Jay N. Paranjape

According to our database, Jay N. Paranjape authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Federated Black-Box Adaptation for Semantic Segmentation.

Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel

CoRR, 2024

A Mamba-based Siamese Network for Remote Sensing Change Detection.

Jay N. Paranjape, Celso de Melo, Vishal M. Patel

CoRR, 2024

Blackbox Adaptation for Medical Image Segmentation.

Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel

CoRR, 2024

AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation.

Jay N. Paranjape, Nithin Gopalakrishnan Nair, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

S-SAM: SVD-Based Fine-Tuning of Segment Anything Model for Medical Image Segmentation.

Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Black-Box Adaptation for Medical Image Segmentation.

Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Low-Rank Adaptation of Segment Anything Model for Surgical Scene Segmentation.

Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos.

Jay N. Paranjape, Shameema Sikder, Vishal M. Patel, S. Swaroop Vedula

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2021

Improving ML Detection of IoT Botnets using Comprehensive Data and Feature Sets.

Misha Mehra, Jay N. Paranjape, Vinay J. Ribeiro

Proceedings of the 13th International Conference on COMmunication Systems & NETworkS, 2021

2020

Characterizing the Weight Space for Different Learning Models.

Saurav Musunuru, Jay N. Paranjape, Rahul Kumar Dubey, Vijendran G. Venkoparao

CoRR, 2020

Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense.

Jay N. Paranjape, Rahul Kumar Dubey, Vijendran V. Gopalan

CoRR, 2020