About Me

I am a Ph.D. student at Luminosity Labs, Arizona State University. I am privliged to be advised by Professors Spring Berman and Prof. Pavan Turaga. I am also fortunate to be mentored by Dr. Jayaraman J Thiagarajan a computer scientist at Lawrence Livermore National Labs. During the summers, I also had the excellent opportunity to work as a research intern at Stanford Research Institute (‘20) and Lawrence Livermore National Lab for two years in a row (‘21 and ‘22). I work on research that integrates computer vision and machine learning, with a focus on creating intelligent systems that efficiently use various forms of prior knowledge. My area of expertise includes generative models, meta learning, few-shot learning, and object interactions.


Publications

Target-Aware Generative Augmentations for Single-Shot Adaptation

Target-Aware Generative Augmentations for Single-Shot Adaptation

Kowshik Thopalli, Rakshith Subramanyam, Pavan Turaga, Jayaraman J Thiagarajan

International Conference on Machine Learning (ICML), 2023

Single-Shot Domain Adaptation via Target-Aware Generative Augmentations

Single-Shot Domain Adaptation via Target-Aware Generative Augmentations

Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan Turaga, Jayaraman J Thiagarajan

International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification

Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification

Rakshith Subramanyam, Mark Heimann, TS Jayram, Rushil Anirudh, Jayaraman J Thiagarajan

Winter Conference on Applications of Computer Vision (WACV), 2023 Poster Presentation

Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images

Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images

Rakshith Subramanyam, Vivek Narayanaswamy, Mark Naufel, Andreas Spanias, Jayaraman J. Thiagarajan

International Conference on Machine Learning (ICML), 2022 Spotlight Presentation