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I focus on scalable and reliable computer vision, and in particular:
efficient (compact, low-cost) signal and scene representations
medical & geospatial applications
robustness & interpretability of AI models
I have also worked on a broad range of other topics in computer vision. Below are some of my publications. You can find a full list on my Google scholar page.
Some Publications (Click on Titles for Links)
Some Publications (Click on Titles for Links)
FastAvatar: Instant 3D Gaussian Splatting for Faces From Single Unconstrained Poses
H. Liang, Z. Ge, A. Tiwari, S.Majee, D. Godaliyadda, A. Veeraraghavan, G. Balakrishnan
In Submission
M. Michalkiewicz, A. Sokhal, T. Michalkiewicz, P. Pawlikowski, M. Baktashmotlagh, V. Jampani, G. Balakrishnan
In Submission
Debris Segmentation using Post-Hurricane Aerial Imagery
K. Amini, Y. Liu, J. E. Padgett, G. Balakrishnan, A. Veeraraghavan
Computer-Aided Civil and Infrastructure Engineering 2025
Downscaling Extreme Precipitation with Wasserstein Regularized Diffusion
Y. Liu, J. Doss-Gollin, Q. Dai, A. Veeraraghavan, G. Balakrishnan
In Submission
Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation
K. Vyas, A. Veeraraghavan, G. Balakrishnan
MICCAI 2025 (oral, top 5-10% of accepted papers)
Metric-Guided Conformal Bounds for Probabilistic Image Reconstruction
M. Cheung, T. Netherton, L. Court, A. Veeraraghavan, G. Balakrishnan
MICCAI UNSURE Workshop 2025 (oral)
Alpine - A PyTorch Library for Implicit Neural Representations
K. Vyas, A. Veeraraghavan, G. Balakrishnan
CVPR Neural Fields Beyond Conventional Cameras Workshop 2025
Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models
M. Michalkiewicz, S. Bai, M. Baktashmotlagh, V. Jampani, G. Balakrishnan
ICCV 2025
TranSplat: Lighting-Consistent Cross-Scene Object Transfer with 3D Gaussian Splatting
T. Yu, Y. Jin, A. Veeraraghavan, A. Dave, G. Balakrishnan
In Submission
Taming Data and Transformers for Audio Generation
M. Haji-Ali, W. Menapace, A. Siarohin, G. Balakrishnan, V. Ordonez
In Submission
When are diffusion priors helpful in sparse reconstruction? A Study with Sparse-View CT
M. Cheung, S. Zorek, T. Netherton, S. Al-Kindi, A. Veeraraghavan, G. Balakrishnan
ISBI 2025
ISLAND: Interpolating Land Surface Temperature using land cover
Y. Liu, P. Panakkal, S. Dee, G. Balakrishnan, J. Padgett, A. Veeraraghavan
Remote Sensing Applications: Society and Environment 2024
DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction
Y. Ham, M. Michalkiewicz, G. Balakrishnan
ICCP 2024 (oral)
GELDA: A generative language annotation framework to reveal visual biases in datasets
K. Kabra, K. M. Lewis, G. Balakrishnan.
CVPR ReGenAI Workshop 2024 (oral, Best Paper Award Winner)
CT Reconstruction from Few Planar X-Rays with Application Towards Low-Resource Radiotherapy
Y. Sun, T. Netherton, L. Court, A. Veeraraghavan, G. Balakrishnan
MICCAI Deep Generative Models Workshop 2024
H. Liang, P. Perona, G. Balakrishnan
ICCV 2023
Towards causally linking architectural parametrizations to algorithmic bias in neural networks
H. Liang, J. O. Caro, V. Maheshri, A. Patel, G. Balakrishnan
WACV 2023
SplineCam: Exact Visualization of Deep Neural Network Geometry and Decision Boundaries
A. I. Humayun, R. Balestriero, G. Balakrishnan, R. Baraniuk
CVPR 2023 (highlight)
WIRE: Wavelet Implicit Neural Representations
V. Saragadam, D. LeJeune, J. Tan, G. Balakrishnan, A. Veeraraghavan, R. Baraniuk
CVPR 2023
MINER: Multiscale Implicit Neural Representations
V. Saragadam, J. Tan, G. Balakrishnan, R. Baraniuk, A. Veeraraghavan
ECCV 2022
Latent Rayleigh EigenDirections for controlled GAN Synthesis
G. Balakrishnan, R. Gadde, A. Martinez, P. Perona
ECCV 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Learning
D. Zietlow, M. Lohaus, G. Balakrishnan, M. Kleindessner, F. Locatello, B. Scholkopf, C. Russell
CVPR 2022
Better Aggregation in Test-Time Augmentation
D. Shanmugam, D. Blalock, G. Balakrishnan, J. Guttag
ICCV 2021 (oral)
Towards Causal Benchmarking of Bias in Face Analysis Algorithms
G. Balakrishnan, Y. Xiong, W. Xia, P. Perona
ECCV 2020 & Deep Learning-Based Face Analytics 2021
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
G. Balakrishnan, A. Zhao, M. Sabuncu, J. Guttag, A. Dalca
CVPR 2018 & IEEE TMI 2019
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
A. Dalca, G. Balakrishnan, J. Guttag, M. Sabuncu
MICCAI 2018 (best student paper runner-up) & Medical Image Analysis 2019
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
G. Balakrishnan, A. Dalca, A. Zhao, J. Guttag, F. Durand, W. Freeman
ICCV 2019
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation
A. Zhao, G. Balakrishnan, F. Durand, J. Guttag, A. Dalca
CVPR 2019 (oral)
Synthesizing Images of Humans in Unseen Poses
G. Balakrishnan, A. Zhao, A. Dalca, F. Durand, J. Guttag
CVPR 2018 (oral)
Video Diff: Highlighting Differences Between Similar Actions in Videos
G. Balakrishnan, F. Durand, J. Guttag
Siggraph Asia 2015 (oral)
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