Prateksha Udhayanan — accepted AI-conference papers

2026

Scale Space Diffusion

Soumik Mukhopadhyay, Prateksha Udhayanan, Abhinav Shrivastava

CVPR 2026

Diffusion models degrade images through noise, and reversing this process reveals an information hierarchy across timesteps. Scale-space theory exhibits a similar hierarchy via low-pass filtering. We formalize this connection and show that highly noisy diffusion states contain no more information th

Cited by 0 Source ↗code ↗Scholar ↗

2024

CoPL: Contextual Prompt Learning for Vision-Language Understanding

Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan, K J Joseph, Balaji Vasan Srinivasan

AAAI 2024technical

Recent advances in multimodal learning has resulted in powerful vision-language models, whose representations are generalizable across a variety of downstream tasks. Recently, their generalization ability has been further extended by incorporating trainable prompts, borrowed from the natural languag…

Cited by 7 Source ↗PDF ↗Scholar ↗