Rakshith Subramanyam

11 papers A* 2A 1Misc 2Journal 5Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation. ECCV (79) Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan
2024	J	`jnl`	DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation. CoRR Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan
2024	Misc	`conf`	Exploring the Utility of Clip Priors for Visual Relationship Prediction. ICASSP Rakshith Subramanyam, T. S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan
2023	J	`jnl`	CREPE: Learnable Prompting With CLIP Improves Visual Relationship Prediction. CoRR Rakshith Subramanyam, T. S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan
2023	A	`conf`	Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification. WACV Rakshith Subramanyam, Mark Heimann, T. S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan
2023	Misc	`conf`	Single-Shot Domain Adaptation via Target-Aware Generative Augmentations. ICASSP Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan
2023	A*	`conf`	Target-Aware Generative Augmentations for Single-Shot Adaptation. ICML Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan
2023	J	`jnl`	Target-Aware Generative Augmentations for Single-Shot Adaptation. CoRR Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan
2022	J	`jnl`	Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification. CoRR Rakshith Subramanyam, Mark Heimann, Jayram S. Thathachar, Rushil Anirudh, Jayaraman J. Thiagarajan
2022	A*	`conf`	Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images. ICML Rakshith Subramanyam, Vivek Sivaraman Narayanaswamy, Mark Naufel, Andreas Spanias, Jayaraman J. Thiagarajan
2022	J	`jnl`	Single-Shot Domain Adaptation via Target-Aware Generative Augmentation. CoRR Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz