default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGuha Balakrishnan
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-01 00:10 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
