Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images. - Rakshith Subramanyam; Vivek Sivaraman Narayanaswamy; Mark Naufel; Andreas Spanias; Jayaraman J. Thiagarajan (ICML, 2022)

Single-Shot Domain Adaptation via Target-Aware Generative Augmentation. - Rakshith Subramanyam; Kowshik Thopalli; Spring Berman; Pavan K. Turaga; Jayaraman J. Thiagarajan (CoRR, 2022)

Single-Shot Domain Adaptation via Target-Aware Generative Augmentations. - Rakshith Subramanyam; Kowshik Thopalli; Spring Berman; Pavan K. Turaga; Jayaraman J. Thiagarajan (ICASSP, 2023)

Target-Aware Generative Augmentations for Single-Shot Adaptation. - Kowshik Thopalli; Rakshith Subramanyam; Pavan K. Turaga; Jayaraman J. Thiagarajan (ICML, 2023)

Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification. - Rakshith Subramanyam; Mark Heimann; T. S. Jayram; Rushil Anirudh; Jayaraman J. Thiagarajan (WACV, 2023)

CREPE: Learnable Prompting With CLIP Improves Visual Relationship Prediction. - Rakshith Subramanyam; T. S. Jayram; Rushil Anirudh; Jayaraman J. Thiagarajan (CoRR, 2023)

DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation. - Rakshith Subramanyam; Kowshik Thopalli; Vivek Sivaraman Narayanaswamy; Jayaraman J. Thiagarajan (ECCV (79), 2024)

Exploring the Utility of Clip Priors for Visual Relationship Prediction. - Rakshith Subramanyam; T. S. Jayram; Rushil Anirudh; Jayaraman J. Thiagarajan (ICASSP, 2024)