Rakshith Subramanyam

According to our database, Rakshith Subramanyam authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Exploring the Utility of Clip Priors for Visual Relationship Prediction.

Rakshith Subramanyam, T. S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan

Proceedings of the IEEE International Conference on Acoustics, 2024

DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation.

Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

CREPE: Learnable Prompting With CLIP Improves Visual Relationship Prediction.

Rakshith Subramanyam, T. S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan

CoRR, 2023

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

Rakshith Subramanyam, Mark Heimann, T. S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Target-Aware Generative Augmentations for Single-Shot Adaptation.

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

Proceedings of the International Conference on Machine Learning, 2023

Single-Shot Domain Adaptation via Target-Aware Generative Augmentations.

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

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Single-Shot Domain Adaptation via Target-Aware Generative Augmentation.

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

CoRR, 2022

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

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

Proceedings of the International Conference on Machine Learning, 2022