Guha Balakrishnan

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 53

Top Topics

Unsupervised Learning

Medical Image Registration

Top Venues

Publications

Yujin Ham, Mateusz Michalkiewicz, Guha Balakrishnan
DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction. CoRR (2024)
Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan
Linking convolutional kernel size to generalization bias in face analysis CNNs. WACV (2024)
Mike Wong, Murali Ramanujam, Guha Balakrishnan, Ravi Netravali
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations. NSDI (2024)
Moayed Haji-Ali, Willi Menapace, Aliaksandr Siarohin, Guha Balakrishnan, Sergey Tulyakov, Vicente Ordonez
Taming Data and Transformers for Audio Generation. CoRR (2024)
Matt Y. Cheung, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan
Metric-guided Image Reconstruction Bounds via Conformal Prediction. CoRR (2024)
Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez
ElasticDiffusion: Training-free Arbitrary Size Image Generation. CoRR (2023)
Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. ACSSC (2023)
Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk
WIRE: Wavelet Implicit Neural Representations. CVPR (2023)
Ahmed Imtiaz Humayun, Randall Balestriero, Guha Balakrishnan, Richard G. Baraniuk
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries. CoRR (2023)
Krish Kabra, Kathleen M. Lewis, Guha Balakrishnan
GELDA: A generative language annotation framework to reveal visual biases in datasets. CoRR (2023)
Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan
Towards causally linking architectural parametrizations to algorithmic bias in neural networks. CoRR (2023)
Mike Wong, Murali Ramanujam, Guha Balakrishnan, Ravi Netravali
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations. CoRR (2023)
Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. CoRR (2023)
Hao Liang, Kevin Ni, Guha Balakrishnan
Visualizing chest X-ray dataset biases using GANs. CoRR (2023)
Yiran Sun, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan
CT Reconstruction from Few Planar X-Rays with Application Towards Low-Resource Radiotherapy. DGM4MICCAI (2023)
Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk
WIRE: Wavelet Implicit Neural Representations. CoRR (2023)
Ahmed Imtiaz Humayun, Randall Balestriero, Guha Balakrishnan, Richard G. Baraniuk
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries. CVPR (2023)
Krish Kabra, Guha Balakrishnan
F?D: On understanding the role of deep feature spaces on face generation evaluation. CoRR (2023)
Yiran Sun, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan
CT Reconstruction from Few Planar X-rays with Application towards Low-resource Radiotherapy. CoRR (2023)
Hao Liang, Kevin Ni, Guha Balakrishnan
X-ray Recognition: Patient identification from X-rays using a contrastive objective. CoRR (2023)
Hao Liang, Pietro Perona, Guha Balakrishnan
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. CoRR (2023)
Hao Liang, Pietro Perona, Guha Balakrishnan
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. ICCV (2023)
Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona
Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features. ECCV (17) (2022)
Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. CVPR (2022)
Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan
MINER: Multiscale Implicit Neural Representation. ECCV (23) (2022)
Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features. CoRR (2022)
Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. CoRR (2022)
Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan
MINER: Multiscale Implicit Neural Representations. CoRR (2022)
Chandan Singh, Guha Balakrishnan, Pietro Perona
Matched sample selection with GANs for mitigating attribute confounding. CoRR (2021)
Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag
Better Aggregation in Test-Time Augmentation. ICCV (2021)
Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CoRR (2020)
Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona
Towards Causal Benchmarking of Bias in Face Analysis Algorithms. ECCV (18) (2020)
Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CVPR (2020)
Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona
Towards causal benchmarking of bias in face analysis algorithms. CoRR (2020)
Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag
When and Why Test-Time Augmentation Works. CoRR (2020)
Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. CVPR (2019)
Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces. Medical Image Anal. 57 (2019)
Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces. CoRR (2019)
Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. ICCV (2019)
Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
Data augmentation using learned transforms for one-shot medical image segmentation. CoRR (2019)
Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. CoRR (2019)
Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
VoxelMorph: A Learning Framework for Deformable Medical Image Registration. IEEE Trans. Medical Imaging 38 (8) (2019)
Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
VoxelMorph: A Learning Framework for Deformable Medical Image Registration. CoRR (2018)
Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. CoRR (2018)
Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John V. Guttag, Adrian V. Dalca
Fast Learning-based Registration of Sparse Clinical Images. CoRR (2018)
Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag
Synthesizing Images of Humans in Unseen Poses. CVPR (2018)
Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. MICCAI (1) (2018)
Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
An Unsupervised Learning Model for Deformable Medical Image Registration. CVPR (2018)
Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag
Synthesizing Images of Humans in Unseen Poses. CoRR (2018)
Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
An Unsupervised Learning Model for Deformable Medical Image Registration. CoRR (2018)
Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, Frédo Durand, John V. Guttag
A Video-Based Method for Automatically Rating Ataxia. MLHC (2017)
Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, John V. Guttag, Frédo Durand
A Video-Based Method for Objectively Rating Ataxia. CoRR (2016)
Guha Balakrishnan, Frédo Durand, John V. Guttag
Video diff: highlighting differences between similar actions in videos. ACM Trans. Graph. 34 (6) (2015)
Guha Balakrishnan, Frédo Durand, John V. Guttag
Detecting Pulse from Head Motions in Video. CVPR (2013)
Guha Balakrishnan, Zeeshan Syed
Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection. AISTATS (2012)
Kuk Jin Jang, Guha Balakrishnan, Zeeshan Syed, Naveen Verma
Scalable customization of atrial fibrillation detection in cardiac monitoring devices: Increasing detection accuracy through personalized monitoring in large patient populations. EMBC (2011)
Patrick R. Jordan, Michael P. Wellman, Guha Balakrishnan
Strategy and mechanism lessons from the first ad auctions trading agent competition. EC (2010)
Guha Balakrishnan, Zeeshan Syed
Scalable personalized medicine with active learning: detecting seizures with minimum labeled data. IHI (2010)