicente Ordonez, Vishnu Naresh Boddeti

CoRR, 2024

Taming Data and Transformers for Audio Generation.

Moayed Haji-Ali, Willi Menapace, Aliaksandr Siarohin, Guha Balakrishnan, Sergey Tulyakov, Vicente Ordonez

CoRR, 2024

Metric-guided Image Reconstruction Bounds via Conformal Prediction.

Matt Y. Cheung, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan

CoRR, 2024

Linking convolutional kernel size to generalization bias in face analysis CNNs.

Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations.

Mike Wong, Murali Ramanujam, Guha Balakrishnan, Ravi Netravali

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction.

Yujin Ham, Mateusz Michalkiewicz, Guha Balakrishnan

Proceedings of the IEEE International Conference on Computational Photography, 2024

ElasticDiffusion: Training-Free Arbitrary Size Image Generation Through Global-Local Content Separation.

Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ElasticDiffusion: Training-free Arbitrary Size Image Generation.

Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez

CoRR, 2023

GELDA: A generative language annotation framework to reveal visual biases in datasets.

Krish Kabra, Kathleen M. Lewis, Guha Balakrishnan

CoRR, 2023

F?D: On understanding the role of deep feature spaces on face generation evaluation.

Krish Kabra, Guha Balakrishnan

CoRR, 2023

X-ray Recognition: Patient identification from X-rays using a contrastive objective.

Hao Liang, Kevin Ni, Guha Balakrishnan

CoRR, 2023

Visualizing chest X-ray dataset biases using GANs.

Hao Liang, Kevin Ni, Guha Balakrishnan

CoRR, 2023

Towards causally linking architectural parametrizations to algorithmic bias in neural networks.

Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan

CoRR, 2023

CT Reconstruction from Few Planar X-Rays with Application Towards Low-Resource Radiotherapy.

Yiran Sun, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation.

Hao Liang, Pietro Perona, Guha Balakrishnan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

WIRE: Wavelet Implicit Neural Representations.

Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries.

Ahmed Imtiaz Humayun, Randall Balestriero, Guha Balakrishnan, Richard G. Baraniuk

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations.

Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

MINER: Multiscale Implicit Neural Representations.

Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan

CoRR, 2022

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

Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona

CoRR, 2022

MINER: Multiscale Implicit Neural Representation.

Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan

Proceedings of the Computer Vision - ECCV 2022, 2022

Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features.

Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Matched sample selection with GANs for mitigating attribute confounding.

Chandan Singh, Guha Balakrishnan, Pietro Perona

CoRR, 2021

Better Aggregation in Test-Time Augmentation.

Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

When and Why Test-Time Augmentation Works.

Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag

CoRR, 2020

Towards Causal Benchmarking of Bias in Face Analysis Algorithms.

Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona

Proceedings of the Computer Vision - ECCV 2020, 2020

Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

VoxelMorph: A Learning Framework for Deformable Medical Image Registration.

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

IEEE Trans. Medical Imaging, 2019

Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces.

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

Medical Image Anal., 2019

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

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

CoRR, 2019

Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions.

Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Fast Learning-based Registration of Sparse Clinical Images.

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

CoRR, 2018

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

An Unsupervised Learning Model for Deformable Medical Image Registration.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Synthesizing Images of Humans in Unseen Poses.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

A Video-Based Method for Automatically Rating Ataxia.

Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, Frédo Durand, John V. Guttag

Proceedings of the Machine Learning for Health Care Conference, 2017

2016

A Video-Based Method for Objectively Rating Ataxia.

Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, John V. Guttag, Frédo Durand

CoRR, 2016

2015

Video diff: highlighting differences between similar actions in videos.

Guha Balakrishnan, Frédo Durand, John V. Guttag

ACM Trans. Graph., 2015

2013

Detecting Pulse from Head Motions in Video.

Guha Balakrishnan, Frédo Durand, John V. Guttag

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.

Guha Balakrishnan, Zeeshan Syed

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.

Kuk Jin Jang, Guha Balakrishnan, Zeeshan Syed, Naveen Verma

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.

Patrick R. Jordan, Michael P. Wellman, Guha Balakrishnan

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.

Guha Balakrishnan, Zeeshan Syed

Proceedings of the ACM International Health Informatics Symposium, 2010