publications

selected papers by research theme

  Neural Signal & Scene Representations

Scalable neural representations for natural and scientific signals and scenes, with emphasis on coordinate networks.
Selected papers
  Medical Imaging

AI algorithms for medical image analysis, including registration, segmentation, and uncertainty quantification.
Selected papers
  Geospatial AI

AI for geospatial sensing, with a focus on multi-modal data fusion.
Selected papers
  Trustworthy AI

Reliability and bias analysis of AI systems, through conformal prediction, causal benchmarking, and functional probing.
Selected papers

all papers in reverse chronological order

Please visit my Google Scholar page for a fully up-to-date list.

2026

  1. arXiv
    Splatshot: 3D Face Avatar Generation from a Single Unconstrained Photo
    Hao Liang, Zhixuan Ge, Soumendu Majee, and 3 more authors
    arXiv preprint arXiv:2606.01493, 2026
    Website
  2. MedIA
    FPGL: A Meta-Learned Implicit Neural Representation Framework for Medical Image Segmentation
    Kushal Vyas, Daniel Kim, Tucker Netherton, and 2 more authors
    Medical Image Analysis (MedIA), 2026
    HTML
  3. MICCAI
    Echo-SCAR: Temporal Feature Learning for Myocardial Scar Detection from Routine Echocardiography
    Mansoor Shehzad, Arion Yu, Eman Nayaz, and 4 more authors
    In Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2026
    HTML
  4. MICCAI
    Proxy-CAC: Learning Coronary Calcium Segmentation from Volume-Level Scores
    Sandra Emi Sato Imuro, Salman Siddique Khan, Guha Balakrishnan, and 3 more authors
    In Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2026
    HTML
  5. MICCAI
    Efficient Conformal Volumetry for Template-Based Segmentation
    Matt Y. Cheung, Ashok Veeraraghavan, and Guha Balakrishnan
    In Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2026
    HTML
  6. EMNLP
    Conformal Certification of Reasoning Trace Prefixes
    Matt Y. Cheung, Ashok Veeraraghavan, Hanjie Chen, and 1 more author
    In Empirical Methods in Natural Language Processing (EMNLP), 2026
    arXiv
  7. CVPRW
    Fast Amortized Fitting of Scientific Signals Across Time and Ensembles via Transferable Neural Fields
    Sophia Zorek, Kushal Vyas, Yuhao Liu, and 3 more authors
    In CVPR Workshop on 3D4Science, 2026
    arXiv
  8. ISBI
    Bias-Aware Conformal Prediction for Metric-Based Imaging Pipelines
    Matt Y. Cheung, Tucker J. Netherton, Laurence E. Court, and 2 more authors
    In IEEE International Symposium on Biomedical Imaging (ISBI), 2026
    arXiv
  9. CVPR
    The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations
    Kushal Vyas, Alper Kayabasi, Daniel Kim, and 3 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
    Website
  10. CVPR
    Generating Humanless Environment Walkthroughs from Egocentric Walking Tour Videos
    Yujin Ham, Junho Kim, Vivek Boominathan, and 1 more author
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
    Website
  11. ICLR
    COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics
    Matt Y. Cheung, Ashok Veeraraghavan, and Guha Balakrishnan
    In International Conference on Learning Representations (ICLR), 2026
    HTML
  12. ICLR
    GIQ: Benchmarking 3D Geometric Reasoning of Vision Foundation Models with Simulated and Real Polyhedra
    Mat Michalkiewicz, Anekha Sokhal, Tadeusz Michalkiewicz, and 4 more authors
    In International Conference on Learning Representations (ICLR), 2026
    Website
  13. IJCV
    Taming Data and Transformers for Audio Generation
    Moayed Haji-Ali, Willi Menapace, Aliaksandr Siarohin, and 2 more authors
    International Journal of Computer Vision (IJCV), 2026
    Website
  14. TMLR
    FastAvatar: Single-Image 3D Gaussian Face Avatars through Canonical Template and Residual Learning
    Hao Liang, Zhixuan Ge, Ashish Tiwari, and 4 more authors
    Transactions on Machine Learning Research (TMLR), 2026
    HTML Website
  15. ICCP
    TranSplat: Instant Object Relighting in Gaussian Splatting via Spherical Harmonic Radiance Transfer
    Boyang Tony Yu, Yanlin Jin, Yun He, and 3 more authors
    In IEEE International Conference on Computational Photography (ICCP), 2026
    Website

2025

  1. CVPRW
    Alpine: A Flexible, User-Friendly, and Distributed PyTorch Library for Implicit Neural Representation Development
    Kushal Vyas, Vishwanath Saragadam, Ashok Veeraraghavan, and 1 more author
    In CVPR Workshop on Neural Fields Beyond Conventional Cameras, 2025
    Code
  2. MICCAI
    Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation
    Kushal Vyas, Ashok Veeraraghavan, and Guha Balakrishnan
    In Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
    Website Best Paper Award
  3. CVPR
    Bias for Action: Video Implicit Neural Representations with Bias Modulation
    Alper Kayabasi, Anil Kumar Vadathya, Guha Balakrishnan, and 1 more author
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
    Website
  4. ICCV
    Not All Views Are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models
    Mat Michalkiewicz, Sheena Bai, Mahsa Baktashmotlagh, and 2 more authors
    In IEEE/CVF International Conference on Computer Vision (ICCV), 2025
    arXiv HTML
  5. CAICE
    Debris Segmentation Using Post-Hurricane Aerial Imagery
    Kooshan Amini, Yuhao Liu, Jamie E. Padgett, and 2 more authors
    Computer-Aided Civil and Infrastructure Engineering (CAICE), 2025
    arXiv HTML
  6. MICCAIW
    Metric-Guided Conformal Bounds for Probabilistic Image Reconstruction
    Matt Y. Cheung, Tucker J. Netherton, Laurence E. Court, and 2 more authors
    In MICCAI Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2025
    arXiv
  7. arXiv
    GVit: Representing Images as Gaussians for Visual Recognition
    Jefferson Hernandez, Ruozhen He, Guha Balakrishnan, and 2 more authors
    arXiv preprint, 2025
    arXiv
  8. ISBI
    Classifying Coronary Artery Calcification Risk Using Radiomics from Non-Gated CT Scans
    Sandra E. S. Imuro, Salman Siddique Khan, Eman Nayaz Ahmed, and 4 more authors
    In IEEE International Symposium on Biomedical Imaging (ISBI), 2025
    HTML
  9. ISBI
    When Are Diffusion Priors Helpful in Sparse Reconstruction?
    Matt Y. Cheung, Sophia Zorek, Tucker J. Netherton, and 4 more authors
    In IEEE International Symposium on Biomedical Imaging (ISBI), 2025
    arXiv
  10. TGRS
    Downscaling Extreme Precipitation with Wasserstein Regularized Diffusion
    Yuhao Liu, James Doss-Gollin, Qiushi Dai, and 2 more authors
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025
    arXiv HTML

2024

  1. NeurIPS
    Learning Transferable Features for Implicit Neural Representations
    Kushal Vyas, Vishwanath Saragadam, Ashok Veeraraghavan, and 1 more author
    In Advances in Neural Information Processing Systems (NeurIPS), 2024
    Website
  2. CVPR
    ElasticDiffusion: Training-Free Arbitrary Size Image Generation
    Moayed Haji-Ali, Guha Balakrishnan, and Vicente Ordonez
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    Website
  3. CVPRW
    GELDA: A Generative Language Annotation Framework to Reveal Visual Biases in Datasets
    Krish Kabra, Kathleen M. Lewis, and Guha Balakrishnan
    In CVPR Workshop on Responsible Generative AI, 2024
    HTML Website Best Paper
  4. CVPRW
    F?D: On Understanding the Role of Deep Feature Spaces on Face Generation Evaluation
    Krish Kabra and Guha Balakrishnan
    In CVPR Workshop on Responsible Generative AI, 2024
    Website
  5. ICCP
    DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction
    Yujin Ham, Mat Michalkiewicz, and Guha Balakrishnan
    In IEEE International Conference on Computational Photography (ICCP), 2024
    Website
  6. WACV
    Linking Convolutional Kernel Size to Generalization Bias in Face Analysis CNNs
    Hao Liang, Josue Ortega Caro, Vikram Maheshri, and 2 more authors
    In IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
    arXiv HTML
  7. NSDI
    MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations
    Mike Wong, Murali Ramanujam, Guha Balakrishnan, and 1 more author
    In USENIX Symposium on Networked Systems Design and Implementation, 2024
    arXiv HTML
  8. RadOncol
    Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications
    Kareem A. Wahid, Zaphanlene Y. Kaffey, David P. Farris, and 11 more authors
    Radiotherapy and Oncology, 2024
    HTML
  9. RSA
    ISLAND: Interpolating Land Surface Temperature Using Land Cover
    Yuhao Liu, Pranavesh Panakkal, Sylvia G. Dee, and 3 more authors
    Remote Sensing Applications: Society and Environment, 2024
    HTML Code
  10. arXiv
    DifR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Biplanar X-Rays
    Yiran Sun, Hana Baroudi, Tucker J. Netherton, and 4 more authors
    arXiv preprint, 2024
    arXiv
  11. arXiv
    Fairness and Bias Mitigation in Computer Vision: A Survey
    Sepehr Dehdashtian, Ruozhen He, Yi Li, and 4 more authors
    arXiv preprint, 2024
    arXiv

2023

  1. CVPR
    WIRE: Wavelet Implicit Neural Representations
    Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, and 3 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    Website
  2. CVPR
    SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries
    Ahmed Imtiaz Humayun, Randall Balestriero, Guha Balakrishnan, and 1 more author
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    Website
  3. ICCV
    Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Judges
    Hao Liang, Pietro Perona, and Guha Balakrishnan
    In IEEE/CVF International Conference on Computer Vision (ICCV), 2023
    Website
  4. MICCAIW
    CT Reconstruction from Few Planar X-Rays with Application Towards Low-Resource Radiotherapy
    Yiran Sun, Tucker J. Netherton, Laurence E. Court, and 2 more authors
    In MICCAI Workshop on Deep Generative Models, 2023
    arXiv
  5. Asilomar
    Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations
    Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, and 1 more author
    In Asilomar Conference on Signals, Systems, and Computers, 2023
    arXiv
  6. MIDL
    Visualizing Chest X-Ray Dataset Biases Using GANs
    Hao Liang, Kangqi Ni, and Guha Balakrishnan
    In Medical Imaging with Deep Learning, short paper track, 2023
    HTML

2022

  1. ECCV
    MINER: Multiscale Implicit Neural Representations
    Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, and 2 more authors
    In European Conference on Computer Vision (ECCV), 2022
    Website
  2. ECCV
    Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features
    Guha Balakrishnan, Raghudeep Gadde, Aleix M. Martinez, and 1 more author
    In European Conference on Computer Vision (ECCV), 2022
    arXiv Code
  3. CVPR
    Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers
    Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, and 4 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    arXiv

2021

  1. ICCV
    Better Aggregation in Test-Time Augmentation
    Divya Shanmugam, Davis Blalock, Guha Balakrishnan, and 1 more author
    In IEEE/CVF International Conference on Computer Vision (ICCV), 2021
    HTML
  2. NeurIPS W
    Finding Maximally Informative Patches in Images
    Howard Zhong, Guha Balakrishnan, Richard S. Bowen, and 2 more authors
    In NeurIPS Workshop on Deep Generative Models and Downstream Applications, 2021
    HTML
  3. arXiv
    Matched Sample Selection with GANs for Mitigating Attribute Confounding
    Chandan Singh, Guha Balakrishnan, and Pietro Perona
    arXiv preprint, 2021
    arXiv

2020

  1. ECCV
    Towards Causal Benchmarking of Bias in Face Analysis Algorithms
    Guha Balakrishnan, Yuanjun Xiong, Wei Xia, and 1 more author
    In European Conference on Computer Vision (ECCV), 2020
    arXiv Code
  2. CVPR
    Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
    Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, and 3 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
    Website

2019

  1. TMI
    VoxelMorph: A Learning Framework for Deformable Medical Image Registration
    Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, and 2 more authors
    IEEE Transactions on Medical Imaging (TMI), 2019
    DOI arXiv
  2. MedIA
    Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
    Adrian V. Dalca, Guha Balakrishnan, John Guttag, and 1 more author
    Medical Image Analysis (MedIA), 2019
    DOI arXiv
  3. CVPR
    Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation
    Amy Zhao, Guha Balakrishnan, Frédo Durand, and 2 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
    HTML
  4. ICCV
    Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
    Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, and 3 more authors
    In IEEE/CVF International Conference on Computer Vision (ICCV), 2019
    HTML

2018

  1. CVPR
    An Unsupervised Learning Model for Deformable Medical Image Registration
    Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, and 2 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018
    arXiv HTML
  2. CVPR
    Synthesizing Images of Humans in Unseen Poses
    Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, and 2 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018
    HTML
  3. MICCAI
    Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
    Adrian V. Dalca, Guha Balakrishnan, John Guttag, and 1 more author
    In Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2018
    arXiv Young Scientist Impact Award

2017

  1. ML4H
    A Video-Based Method for Automatically Rating Ataxia
    Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, and 4 more authors
    In Machine Learning for Healthcare Conference, 2017
    arXiv HTML

2015

  1. TOG
    Video Diff: Highlighting Differences Between Similar Actions in Videos
    Guha Balakrishnan, Frédo Durand, and John Guttag
    ACM Transactions on Graphics (TOG), 2015
    HTML

2013

  1. CVPR
    Detecting Pulse from Head Motions in Video
    Guha Balakrishnan, Frédo Durand, and John Guttag
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2013
    HTML
  2. Sloan
    To Crash or Not to Crash: A Quantitative Look at the Relationship Between Offensive Rebounding and Transition Defense in the NBA
    Jenna Wiens, Guha Balakrishnan, Joel Brooks, and 1 more author
    In MIT Sloan Sports Analytics Conference, 2013
    HTML

2012

  1. AISTATS
    Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection
    Guha Balakrishnan and Zeeshan Syed
    In International Conference on Artificial Intelligence and Statistics, 2012
    HTML

2011

  1. EMBC
    Scalable Customization of Atrial Fibrillation Detection in Cardiac Monitoring Devices
    Kuk Jin Jang, Guha Balakrishnan, Zeeshan Syed, and 1 more author
    In IEEE Engineering in Medicine and Biology Conference, 2011
    HTML

2010

  1. ACM EC
    Strategy and Mechanism Lessons from the First Ad Auctions Trading Agent Competition
    Patrick R. Jordan, Michael P. Wellman, and Guha Balakrishnan
    In ACM Conference on Electronic Commerce, 2010
    HTML
  2. ACM HI
    Scalable Personalized Medicine with Active Learning
    Guha Balakrishnan and Zeeshan Syed
    In ACM International Health Informatics Symposium, 2010
    HTML
  3. EMBC
    Creating Symbolic Representations of Electroencephalographic Signals
    Guha Balakrishnan, Ali Shoeb, and Zeeshan Syed
    In IEEE Engineering in Medicine and Biology Conference, 2010
    HTML