Research

My research interests lie in computer vision, computer graphics, and medical imaging. Some topics I am currently working on are:

Below are some recent publications (with titles linking to papers). You can find a full list of my publications on my Google scholar page.

Some Recent Publications

When are diffusion priors helpful in sparse reconstruction? A Study with Sparse-View CT

Matt Cheung, Sophia Zorek, Tucker Netherton, Sadeer Al-Kindi, Ashok Veeraraghavan, Guha Balakrishnan

ISBI 2025

Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models

Mateusz Michalkiewicz, Sheena Bai, Mahsa Baktashmotlagh, Varun Jampani, Guha Balakrishnan

In Submission

ISLAND: Interpolating Land Surface Temperature using land cover

Yuhao Liu, Pranavesh Panakkal, Sylvia Dee, Guha Balakrishnan, Jamie Padgett, Ashok Veeraraghavan

Remote Sensing Applications: Society and Environment

GELDA: A generative language annotation framework to reveal visual biases in datasets

Krish Kabra, Kathleen M. Lewis, Guha Balakrishnan.

CVPR ReGenAI Workshop 2024 (Best Paper Award Winner)

Towards causally linking architectural parametrizations to algorithmic bias in neural networks

Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan

WACV 2023

Visualizing chest X-ray dataset biases using GANs

Hao Liang, Kevin Ni, Guha Balakrishnan

MIDL 2023

SplineCam: Exact Visualization of Deep Neural Network Geometry and Decision Boundaries

Ahmed Imtiaz Humayun, Randall Balestriero, Guha Balakrishnan, Richard Baraniuk

CVPR 2023

WIRE: Wavelet Implicit Neural Representations

Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk

CVPR 2023

MINER: Multiscale Implicit Neural Representations

Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard Baraniuk, Ashok 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