Embedded Files
My research interests lie in computer vision and medical imaging. Some topics I am particularly interested in:
Efficient neural signal representations & low-cost visual reasoning
Multi-modal data representations
Responsible AI (transparency, benchmarking, interpretability)
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 (Click on Titles for Links)
Some Recent Publications (Click on Titles for Links)
Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation
Kushal Vyas Ashok Veeraraghavan, Guha Balakrishnan
MICCAI 2025 (early accept, top 9% of papers)
Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models
Mateusz Michalkiewicz, Sheena Bai, Mahsa Baktashmotlagh, Varun Jampani, Guha Balakrishnan
ICCV 2025
TranSplat: Lighting-Consistent Cross-Scene Object Transfer with 3D Gaussian Splatting
Tony Yu, Yanlin Jin, Ashok Veeraraghavan, Akshat Dave, Guha Balakrishnan
In Submission
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
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
DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction
Yujin Ham, Mateusz Michalkiewicz, Guha Balakrishnan
ICCP 2024
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)
CT Reconstruction from Few Planar X-Rays with Application Towards Low-Resource Radiotherapy
Yiran Sun, Tucker Netherton, Laurence Court, Ashok Veeraraghavan, Guha Balakrishnan
MICCAI Deep Generative Models Workshop 2024
Hao Liang, Pietro Perona, Guha Balakrishnan
ICCV 2023
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
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
Page updated
Google Sites
Report abuse