Siddha Ganju

According to our database, Siddha Ganju authored at least 21 papers between 2017 and 2024.

Collaborative distances:

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

2024

Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics.

Jose Ignacio Delgado-Centeno, Paula Harder, Valentin Tertius Bickel, Ben Moseley, Freddie Kalaitzis, Siddha Ganju, Miguel A. Olivares-Méndez

IEEE Robotics Autom. Mag., June, 2024

2023

A Generalization of Continuous Relaxation in Structured Pruning.

Brad Larson, Bishal Upadhyaya, Luke McDermott, Siddha Ganju

CoRR, 2023

AI-Enhanced Data Processing and Discovery Crowd Sourcing for Meteor Shower Mapping.

Siddha Ganju, Amartya Hatua, Peter Jenniskens, Sahyadri Krishna, Chicheng Ren, Surya Ambardar

CoRR, 2023

2022

Curator: Creating Large-Scale Curated Labelled Datasets using Self-Supervised Learning.

Tarun Narayanan, Ajay Krishnan, Anirudh Koul, Siddha Ganju

CoRR, 2022

Deep learning based landslide density estimation on SAR data for rapid response.

Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán

CoRR, 2022

SAR-based landslide classification pretraining leads to better segmentation.

Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán

CoRR, 2022

Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes.

Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán

CoRR, 2022

Global geomagnetic perturbation forecasting using Deep Learning.

Vishal Upendran, Panagiotis Tigas, Banafsheh Ferdousi, Téo Bloch, Mark C. M. Cheung, Siddha Ganju, Asti Bhatt, Ryan M. McGranaghan, Yarin Gal

CoRR, 2022

Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing.

Jonathan Francis, Bingqing Chen, Siddha Ganju, Sidharth Kathpal, Jyotish Poonganam, Ayush Shivani, Vrushank Vyas, Sahika Genc, Ivan Zhukov, Max Kumskoy, Anirudh Koul, Jean Oh, Eric Nyberg

CoRR, 2022

CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning.

Suhas Kotha, Anirudh Koul, Siddha Ganju, Meher Kasam

CoRR, 2022

2021

Scalable Reverse Image Search Engine for NASAWorldview.

Abhigya Sodani, Michael Levy, Anirudh Koul, Meher Anand Kasam, Siddha Ganju

CoRR, 2021

Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning.

Sayak Paul, Siddha Ganju

CoRR, 2021

Scalable Data Balancing for Unlabeled Satellite Imagery.

Deep Patel, Erin Gao, Anirudh Koul, Siddha Ganju, Meher Anand Kasam

CoRR, 2021

Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments.

Sarah Chen, Esther Cao, Anirudh Koul, Siddha Ganju, Satyarth Praveen, Meher Anand Kasam

CoRR, 2021

Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft.

Athanasios Vlontzos, Gabriel Sutherland, Siddha Ganju, Frank Soboczenski

CoRR, 2021

Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition.

Panagiotis Tigas, Téo Bloch, Vishal Upendran, Banafsheh Ferdoushi, Mark C. M. Cheung, Siddha Ganju, Ryan M. McGranaghan, Yarin Gal, Asti Bhatt

CoRR, 2021

Technology Readiness Levels for Machine Learning Systems.

Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Sujoy Ganguly, Danny Lange, Atilim Günes Baydin, Amit Sharma, Adam Gibson, Yarin Gal, Eric P. Xing, Chris Mattmann, James Parr

CoRR, 2021

Learn-to-Race: A Multimodal Control Environment for Autonomous Racing.

James Herman, Jonathan Francis, Siddha Ganju, Bingqing Chen, Anirudh Koul, Abhinav Gupta, Alexey Skabelkin, Ivan Zhukov, Max Kumskoy, Eric Nyberg

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Space ML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA.

Anirudh Koul, Siddha Ganju, Meher Kasam, James Parr

CoRR, 2020

Learnings from Frontier Development Lab and SpaceML - AI Accelerators for NASA and ESA.

Siddha Ganju, Anirudh Koul, Alexander Lavin, Josh Veitch-Michaelis, Meher Kasam, James Parr

CoRR, 2020

2017

What's in a Question: Using Visual Questions as a Form of Supervision.

Siddha Ganju, Olga Russakovsky, Abhinav Gupta

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017