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Guha Balakrishnan
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2020 – today
- 2024
- [c26]Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez:
ElasticDiffusion: Training-Free Arbitrary Size Image Generation Through Global-Local Content Separation. CVPR 2024: 6603-6612 - [c25]Yujin Ham, Mateusz Michalkiewicz, Guha Balakrishnan:
DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction. ICCP 2024: 1-12 - [c24]Mike Wong, Murali Ramanujam, Guha Balakrishnan, Ravi Netravali:
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations. NSDI 2024: 549-568 - [c23]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: 4693-4703 - [i36]Matt Y. Cheung, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan:
Metric-guided Image Reconstruction Bounds via Conformal Prediction. CoRR abs/2404.15274 (2024) - [i35]Moayed Haji-Ali, Willi Menapace, Aliaksandr Siarohin, Guha Balakrishnan, Sergey Tulyakov, Vicente Ordonez:
Taming Data and Transformers for Audio Generation. CoRR abs/2406.19388 (2024) - [i34]Yujin Ham, Mateusz Michalkiewicz, Guha Balakrishnan:
DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction. CoRR abs/2407.01761 (2024) - [i33]Sepehr Dehdashtian, Ruozhen He, Yi Li, Guha Balakrishnan, Nuno Vasconcelos, Vicente Ordonez, Vishnu Naresh Boddeti:
Fairness and Bias Mitigation in Computer Vision: A Survey. CoRR abs/2408.02464 (2024) - [i32]Yiran Sun, Hana Baroudi, Tucker J. Netherton, Laurence E. Court, Osama Mawlawi, Ashok Veeraraghavan, Guha Balakrishnan:
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays. CoRR abs/2408.15118 (2024) - [i31]Kushal Vyas, Ahmed Imtiaz Humayun, Aniket Dashpute, Richard G. Baraniuk, Ashok Veeraraghavan, Guha Balakrishnan:
Learning Transferable Features for Implicit Neural Representations. CoRR abs/2409.09566 (2024) - [i30]Yuhao Liu, James Doss-Gollin, Guha Balakrishnan, Ashok Veeraraghavan:
Generative Precipitation Downscaling using Score-based Diffusion with Wasserstein Regularization. CoRR abs/2410.00381 (2024) - [i29]Matt Y. Cheung, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan:
Regression Conformal Prediction under Bias. CoRR abs/2410.05263 (2024) - 2023
- [c22]Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe:
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. ACSSC 2023: 789-793 - [c21]Ahmed Imtiaz Humayun, Randall Balestriero, Guha Balakrishnan, Richard G. Baraniuk:
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries. CVPR 2023: 3789-3798 - [c20]Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk:
WIRE: Wavelet Implicit Neural Representations. CVPR 2023: 18507-18516 - [c19]Hao Liang, Pietro Perona, Guha Balakrishnan:
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. ICCV 2023: 4954-4964 - [c18]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: 225-234 - [i28]Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk:
WIRE: Wavelet Implicit Neural Representations. CoRR abs/2301.05187 (2023) - [i27]Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan:
Towards causally linking architectural parametrizations to algorithmic bias in neural networks. CoRR abs/2302.03750 (2023) - [i26]Ahmed Imtiaz Humayun, Randall Balestriero, Guha Balakrishnan, Richard G. Baraniuk:
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries. CoRR abs/2302.12828 (2023) - [i25]Mike Wong, Murali Ramanujam, Guha Balakrishnan, Ravi Netravali:
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations. CoRR abs/2304.02101 (2023) - [i24]Hao Liang, Kevin Ni, Guha Balakrishnan:
Visualizing chest X-ray dataset biases using GANs. CoRR abs/2305.00147 (2023) - [i23]Hao Liang, Kevin Ni, Guha Balakrishnan:
X-ray Recognition: Patient identification from X-rays using a contrastive objective. CoRR abs/2305.00149 (2023) - [i22]Krish Kabra, Guha Balakrishnan:
F?D: On understanding the role of deep feature spaces on face generation evaluation. CoRR abs/2305.20048 (2023) - [i21]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 abs/2308.02100 (2023) - [i20]Hao Liang, Pietro Perona, Guha Balakrishnan:
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. CoRR abs/2308.05441 (2023) - [i19]Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe:
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. CoRR abs/2311.16353 (2023) - [i18]Krish Kabra, Kathleen M. Lewis, Guha Balakrishnan:
GELDA: A generative language annotation framework to reveal visual biases in datasets. CoRR abs/2311.18064 (2023) - [i17]Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez:
ElasticDiffusion: Training-free Arbitrary Size Image Generation. CoRR abs/2311.18822 (2023) - 2022
- [c17]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: 10400-10411 - [c16]Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan:
MINER: Multiscale Implicit Neural Representation. ECCV (23) 2022: 318-333 - [c15]Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona:
Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features. ECCV (17) 2022: 510-526 - [i16]Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona:
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features. CoRR abs/2201.10423 (2022) - [i15]Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan:
MINER: Multiscale Implicit Neural Representations. CoRR abs/2202.03532 (2022) - [i14]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 abs/2203.04913 (2022) - 2021
- [c14]Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag:
Better Aggregation in Test-Time Augmentation. ICCV 2021: 1194-1203 - [i13]Chandan Singh, Guha Balakrishnan, Pietro Perona:
Matched sample selection with GANs for mitigating attribute confounding. CoRR abs/2103.13455 (2021) - 2020
- [c13]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: 8432-8442 - [c12]Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona:
Towards Causal Benchmarking of Bias in Face Analysis Algorithms. ECCV (18) 2020: 547-563 - [i12]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 abs/2001.01026 (2020) - [i11]Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona:
Towards causal benchmarking of bias in face analysis algorithms. CoRR abs/2007.06570 (2020) - [i10]Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag:
When and Why Test-Time Augmentation Works. CoRR abs/2011.11156 (2020)
2010 – 2019
- 2019
- [j3]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: 226-236 (2019) - [j2]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): 1788-1800 (2019) - [c11]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: 8543-8553 - [c10]Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman:
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. ICCV 2019: 171-180 - [i9]Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Data augmentation using learned transforms for one-shot medical image segmentation. CoRR abs/1902.09383 (2019) - [i8]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces. CoRR abs/1903.03545 (2019) - [i7]Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman:
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. CoRR abs/1909.00475 (2019) - 2018
- [c9]Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag:
Synthesizing Images of Humans in Unseen Poses. CVPR 2018: 8340-8348 - [c8]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
An Unsupervised Learning Model for Deformable Medical Image Registration. CVPR 2018: 9252-9260 - [c7]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. MICCAI (1) 2018: 729-738 - [i6]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
An Unsupervised Learning Model for Deformable Medical Image Registration. CoRR abs/1802.02604 (2018) - [i5]Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag:
Synthesizing Images of Humans in Unseen Poses. CoRR abs/1804.07739 (2018) - [i4]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. CoRR abs/1805.04605 (2018) - [i3]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
VoxelMorph: A Learning Framework for Deformable Medical Image Registration. CoRR abs/1809.05231 (2018) - [i2]Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John V. Guttag, Adrian V. Dalca:
Fast Learning-based Registration of Sparse Clinical Images. CoRR abs/1812.06932 (2018) - 2017
- [c6]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: 204-216 - 2016
- [i1]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 abs/1612.04007 (2016) - 2015
- [j1]Guha Balakrishnan, Frédo Durand, John V. Guttag:
Video diff: highlighting differences between similar actions in videos. ACM Trans. Graph. 34(6): 194:1-194:10 (2015) - 2013
- [c5]Guha Balakrishnan, Frédo Durand, John V. Guttag:
Detecting Pulse from Head Motions in Video. CVPR 2013: 3430-3437 - 2012
- [c4]Guha Balakrishnan, Zeeshan Syed:
Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection. AISTATS 2012: 73-81 - 2011
- [c3]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: 2184-2187 - 2010
- [c2]Guha Balakrishnan, Zeeshan Syed:
Scalable personalized medicine with active learning: detecting seizures with minimum labeled data. IHI 2010: 83-90 - [c1]Patrick R. Jordan, Michael P. Wellman, Guha Balakrishnan:
Strategy and mechanism lessons from the first ad auctions trading agent competition. EC 2010: 287-296
Coauthor Index
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last updated on 2024-12-01 01:07 CET by the dblp team
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