Niveditha Lakshmi Narasimhan — accepted AI-conference papers

2025

A Unified Latent Schrodinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization

Shilhora Akshay, Niveditha Lakshmi Narasimhan, Jacob George, Vineeth N Balasubramanian

CVPR 2025poster

Anomaly detection and localization remain pivotal challenges in computer vision, with applications ranging from industrial inspection to medical diagnostics. While current supervised methods offer high precision, they are often impractical due to the scarcity of annotated data and the infrequent occ…

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2023

Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach

Vimal K B, Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N Balasubramanian

ICCV 2023poster

Estimating the transferability of publicly available pre-trained models to a target task has assumed an important place for transfer learning tasks in recent years. Existing efforts propose metrics that allow a user to choose one model from a pool of pre-trained models without having to fine-tune ea…

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