Rakshith Subramanyam

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Prediction Algorithm

Domain Adaptation

Top Venues

Publications

Rakshith Subramanyam, T. S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan
Exploring the Utility of Clip Priors for Visual Relationship Prediction. ICASSP (2024)
Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan
Target-Aware Generative Augmentations for Single-Shot Adaptation. CoRR (2023)
Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan
Target-Aware Generative Augmentations for Single-Shot Adaptation. ICML (2023)
Rakshith Subramanyam, Mark Heimann, T. S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification. WACV (2023)
Rakshith Subramanyam, T. S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan
CREPE: Learnable Prompting With CLIP Improves Visual Relationship Prediction. CoRR (2023)
Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan
Single-Shot Domain Adaptation via Target-Aware Generative Augmentations. ICASSP (2023)
Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan
Single-Shot Domain Adaptation via Target-Aware Generative Augmentation. CoRR (2022)
Rakshith Subramanyam, Mark Heimann, Jayram S. Thathachar, Rushil Anirudh, Jayaraman J. Thiagarajan
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification. CoRR (2022)
Rakshith Subramanyam, Vivek Sivaraman Narayanaswamy, Mark Naufel, Andreas Spanias, Jayaraman J. Thiagarajan
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images. ICML (2022)