Search Results for author: Nihar Gupte

Found 4 papers, 3 papers with code

Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications

no code implementations • 30 Nov 2023 • Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi

One approach involves converting images into nodes by identifying significant keypoints within them.

Image Classification Keypoint Detection

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Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data

1 code implementation • 20 Jul 2023 • Sahar Almahfouz Nasser, Nihar Gupte, Amit Sethi

We propose a novel approach based on reverse knowledge distillation to train large models with limited data while preventing overfitting.

Ranked #1 on Image Registration on FIRE

Image Registration Keypoint Detection +2

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EinsteinPy: A Community Python Package for General Relativity

1 code implementation • 22 May 2020 • Shreyas Bapat, Ritwik Saha, Bhavya Bhatt, Shilpi Jain, Akshita Jain, Sofía Ortín Vela, Priyanshu Khandelwal, Jyotirmaya Shivottam, Jialin Ma, Gim Seng Ng, Pratyush Kerhalkar, Hrishikesh Sudam Sarode, Rishi Sharma, Manvi Gupta, Divya Gupta, Tushar Tyagi, Tanmay Rustagi, Varun Singh, Saurabh Bansal, Naman Tayal, Abhijeet Manhas, Raphael Reyna, Gaurav Kumar, Govind Dixit, Ratin Kumar, Sashank Mishra, Alpesh Jamgade, Raahul Singh, Rohit Sanjay, Khalid Shaikh, Bhavam Vidyarthi, Shamanth R Nayak K, Vineet Gandham, Nimesh Vashistha, Arnav Das, Saurabh, Shreyas Kalvankar, Ganesh Tarone, Atul Mangat, Suyog Garg, Bibek Gautam, Sitara Srinivasan, Aayush Gautam, Swaastick Kumar Singh, Suyash Salampuria, Zac Yauney, Nihar Gupte, Gagan Shenoy, Micky Yun Chan

Python is a free, easy to use a high-level programming language which has seen a huge expansion in the number of its users and developers in recent years.

General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics 83-04

585

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Optimal Gravitational-wave Follow-up Tiling Strategies Using a Genetic Algorithm

1 code implementation • 10 Mar 2020 • Nihar Gupte, Imre Bartos

The identification of electromagnetic emission from gravitational-wave sources typically requires multiple follow-up observations due to the limited fields-of-view of follow-up observatories compared to the poorly localized direction of gravitational waves.

Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena

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