Shubh Gupta

According to our database, Shubh Gupta authored at least 15 papers between 2018 and 2025.

Collaborative distances:

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

2025

MedSAGa: Few-Shot Memory Efficient Medical Image Segmentation Using Gradient Low-Rank Projection in SAM.

Navyansh Mahla, Annie D'souza, Shubh Gupta, Bhavik Kanekar, Kshitij S. Jadhav

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Reliable urban vehicle localization under faulty satellite navigation signals.

Shubh Gupta, Grace Xingxin Gao

EURASIP J. Adv. Signal Process., December, 2024

Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare.

Suraj Racha, Shubh Gupta, Humaira Firdowse, Aastik Solanki, Ganesh Ramakrishnan, Kshitij S. Jadhav

CoRR, 2024

Neural Elevation Models for Terrain Mapping and Path Planning.

Adam Dai, Shubh Gupta, Grace Xingxin Gao

CoRR, 2024

2023

Urban localization using robust filtering at multiple linearization points.

Shubh Gupta, Adyasha Mohanty, Grace Xingxin Gao

EURASIP J. Adv. Signal Process., December, 2023

BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Neural Networks on Commodity CPU Hardware.

Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Tharun Medini, Anshumali Shrivastava

CoRR, 2023

From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware.

Anshumali Shrivastava, Vihan Lakshman, Tharun Medini, Nicholas Meisburger, Joshua Engels, David Torres Ramos, Benito Geordie, Pratik Pranav, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware.

Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain, Tharun Medini, Anshumali Shrivastava

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A Deep Reinforcement Learning Approach to Rare Event Estimation.

Anthony Corso, Kyu-Young Kim, Shubh Gupta, Grace Gao, Mykel J. Kochenderfer

CoRR, 2022

2021

Improving GNSS Positioning using Neural Network-based Corrections.

Ashwin V. Kanhere, Shubh Gupta, Akshay Shetty, Grace Xingxin Gao

CoRR, 2021

A New Particle Filter Framework for Bayesian Receiver Autonomous Integrity Monitoring in Urban Environments.

Shubh Gupta, Grace Xingxin Gao

CoRR, 2021

Data-Driven Protection Levels for Camera and 3D Map-based Safe Urban Localization.

Shubh Gupta, Grace Xingxin Gao

CoRR, 2021

A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion.

Adyasha Mohanty, Shubh Gupta, Grace Xingxin Gao

CoRR, 2021

2020

On the Role of Receptive Field in Unsupervised Sim-to-Real Image Translation.

Nikita Jaipuria, Shubh Gupta, Praveen Narayanan, Vidya N. Murali

CoRR, 2020

2018

Saliency Prediction for Mobile User Interfaces.

Prakhar Gupta, Shubh Gupta, Ajaykrishnan Jayagopal, Sourav Pal, Ritwik Sinha

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018