Rakshith Subramanyam

According to our database, Rakshith Subramanyam authored at least 6 papers between 2022 and 2023.

Collaborative distances:

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

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