Guha Balakrishnan

89 papers A* 15A 2B 1Misc 2Journal 56Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Conformal Volumetry for Template-Based Segmentation. CoRR Matt Y. Cheung, Ashok Veeraraghavan, Guha Balakrishnan
2026	J	`jnl`	EgoGroups: A Benchmark For Detecting Social Groups of People in the Wild. CoRR Jeffri Murrugarra-Llerena, Pranav Chitale, Zicheng Liu, Kai Ao, Yujin Ham, Guha Balakrishnan, Paola Cascante-Bonilla
2026	J	`jnl`	Generating Humanless Environment Walkthroughs from Egocentric Walking Tour Videos. CoRR Yujin Ham, Junho Kim, Vivek Boominathan, Guha Balakrishnan
2026	J	`jnl`	Taming Data and Transformers for Audio Generation. Int. J. Comput. Vis. Moayed Haji-Ali, Willi Menapace, Aliaksandr Siarohin, Guha Balakrishnan, Vicente Ordonez
2026	J	`jnl`	The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations. CoRR Kushal Vyas, Alper Kayabasi, Daniel Kim, Vishwanath Saragadam, Ashok Veeraraghavan, Guha Balakrishnan
2025	A*	`conf`	Bias for Action: Video Implicit Neural Representations with Bias Modulation. CVPR Alper Kayabasi, Anil Kumar Vadathya, Guha Balakrishnan, Vishwanath Saragadam
2025	J	`jnl`	Bias for Action: Video Implicit Neural Representations with Bias Modulation. CoRR Alper Kayabasi, Anil Kumar Vadathya, Guha Balakrishnan, Vishwanath Saragadam
2025	J	`jnl`	COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics. CoRR Matt Y. Cheung, Ashok Veeraraghavan, Guha Balakrishnan
2025	—	`conf`	Classifying Coronary Artery Calcification Risk using Radiomics from Non-Gated CT Scans. ISBI Sandra Emi Sato Imuro, Salman Siddique Khan, Eman Nayaz Ahmed, Deeksha Sarda, Guha Balakrishnan, Sadeer Al-Kindi, Ashutosh Sabharwal
2025	J	`jnl`	Debris segmentation using post-hurricane aerial imagery. Comput. Aided Civ. Infrastructure Eng. Kooshan Amini, Yuhao Liu, Jamie E. Padgett, Guha Balakrishnan, Ashok Veeraraghavan
2025	J	`jnl`	Downscaling Extreme Precipitation With Wasserstein Regularized Diffusion. IEEE Trans. Geosci. Remote. Sens. Yuhao Liu, James Doss-Gollin, Qiushi Dai, Ashok Veeraraghavan, Guha Balakrishnan
2025	J	`jnl`	FastAvatar: Instant 3D Gaussian Splatting for Faces from Single Unconstrained Poses. CoRR Hao Liang, Zhixuan Ge, Ashish Tiwari, Soumendu Majee, G. M. Dilshan Godaliyadda, Ashok Veeraraghavan, Guha Balakrishnan
2025	—	`conf`	Fit Pixels, Get Labels: Meta-learned Implicit Networks for Image Segmentation. MICCAI (3) Kushal Vyas, Ashok Veeraraghavan, Guha Balakrishnan
2025	J	`jnl`	Fit Pixels, Get Labels: Meta-learned Implicit Networks for Image Segmentation. CoRR Kushal Vyas, Ashok Veeraraghavan, Guha Balakrishnan
2025	J	`jnl`	GIQ: Benchmarking 3D Geometric Reasoning of Vision Foundation Models with Simulated and Real Polyhedra. CoRR Mateusz Michalkiewicz, Anekha Sokhal, Tadeusz Michalkiewicz, Piotr Pawlikowski, Mahsa Baktashmotlagh, Varun Jampani, Guha Balakrishnan
2025	J	`jnl`	GViT: Representing Images as Gaussians for Visual Recognition. CoRR Jefferson Hernandez, Ruozhen He, Guha Balakrishnan, Alexander C. Berg, Vicente Ordonez
2025	—	`conf`	Learning Efficient Implicit Neural Representations for Low Data Settings with Structured Noise. IEEECONF Kushal Vyas, Ashok Veeraraghavan, Guha Balakrishnan
2025	—	`conf`	Metric-Guided Conformal Bounds for Probabilistic Image Reconstruction. UNSURE@MICCAI Matt Y. Cheung, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan
2025	J	`jnl`	Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models. CoRR Kooshan Amini, Yuhao Liu, Jamie E. Padgett, Guha Balakrishnan, Ashok Veeraraghavan
2025	J	`jnl`	TranSplat: Lighting-Consistent Cross-Scene Object Transfer with 3D Gaussian Splatting. CoRR Boyang Yu, Yanlin Jin, Ashok Veeraraghavan, Akshat Dave, Guha Balakrishnan
2025	—	`conf`	When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-View CT. ISBI Matt Y. Cheung, Sophia Zorek, Tucker J. Netherton, Laurence E. Court, Sadeer Al-Kindi, Ashok Veeraraghavan, Guha Balakrishnan
2025	J	`jnl`	When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CT. CoRR Matt Y. Cheung, Sophia Zorek, Tucker J. Netherton, Laurence E. Court, Sadeer Al-Kindi, Ashok Veeraraghavan, Guha Balakrishnan
2024	J	`jnl`	DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays. CoRR Yiran Sun, Hana Baroudi, Tucker J. Netherton, Laurence E. Court, Osama Mawlawi, Ashok Veeraraghavan, Guha Balakrishnan
2024	B	`conf`	DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction. ICCP Yujin Ham, Mateusz Michalkiewicz, Guha Balakrishnan
2024	J	`jnl`	DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction. CoRR Yujin Ham, Mateusz Michalkiewicz, Guha Balakrishnan
2024	A*	`conf`	ElasticDiffusion: Training-Free Arbitrary Size Image Generation Through Global-Local Content Separation. CVPR Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez
2024	J	`jnl`	Fairness and Bias Mitigation in Computer Vision: A Survey. CoRR Sepehr Dehdashtian, Ruozhen He, Yi Li, Guha Balakrishnan, Nuno Vasconcelos, Vicente Ordonez, Vishnu Naresh Boddeti
2024	J	`jnl`	Generative Precipitation Downscaling using Score-based Diffusion with Wasserstein Regularization. CoRR Yuhao Liu, James Doss-Gollin, Guha Balakrishnan, Ashok Veeraraghavan
2024	A*	`conf`	Learning Transferable Features for Implicit Neural Representations. NeurIPS Kushal Kardam Vyas, Ahmed Imtiaz Humayun, Aniket Dashpute, Richard G. Baraniuk, Ashok Veeraraghavan, Guha Balakrishnan
2024	J	`jnl`	Learning Transferable Features for Implicit Neural Representations. CoRR Kushal Vyas, Ahmed Imtiaz Humayun, Aniket Dashpute, Richard G. Baraniuk, Ashok Veeraraghavan, Guha Balakrishnan
2024	A	`conf`	Linking convolutional kernel size to generalization bias in face analysis CNNs. WACV Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan
2024	Misc	`conf`	MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations. NSDI Mike Wong, Murali Ramanujam, Guha Balakrishnan, Ravi Netravali
2024	J	`jnl`	Metric-guided Image Reconstruction Bounds via Conformal Prediction. CoRR Matt Y. Cheung, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan
2024	J	`jnl`	Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models. CoRR Mateusz Michalkiewicz, Sheena Bai, Mahsa Baktashmotlagh, Varun Jampani, Guha Balakrishnan
2024	J	`jnl`	Regression Conformal Prediction under Bias. CoRR Matt Y. Cheung, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan
2024	J	`jnl`	Taming Data and Transformers for Audio Generation. CoRR Moayed Haji-Ali, Willi Menapace, Aliaksandr Siarohin, Guha Balakrishnan, Sergey Tulyakov, Vicente Ordonez
2023	A*	`conf`	Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. ICCV Hao Liang, Pietro Perona, Guha Balakrishnan
2023	J	`jnl`	Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. CoRR Hao Liang, Pietro Perona, Guha Balakrishnan
2023	—	`conf`	CT Reconstruction from Few Planar X-Rays with Application Towards Low-Resource Radiotherapy. DGM4MICCAI Yiran Sun, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan
2023	J	`jnl`	CT Reconstruction from Few Planar X-rays with Application towards Low-resource Radiotherapy. CoRR Yiran Sun, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan
2023	J	`jnl`	ElasticDiffusion: Training-free Arbitrary Size Image Generation. CoRR Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez
2023	J	`jnl`	F?D: On understanding the role of deep feature spaces on face generation evaluation. CoRR Krish Kabra, Guha Balakrishnan
2023	J	`jnl`	GELDA: A generative language annotation framework to reveal visual biases in datasets. CoRR Krish Kabra, Kathleen M. Lewis, Guha Balakrishnan
2023	Misc	`conf`	Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. ACSSC Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe
2023	J	`jnl`	Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. CoRR Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe
2023	J	`jnl`	MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations. CoRR Mike Wong, Murali Ramanujam, Guha Balakrishnan, Ravi Netravali
2023	A*	`conf`	SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries. CVPR Ahmed Imtiaz Humayun, Randall Balestriero, Guha Balakrishnan, Richard G. Baraniuk
2023	J	`jnl`	SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries. CoRR Ahmed Imtiaz Humayun, Randall Balestriero, Guha Balakrishnan, Richard G. Baraniuk
2023	J	`jnl`	Towards causally linking architectural parametrizations to algorithmic bias in neural networks. CoRR Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan
2023	J	`jnl`	Visualizing chest X-ray dataset biases using GANs. CoRR Hao Liang, Kevin Ni, Guha Balakrishnan
2023	A*	`conf`	WIRE: Wavelet Implicit Neural Representations. CVPR Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk
2023	J	`jnl`	WIRE: Wavelet Implicit Neural Representations. CoRR Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk
2023	J	`jnl`	X-ray Recognition: Patient identification from X-rays using a contrastive objective. CoRR Hao Liang, Kevin Ni, Guha Balakrishnan
2022	A*	`conf`	Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. CVPR Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell
2022	J	`jnl`	Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. CoRR Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell
2022	—	`conf`	MINER: Multiscale Implicit Neural Representation. ECCV (23) Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan
2022	J	`jnl`	MINER: Multiscale Implicit Neural Representations. CoRR Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan
2022	J	`jnl`	Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features. CoRR Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona
2022	—	`conf`	Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features. ECCV (17) Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona
2021	A*	`conf`	Better Aggregation in Test-Time Augmentation. ICCV Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag
2021	J	`jnl`	Matched sample selection with GANs for mitigating attribute confounding. CoRR Chandan Singh, Guha Balakrishnan, Pietro Perona
2020	A*	`conf`	Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CVPR Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
2020	J	`jnl`	Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CoRR Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
2020	—	`conf`	Towards Causal Benchmarking of Bias in Face Analysis Algorithms. ECCV (18) Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona
2020	J	`jnl`	Towards causal benchmarking of bias in face analysis algorithms. CoRR Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona
2020	J	`jnl`	When and Why Test-Time Augmentation Works. CoRR Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag
2019	A*	`conf`	Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. CVPR Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
2019	J	`jnl`	Data augmentation using learned transforms for one-shot medical image segmentation. CoRR Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
2019	J	`jnl`	Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces. CoRR Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2019	J	`jnl`	Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces. Medical Image Anal. Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2019	A*	`conf`	Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. ICCV Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman
2019	J	`jnl`	Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. CoRR Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman
2019	J	`jnl`	VoxelMorph: A Learning Framework for Deformable Medical Image Registration. IEEE Trans. Medical Imaging Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2018	A*	`conf`	An Unsupervised Learning Model for Deformable Medical Image Registration. CVPR Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2018	J	`jnl`	An Unsupervised Learning Model for Deformable Medical Image Registration. CoRR Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2018	J	`jnl`	Fast Learning-based Registration of Sparse Clinical Images. CoRR Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John V. Guttag, Adrian V. Dalca
2018	A*	`conf`	Synthesizing Images of Humans in Unseen Poses. CVPR Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag
2018	J	`jnl`	Synthesizing Images of Humans in Unseen Poses. CoRR Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag
2018	—	`conf`	Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. MICCAI (1) Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2018	J	`jnl`	Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. CoRR Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2018	J	`jnl`	VoxelMorph: A Learning Framework for Deformable Medical Image Registration. CoRR Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2017	—	`conf`	A Video-Based Method for Automatically Rating Ataxia. MLHC Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, Frédo Durand, John V. Guttag
2016	J	`jnl`	A Video-Based Method for Objectively Rating Ataxia. CoRR Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, John V. Guttag, Frédo Durand
2015	J	`jnl`	Video diff: highlighting differences between similar actions in videos. ACM Trans. Graph. Guha Balakrishnan, Frédo Durand, John V. Guttag
2013	A*	`conf`	Detecting Pulse from Head Motions in Video. CVPR Guha Balakrishnan, Frédo Durand, John V. Guttag
2012	A	`conf`	Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection. AISTATS Guha Balakrishnan, Zeeshan Syed
2011	—	`conf`	Scalable customization of atrial fibrillation detection in cardiac monitoring devices: Increasing detection accuracy through personalized monitoring in large patient populations. EMBC Kuk Jin Jang, Guha Balakrishnan, Zeeshan Syed, Naveen Verma
2010	—	`conf`	Scalable personalized medicine with active learning: detecting seizures with minimum labeled data. IHI Guha Balakrishnan, Zeeshan Syed
2010	A*	`conf`	Strategy and mechanism lessons from the first ad auctions trading agent competition. EC Patrick R. Jordan, Michael P. Wellman, Guha Balakrishnan