publications

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

   arXiv Bib

   @article{liang2026splatshot,
     title = {Splatshot: {3D} Face Avatar Generation from a Single Unconstrained Photo},
     author = {Liang, Hao and Ge, Zhixuan and Majee, Soumendu and Li, Joanna and Veeraraghavan, Ashok and Balakrishnan, Guha},
     journal = {arXiv preprint arXiv:2606.01493},
     year = {2026},
   }

2. arXiv

   Conformal Certification of Reasoning Trace Prefixes

   Matt Y. Cheung, Ashok Veeraraghavan, Hanjie Chen, and 1 more author

   arXiv preprint arXiv:2605.30085, 2026

   arXiv Bib

   @article{cheung2026conformal,
     title = {Conformal Certification of Reasoning Trace Prefixes},
     author = {Cheung, Matt Y. and Veeraraghavan, Ashok and Chen, Hanjie and Balakrishnan, Guha},
     journal = {arXiv preprint arXiv:2605.30085},
     year = {2026},
   }

3. arXiv

   GeoViSTA: Geospatial Vision-Tabular Transformer for Multimodal Environment Representation

   Yuhao Liu, Sadeer Al-Kindi, Ashok Veeraraghavan, and 1 more author

   arXiv preprint arXiv:2605.14406, 2026

   arXiv Bib

   @article{liu2026geovista,
     title = {{GeoViSTA}: Geospatial Vision-Tabular Transformer for Multimodal Environment Representation},
     author = {Liu, Yuhao and Al-Kindi, Sadeer and Veeraraghavan, Ashok and Balakrishnan, Guha},
     journal = {arXiv preprint arXiv:2605.14406},
     year = {2026},
   }

4. 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 Bib

   @inproceedings{zorek2026fast,
     title = {Fast Amortized Fitting of Scientific Signals Across Time and Ensembles via Transferable Neural Fields},
     author = {Zorek, Sophia and Vyas, Kushal and Liu, Yuhao and Lenz, David and Peterka, Tom and Balakrishnan, Guha},
     booktitle = {CVPR Workshop on 3D4Science},
     year = {2026},
   }

5. 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, 2026

   arXiv Bib

   @inproceedings{cheung2026biasaware,
     title = {Bias-Aware Conformal Prediction for Metric-Based Imaging Pipelines},
     author = {Cheung, Matt Y. and Netherton, Tucker J. and Court, Laurence E. and Veeraraghavan, Ashok and Balakrishnan, Guha},
     booktitle = {IEEE International Symposium on Biomedical Imaging},
     year = {2026},
   }

6. arXiv

   EgoGroups: A Benchmark for Detecting Social Groups of People in the Wild

   Jeffri Murrugarra-Llerena, Pranav Chitale, Zicheng Liu, and 4 more authors

   arXiv preprint arXiv:2603.22249, 2026

   arXiv Bib

   @article{murrugarra2026egogroups,
     title = {{EgoGroups}: A Benchmark for Detecting Social Groups of People in the Wild},
     author = {Murrugarra-Llerena, Jeffri and Chitale, Pranav and Liu, Zicheng and Ao, Kai and Ham, Yujin and Balakrishnan, Guha and Cascante-Bonilla, Paola},
     journal = {arXiv preprint arXiv:2603.22249},
     year = {2026},
   }

7. arXiv

   Efficient Conformal Volumetry for Template-Based Segmentation

   Matt Y. Cheung, Ashok Veeraraghavan, and Guha Balakrishnan

   arXiv preprint, 2026

   Bib

   @article{cheung2026efficient,
     title = {Efficient Conformal Volumetry for Template-Based Segmentation},
     author = {Cheung, Matt Y. and Veeraraghavan, Ashok and Balakrishnan, Guha},
     journal = {arXiv preprint},
     year = {2026},
   }

8. Circulation

   Deep Learning-Based BNP Classification from Single-Lead ECG

   Mohammad Alkhaleefah and others

   Circulation, 2026

   Bib

   @article{alkhaleefah2026bnp,
     title = {Deep Learning-Based {BNP} Classification from Single-Lead {ECG}},
     author = {Alkhaleefah, Mohammad and others},
     journal = {Circulation},
     year = {2026},
   }

9. Circulation

   AI-Derived Cardiac Morphometrics from CAC CT for Heart Failure Risk Prediction

   Mohammad Alkhaleefah and others

   Circulation, 2026

   Bib

   @article{alkhaleefah2026cardiac,
     title = {{AI}-Derived Cardiac Morphometrics from {CAC CT} for Heart Failure Risk Prediction},
     author = {Alkhaleefah, Mohammad and others},
     journal = {Circulation},
     year = {2026},
   }

10. CVPR

    The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations

    Kushal Vyas, Alper Kayabasi, Daniel Kim, and 3 more authors

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026

    arXiv Bib Website

    @inproceedings{vyas2026noise,
      title = {The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations},
      author = {Vyas, Kushal and Kayabasi, Alper and Kim, Daniel and Saragadam, Vishwanath and Veeraraghavan, Ashok and Balakrishnan, Guha},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      year = {2026},
    }

11. CVPR

    Generating Humanless Environment Walkthroughs from Egocentric Walking Tour Videos

    Yujin Ham, Junho Kim, Vivek Boominathan, and 1 more author

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026

    Bib Website

    @inproceedings{ham2026humanless,
      title = {Generating Humanless Environment Walkthroughs from Egocentric Walking Tour Videos},
      author = {Ham, Yujin and Kim, Junho and Boominathan, Vivek and Balakrishnan, Guha},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      year = {2026},
    }

12. ICLR

    COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics

    Matt Y. Cheung, Ashok Veeraraghavan, and Guha Balakrishnan

    In International Conference on Learning Representations, 2026

    Bib HTML

    @inproceedings{cheung2026compass,
      title = {{COMPASS}: Robust Feature Conformal Prediction for Medical Segmentation Metrics},
      author = {Cheung, Matt Y. and Veeraraghavan, Ashok and Balakrishnan, Guha},
      booktitle = {International Conference on Learning Representations},
      year = {2026},
    }

13. 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, 2026

    arXiv Bib Website

    @inproceedings{michalkiewicz2026giq,
      title = {{GIQ}: Benchmarking {3D} Geometric Reasoning of Vision Foundation Models with Simulated and Real Polyhedra},
      author = {Michalkiewicz, Mat and Sokhal, Anekha and Michalkiewicz, Tadeusz and Pawlikowski, Piotr and Baktashmotlagh, Mahsa and Jampani, Varun and Balakrishnan, Guha},
      booktitle = {International Conference on Learning Representations},
      year = {2026},
    }

14. IJCV

    Taming Data and Transformers for Audio Generation

    Moayed Haji-Ali, Willi Menapace, Aliaksandr Siarohin, and 2 more authors

    International Journal of Computer Vision, 2026

    Bib Website

    @article{hajialiTaming2026,
      title = {Taming Data and Transformers for Audio Generation},
      author = {Haji-Ali, Moayed and Menapace, Willi and Siarohin, Aliaksandr and Balakrishnan, Guha and Ordonez, Vicente},
      journal = {International Journal of Computer Vision},
      volume = {134},
      number = {3},
      year = {2026},
    }

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

   Bib Code

   @inproceedings{vyas2025alpine,
     title = {Alpine: A Flexible, User-Friendly, and Distributed {PyTorch} Library for Implicit Neural Representation Development},
     author = {Vyas, Kushal and Saragadam, Vishwanath and Veeraraghavan, Ashok and Balakrishnan, Guha},
     booktitle = {CVPR Workshop on Neural Fields Beyond Conventional Cameras},
     year = {2025},
   }

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, 2025

   Best Paper Award Bib Website

   Best Paper Award at MICCAI 2025

   @inproceedings{vyas2025fitpixels,
     title = {Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation},
     author = {Vyas, Kushal and Veeraraghavan, Ashok and Balakrishnan, Guha},
     booktitle = {Medical Image Computing and Computer-Assisted Intervention},
     year = {2025},
   }

3. CVPR

   Bias for Action: Video Implicit Neural Representations with Bias Modulation

   Alper Kayabasi, Anil Kumar Vadathya, Guha Balakrishnan, and 1 more author

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

   arXiv Bib Website

   @inproceedings{kayabasi2025bias,
     title = {Bias for Action: Video Implicit Neural Representations with Bias Modulation},
     author = {Kayabasi, Alper and Vadathya, Anil Kumar and Balakrishnan, Guha and Saragadam, Vishwanath},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     year = {2025},
   }

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 Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

   arXiv Bib HTML

   @inproceedings{michalkiewicz2025views,
     title = {Not All Views Are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models},
     author = {Michalkiewicz, Mat and Bai, Sheena and Baktashmotlagh, Mahsa and Jampani, Varun and Balakrishnan, Guha},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     year = {2025},
   }

5. Asilomar

   Learning Efficient Implicit Neural Representations for Low Data Settings with Structured Noise

   Kushal Vyas, Ashok Veeraraghavan, and Guha Balakrishnan

   In Asilomar Conference on Signals, Systems, and Computers, 2025

   Bib

   @inproceedings{vyas2025asilomar,
     title = {Learning Efficient Implicit Neural Representations for Low Data Settings with Structured Noise},
     author = {Vyas, Kushal and Veeraraghavan, Ashok and Balakrishnan, Guha},
     booktitle = {Asilomar Conference on Signals, Systems, and Computers},
     year = {2025},
   }

6. MedPhys

   Latent Diffusion for 3D CT Reconstruction from Biplanar X-Rays

   Yiran Sun, Guha Balakrishnan, Ashok Veeraraghavan, and 1 more author

   Medical Physics, 2025

   Bib

   @article{sun2025latent,
     title = {Latent Diffusion for {3D CT} Reconstruction from Biplanar {X}-Rays},
     author = {Sun, Yiran and Balakrishnan, Guha and Veeraraghavan, Ashok and Mawlawi, Osama R.},
     journal = {Medical Physics},
     year = {2025},
   }

7. 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, 2025

   arXiv Bib

   @article{amini2025debris,
     title = {Debris Segmentation Using Post-Hurricane Aerial Imagery},
     author = {Amini, Kooshan and Liu, Yuhao and Padgett, Jamie E. and Balakrishnan, Guha and Veeraraghavan, Ashok},
     journal = {Computer-Aided Civil and Infrastructure Engineering},
     volume = {40},
     number = {25},
     year = {2025},
   }

8. 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 Bib

   @inproceedings{cheung2025metric,
     title = {Metric-Guided Conformal Bounds for Probabilistic Image Reconstruction},
     author = {Cheung, Matt Y. and Netherton, Tucker J. and Court, Laurence E. and Veeraraghavan, Ashok and Balakrishnan, Guha},
     booktitle = {MICCAI Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging},
     year = {2025},
   }

9. arXiv

   FastAvatar: Instant 3D Gaussian Splatting for Faces from Single Unconstrained Poses

   Hao Liang, Zhixuan Ge, Ashish Tiwari, and 4 more authors

   arXiv preprint, 2025

   Bib Website

   @article{liang2025fastavatar,
     title = {{FastAvatar}: Instant {3D} Gaussian Splatting for Faces from Single Unconstrained Poses},
     author = {Liang, Hao and Ge, Zhixuan and Tiwari, Ashish and Majee, Soumendu and Godaliyadda, G. M. Dilshan and Veeraraghavan, Ashok and Balakrishnan, Guha},
     journal = {arXiv preprint},
     year = {2025},
   }

10. arXiv

    GVit: Representing Images as Gaussians for Visual Recognition

    Jefferson Hernandez, Ruozhen He, Guha Balakrishnan, and 2 more authors

    arXiv preprint, 2025

    arXiv Bib

    @article{hernandez2025gvit,
      title = {{GVit}: Representing Images as {Gaussians} for Visual Recognition},
      author = {Hernandez, Jefferson and He, Ruozhen and Balakrishnan, Guha and Berg, Alexander C. and Ordonez, Vicente},
      journal = {arXiv preprint},
      year = {2025},
    }

11. PRD

    PARQ: A Complexity-Consensus Aware Automatic Assessment of Motor Disease Severity in Parkinson’s Disease

    Isha Chakraborty, Kaitlyn Trushenski, Salman Siddique Khan, and 8 more authors

    Parkinsonism & Related Disorders, 2025

    Bib

    @article{chakraborty2025parkinson,
      title = {{PARQ}: A Complexity-Consensus Aware Automatic Assessment of Motor Disease Severity in {Parkinson's} Disease},
      author = {Chakraborty, Isha and Trushenski, Kaitlyn and Khan, Salman Siddique and Taneff, Yutong and Tarakad, Arjun and Anandan, Charenya and Bellows, Steven Thomas and Yilmaz, Abdullah Yasir and Balakrishnan, Guha and Vanegas-Arroyave, Nora and Sabharwal, Ashutosh},
      journal = {Parkinsonism \& Related Disorders},
      year = {2025},
    }

12. 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, 2025

    DOI Bib HTML

    @inproceedings{imuro2025cac,
      title = {Classifying Coronary Artery Calcification Risk Using Radiomics from Non-Gated {CT} Scans},
      author = {Imuro, Sandra E. S. and Khan, Salman Siddique and Ahmed, Eman Nayaz and Sarda, Deeksha and Balakrishnan, Guha and Al-Kindi, Sadeer G. and Sabharwal, Ashutosh},
      booktitle = {IEEE International Symposium on Biomedical Imaging},
      year = {2025},
      doi = {10.1109/ISBI60581.2025.10980918},
    }

13. 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, 2025

    arXiv Bib

    @inproceedings{cheung2025sparse,
      title = {When Are Diffusion Priors Helpful in Sparse Reconstruction?},
      author = {Cheung, Matt Y. and Zorek, Sophia and Netherton, Tucker J. and Court, Laurence E. and Al-Kindi, Sadeer and Veeraraghavan, Ashok and Balakrishnan, Guha},
      booktitle = {IEEE International Symposium on Biomedical Imaging},
      year = {2025},
    }

14. JACC

    ECG-CAC: AI-Based Model for Predicting Coronary Artery Calcium Burden from 12-Lead ECG Images

    Mohammad Alkhaleefah and others

    Journal of the American College of Cardiology, 2025

    Bib HTML

    @article{alkhaleefah2025ecg,
      title = {{ECG-CAC}: {AI}-Based Model for Predicting Coronary Artery Calcium Burden from 12-Lead {ECG} Images},
      author = {Alkhaleefah, Mohammad and others},
      journal = {Journal of the American College of Cardiology},
      year = {2025},
    }

15. arXiv

    TranSplat: Instant Cross-Scene Object Relighting in Gaussian Splatting via Spherical Harmonic Transfer

    Boyang Yu, Yanlin Jin, Yun He, and 3 more authors

    arXiv preprint, 2025

    arXiv Bib Website

    @article{yu2025transplat,
      title = {{TranSplat}: Instant Cross-Scene Object Relighting in {Gaussian} Splatting via Spherical Harmonic Transfer},
      author = {Yu, Boyang and Jin, Yanlin and He, Yun and Dave, Akshat and Ramamoorthi, Ravi and Balakrishnan, Guha},
      journal = {arXiv preprint},
      year = {2025},
    }

16. 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, 2025

    arXiv Bib HTML

    @article{liu2024precipitation,
      title = {Downscaling Extreme Precipitation with {Wasserstein} Regularized Diffusion},
      author = {Liu, Yuhao and Doss-Gollin, James and Dai, Qiushi and Veeraraghavan, Ashok and Balakrishnan, Guha},
      journal = {IEEE Transactions on Geoscience and Remote Sensing},
      year = {2025},
    }

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, 2024

   Bib Website

   @inproceedings{vyas2024transferable,
     title = {Learning Transferable Features for Implicit Neural Representations},
     author = {Vyas, Kushal and Saragadam, Vishwanath and Veeraraghavan, Ashok and Balakrishnan, Guha},
     booktitle = {Advances in Neural Information Processing Systems},
     year = {2024},
   }

2. CVPR

   ElasticDiffusion: Training-Free Arbitrary Size Image Generation

   Moayed Haji-Ali, Guha Balakrishnan, and Vicente Ordonez

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

   Bib Website

   @inproceedings{hajialiElastic2024,
     title = {{ElasticDiffusion}: Training-Free Arbitrary Size Image Generation},
     author = {Haji-Ali, Moayed and Balakrishnan, Guha and Ordonez, Vicente},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     year = {2024},
   }

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

   Best Paper Bib HTML Website

   Best Paper Award

   @inproceedings{kabra2024gelda,
     title = {{GELDA}: A Generative Language Annotation Framework to Reveal Visual Biases in Datasets},
     author = {Kabra, Krish and Lewis, Kathleen M. and Balakrishnan, Guha},
     booktitle = {CVPR Workshop on Responsible Generative AI},
     year = {2024},
   }

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

   arXiv Bib Website

   @inproceedings{kabra2024fd,
     title = {{F?D}: On Understanding the Role of Deep Feature Spaces on Face Generation Evaluation},
     author = {Kabra, Krish and Balakrishnan, Guha},
     booktitle = {CVPR Workshop on Responsible Generative AI},
     year = {2024},
   }

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, 2024

   Bib Website

   @inproceedings{ham2024dragon,
     title = {{DRAGON}: Drone and Ground {Gaussian} Splatting for {3D} Building Reconstruction},
     author = {Ham, Yujin and Michalkiewicz, Mat and Balakrishnan, Guha},
     booktitle = {IEEE International Conference on Computational Photography},
     year = {2024},
   }

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 Bib HTML

   @inproceedings{liang2024linking,
     title = {Linking Convolutional Kernel Size to Generalization Bias in Face Analysis {CNNs}},
     author = {Liang, Hao and {Ortega Caro}, Josue and Maheshri, Vikram and Patel, Ankit B. and Balakrishnan, Guha},
     booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
     year = {2024},
   }

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 Bib HTML

   @inproceedings{wong2024madeye,
     title = {{MadEye}: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations},
     author = {Wong, Mike and Ramanujam, Murali and Balakrishnan, Guha and Netravali, Ravi},
     booktitle = {USENIX Symposium on Networked Systems Design and Implementation},
     year = {2024},
   }

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

   Bib HTML

   @article{wahid2024radiotherapy,
     title = {Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications},
     author = {Wahid, Kareem A. and Kaffey, Zaphanlene Y. and Farris, David P. and Humbert-Vidan, Laia and Moreno, Amy C. and Rasmussen, Mathis and Ren, Jintao and Naser, Mohamed A. and Netherton, Tucker J. and Korreman, Stine and Balakrishnan, Guha and Fuller, Clifton D. and Fuentes, David and Dohopolski, Michael J.},
     journal = {Radiotherapy and Oncology},
     year = {2024},
   }

9. IJROBP

   Uncertainty Quantification in Machine Learning Radiotherapy Applications

   Zachary Kaffey, Kareem A. Wahid, David P. Farris, and 8 more authors

   International Journal of Radiation Oncology, Biology, Physics, 2024

   Bib HTML

   @article{kaffey2024uncertainty,
     title = {Uncertainty Quantification in Machine Learning Radiotherapy Applications},
     author = {Kaffey, Zachary and Wahid, Kareem A. and Farris, David P. and Humbert-Vidan, Laia and Netherton, Tucker J. and Balakrishnan, Guha and Moreno, Amy C. and Naser, Mohamed A. and Fuller, Clifton D. and Fuentes, David and Dohopolski, Michael J.},
     journal = {International Journal of Radiation Oncology, Biology, Physics},
     year = {2024},
   }

10. 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

    Bib HTML Code

    @article{liu2024island,
      title = {{ISLAND}: Interpolating Land Surface Temperature Using Land Cover},
      author = {Liu, Yuhao and Panakkal, Pranavesh and Dee, Sylvia G. and Balakrishnan, Guha and Padgett, Jamie E. and Veeraraghavan, Ashok},
      journal = {Remote Sensing Applications: Society and Environment},
      year = {2024},
    }

11. 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 Bib

    @article{sun2024difr3ct,
      title = {{DifR3CT}: Latent Diffusion for Probabilistic {3D CT} Reconstruction from Biplanar {X}-Rays},
      author = {Sun, Yiran and Baroudi, Hana and Netherton, Tucker J. and Court, Laurence E. and Mawlawi, Osama and Veeraraghavan, Ashok and Balakrishnan, Guha},
      journal = {arXiv preprint},
      year = {2024},
    }

12. arXiv

    Fairness and Bias Mitigation in Computer Vision: A Survey

    Sepehr Dehdashtian, Ruozhen He, Yi Li, and 4 more authors

    arXiv preprint, 2024

    arXiv Bib

    @article{dehdashtian2024fairness,
      title = {Fairness and Bias Mitigation in Computer Vision: A Survey},
      author = {Dehdashtian, Sepehr and He, Ruozhen and Li, Yi and Balakrishnan, Guha and Vasconcelos, Nuno and Ordonez, Vicente and Boddeti, Vishnu Naresh},
      journal = {arXiv preprint},
      year = {2024},
    }

2023

1. CVPR

   WIRE: Wavelet Implicit Neural Representations

   Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, and 3 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

   Bib Website

   @inproceedings{saragadam2023wire,
     title = {{WIRE}: Wavelet Implicit Neural Representations},
     author = {Saragadam, Vishwanath and LeJeune, Daniel and Tan, Jasper and Balakrishnan, Guha and Veeraraghavan, Ashok and Baraniuk, Richard G.},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     year = {2023},
   }

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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

   Bib Website

   @inproceedings{humayun2023splinecam,
     title = {{SplineCam}: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries},
     author = {Humayun, Ahmed Imtiaz and Balestriero, Randall and Balakrishnan, Guha and Baraniuk, Richard G.},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     year = {2023},
   }

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 Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

   Bib Website

   @inproceedings{liang2023biasbench,
     title = {Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Judges},
     author = {Liang, Hao and Perona, Pietro and Balakrishnan, Guha},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     year = {2023},
   }

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 Bib

   @inproceedings{sun2023ct,
     title = {{CT} Reconstruction from Few Planar {X}-Rays with Application Towards Low-Resource Radiotherapy},
     author = {Sun, Yiran and Netherton, Tucker J. and Court, Laurence E. and Veeraraghavan, Ashok and Balakrishnan, Guha},
     booktitle = {MICCAI Workshop on Deep Generative Models},
     year = {2023},
   }

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 Bib

   @inproceedings{pirhayatifard2023improving,
     title = {Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations},
     author = {Pirhayatifard, Delaram and Toghani, Mohammad Taha and Balakrishnan, Guha and Uribe, C{\'e}sar A.},
     booktitle = {Asilomar Conference on Signals, Systems, and Computers},
     year = {2023},
   }

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

   Bib HTML

   @inproceedings{liang2023visualizing,
     title = {Visualizing Chest {X}-Ray Dataset Biases Using {GANs}},
     author = {Liang, Hao and Ni, Kangqi and Balakrishnan, Guha},
     booktitle = {Medical Imaging with Deep Learning, short paper track},
     year = {2023},
   }

7. arXiv

   X-Ray Recognition: Patient Identification from X-Rays Using a Contrastive Objective

   Hao Liang, Kevin Ni, and Guha Balakrishnan

   arXiv preprint, 2023

   arXiv Bib

   @article{liang2023xray,
     title = {{X}-Ray Recognition: Patient Identification from {X}-Rays Using a Contrastive Objective},
     author = {Liang, Hao and Ni, Kevin and Balakrishnan, Guha},
     journal = {arXiv preprint},
     year = {2023},
   }

2022

1. ECCV

   MINER: Multiscale Implicit Neural Representations

   Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, and 2 more authors

   In European Conference on Computer Vision, 2022

   Bib Website

   @inproceedings{saragadam2022miner,
     title = {{MINER}: Multiscale Implicit Neural Representations},
     author = {Saragadam, Vishwanath and Tan, Jasper and Balakrishnan, Guha and Baraniuk, Richard G. and Veeraraghavan, Ashok},
     booktitle = {European Conference on Computer Vision},
     year = {2022},
   }

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, 2022

   arXiv Bib Code

   @inproceedings{balakrishnan2022reds,
     title = {Rayleigh {EigenDirections} ({REDs}): Nonlinear {GAN} Latent Space Traversals for Multidimensional Features},
     author = {Balakrishnan, Guha and Gadde, Raghudeep and Martinez, Aleix M. and Perona, Pietro},
     booktitle = {European Conference on Computer Vision},
     year = {2022},
   }

3. CVPR

   Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers

   Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, and 4 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

   arXiv Bib

   @inproceedings{zietlow2022leveling,
     title = {Leveling Down in Computer Vision: {Pareto} Inefficiencies in Fair Deep Classifiers},
     author = {Zietlow, Dominik and Lohaus, Michael and Balakrishnan, Guha and Kleindessner, Matth{\"a}us and Locatello, Francesco and Sch{\"o}lkopf, Bernhard and Russell, Chris},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     year = {2022},
   }

2021

1. ICCV

   Better Aggregation in Test-Time Augmentation

   Divya Shanmugam, Davis Blalock, Guha Balakrishnan, and 1 more author

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021

   Bib HTML

   @inproceedings{shanmugam2021tta,
     title = {Better Aggregation in Test-Time Augmentation},
     author = {Shanmugam, Divya and Blalock, Davis and Balakrishnan, Guha and Guttag, John},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     year = {2021},
   }

2. NeurIPS W

   Finding Maximally Informative Patches in Images

   Howard Zhong, Guha Balakrishnan, Richard S. Bowen, and 2 more authors

   In NeurIPS Workshop, 2021

   Bib HTML

   @inproceedings{zhong2021patches,
     title = {Finding Maximally Informative Patches in Images},
     author = {Zhong, Howard and Balakrishnan, Guha and Bowen, Richard S. and Zabih, Ramin and Freeman, William T.},
     booktitle = {NeurIPS Workshop},
     year = {2021},
   }

3. arXiv

   Matched Sample Selection with GANs for Mitigating Attribute Confounding

   Chandan Singh, Guha Balakrishnan, and Pietro Perona

   arXiv preprint, 2021

   arXiv Bib

   @article{singh2021matched,
     title = {Matched Sample Selection with {GANs} for Mitigating Attribute Confounding},
     author = {Singh, Chandan and Balakrishnan, Guha and Perona, Pietro},
     journal = {arXiv preprint},
     year = {2021},
   }

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, 2020

   arXiv Bib Code

   @inproceedings{balakrishnan2020causal,
     title = {Towards Causal Benchmarking of Bias in Face Analysis Algorithms},
     author = {Balakrishnan, Guha and Xiong, Yuanjun and Xia, Wei and Perona, Pietro},
     booktitle = {European Conference on Computer Vision},
     year = {2020},
   }

2. CVPR

   Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings

   Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, and 3 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

   arXiv Bib Website

   @inproceedings{zhao2020painting,
     title = {Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings},
     author = {Zhao, Amy and Balakrishnan, Guha and Lewis, Kathleen M. and Durand, Fr{\'e}do and Guttag, John V. and Dalca, Adrian V.},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     year = {2020},
   }

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, 2019

   DOI arXiv Bib

   @article{balakrishnan2019voxelmorph,
     title = {{VoxelMorph}: A Learning Framework for Deformable Medical Image Registration},
     author = {Balakrishnan, Guha and Zhao, Amy and Sabuncu, Mert R. and Guttag, John and Dalca, Adrian V.},
     journal = {IEEE Transactions on Medical Imaging},
     volume = {38},
     number = {8},
     pages = {1788--1800},
     year = {2019},
     doi = {10.1109/TMI.2019.2897538},
   }

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, 2019

   DOI arXiv Bib

   @article{dalca2019probabilistic,
     title = {Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces},
     author = {Dalca, Adrian V. and Balakrishnan, Guha and Guttag, John and Sabuncu, Mert R.},
     journal = {Medical Image Analysis},
     volume = {57},
     pages = {226--236},
     year = {2019},
     doi = {10.1016/j.media.2019.07.006},
   }

3. CVPR

   Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation

   Amy Zhao, Guha Balakrishnan, Frédo Durand, and 2 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019

   Bib HTML

   @inproceedings{zhao2019data,
     title = {Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation},
     author = {Zhao, Amy and Balakrishnan, Guha and Durand, Fr{\'e}do and Guttag, John V. and Dalca, Adrian V.},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     year = {2019},
   }

4. ICCV

   Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions

   Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, and 3 more authors

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019

   Bib HTML

   @inproceedings{balakrishnan2019visual,
     title = {Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions},
     author = {Balakrishnan, Guha and Dalca, Adrian V. and Zhao, Amy and Guttag, John V. and Durand, Fr{\'e}do and Freeman, William T.},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
     year = {2019},
   }

2018

1. CVPR

   An Unsupervised Learning Model for Deformable Medical Image Registration

   Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, and 2 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018

   arXiv Bib HTML

   @inproceedings{balakrishnan2018unsupervised,
     title = {An Unsupervised Learning Model for Deformable Medical Image Registration},
     author = {Balakrishnan, Guha and Zhao, Amy and Sabuncu, Mert R. and Guttag, John and Dalca, Adrian V.},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     year = {2018},
   }

2. CVPR

   Synthesizing Images of Humans in Unseen Poses

   Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, and 2 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018

   Bib HTML

   @inproceedings{balakrishnan2018synthesizing,
     title = {Synthesizing Images of Humans in Unseen Poses},
     author = {Balakrishnan, Guha and Zhao, Amy and Dalca, Adrian V. and Durand, Fr{\'e}do and Guttag, John},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     year = {2018},
   }

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, 2018

   Young Scientist Impact Award arXiv Bib

   Young Scientist Publication Impact Award

   @inproceedings{dalca2018unsupervised,
     title = {Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration},
     author = {Dalca, Adrian V. and Balakrishnan, Guha and Guttag, John and Sabuncu, Mert R.},
     booktitle = {Medical Image Computing and Computer-Assisted Intervention},
     year = {2018},
   }

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 Bib HTML

   @inproceedings{jaroensri2017ataxia,
     title = {A Video-Based Method for Automatically Rating Ataxia},
     author = {Jaroensri, Ronnachai and Zhao, Amy and Balakrishnan, Guha and Lo, David and Schmahmann, Jeremy D. and Durand, Fr{\'e}do and Guttag, John},
     booktitle = {Machine Learning for Healthcare Conference},
     year = {2017},
   }

2015

1. TOG

   Video Diff: Highlighting Differences Between Similar Actions in Videos

   Guha Balakrishnan, Frédo Durand, and John Guttag

   ACM Transactions on Graphics, 2015

   DOI Bib HTML

   @article{balakrishnan2015videodiff,
     title = {Video Diff: Highlighting Differences Between Similar Actions in Videos},
     author = {Balakrishnan, Guha and Durand, Fr{\'e}do and Guttag, John},
     journal = {ACM Transactions on Graphics},
     volume = {34},
     number = {4},
     year = {2015},
     doi = {10.1145/2766974},
   }

2013

1. CVPR

   Detecting Pulse from Head Motions in Video

   Guha Balakrishnan, Frédo Durand, and John Guttag

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2013

   Bib HTML

   @inproceedings{balakrishnan2013pulse,
     title = {Detecting Pulse from Head Motions in Video},
     author = {Balakrishnan, Guha and Durand, Fr{\'e}do and Guttag, John},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     year = {2013},
   }

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

   Bib HTML

   @inproceedings{wiens2013nba,
     title = {To Crash or Not to Crash: A Quantitative Look at the Relationship Between Offensive Rebounding and Transition Defense in the {NBA}},
     author = {Wiens, Jenna and Balakrishnan, Guha and Brooks, Joel and Guttag, John},
     booktitle = {MIT Sloan Sports Analytics Conference},
     year = {2013},
   }

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

   Bib HTML

   @inproceedings{balakrishnan2012scalable,
     title = {Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection},
     author = {Balakrishnan, Guha and Syed, Zeeshan},
     booktitle = {International Conference on Artificial Intelligence and Statistics},
     year = {2012},
   }

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

   Bib

   @inproceedings{jang2011afib,
     title = {Scalable Customization of Atrial Fibrillation Detection in Cardiac Monitoring Devices},
     author = {Jang, Kuk Jin and Balakrishnan, Guha and Syed, Zeeshan and Verma, Naveen},
     booktitle = {IEEE Engineering in Medicine and Biology Conference},
     year = {2011},
   }

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

   Bib HTML

   @inproceedings{jordan2010adauctions,
     title = {Strategy and Mechanism Lessons from the First Ad Auctions Trading Agent Competition},
     author = {Jordan, Patrick R. and Wellman, Michael P. and Balakrishnan, Guha},
     booktitle = {ACM Conference on Electronic Commerce},
     year = {2010},
   }

2. ACM HI

   Scalable Personalized Medicine with Active Learning

   Guha Balakrishnan and Zeeshan Syed

   In ACM International Health Informatics Symposium, 2010

   Bib

   @inproceedings{balakrishnan2010medicine,
     title = {Scalable Personalized Medicine with Active Learning},
     author = {Balakrishnan, Guha and Syed, Zeeshan},
     booktitle = {ACM International Health Informatics Symposium},
     year = {2010},
   }

3. EMBC

   Creating Symbolic Representations of Electroencephalographic Signals

   Guha Balakrishnan, Ali Shoeb, and Zeeshan Syed

   In IEEE Engineering in Medicine and Biology Conference, 2010

   Bib

   @inproceedings{balakrishnan2010eeg,
     title = {Creating Symbolic Representations of Electroencephalographic Signals},
     author = {Balakrishnan, Guha and Shoeb, Ali and Syed, Zeeshan},
     booktitle = {IEEE Engineering in Medicine and Biology Conference},
     year = {2010},
   }