Siddha Ganju

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Satellite Images

Top Venues

IEEE Robotics Autom. Mag.

Publications

Jose Ignacio Delgado-Centeno, Paula Harder, Valentin Tertius Bickel, Ben Moseley, Freddie Kalaitzis, Siddha Ganju, Miguel A. Olivares-Méndez
Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics. IEEE Robotics Autom. Mag. 31 (2) (2024)
Brad Larson, Bishal Upadhyaya, Luke McDermott, Siddha Ganju
A Generalization of Continuous Relaxation in Structured Pruning. CoRR (2023)
Siddha Ganju, Amartya Hatua, Peter Jenniskens, Sahyadri Krishna, Chicheng Ren, Surya Ambardar
AI-Enhanced Data Processing and Discovery Crowd Sourcing for Meteor Shower Mapping. CoRR (2023)
Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán
SAR-based landslide classification pretraining leads to better segmentation. CoRR (2022)
Vishal Upendran, Panagiotis Tigas, Banafsheh Ferdousi, Téo Bloch, Mark C. M. Cheung, Siddha Ganju, Asti Bhatt, Ryan M. McGranaghan, Yarin Gal
Global geomagnetic perturbation forecasting using Deep Learning. CoRR (2022)
Suhas Kotha, Anirudh Koul, Siddha Ganju, Meher Kasam
CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning. CoRR (2022)
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
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing. CoRR (2022)
Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán
Deep learning based landslide density estimation on SAR data for rapid response. CoRR (2022)
Tarun Narayanan, Ajay Krishnan, Anirudh Koul, Siddha Ganju
Curator: Creating Large-Scale Curated Labelled Datasets using Self-Supervised Learning. CoRR (2022)
Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán
Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes. CoRR (2022)
Abhigya Sodani, Michael Levy, Anirudh Koul, Meher Anand Kasam, Siddha Ganju
Scalable Reverse Image Search Engine for NASAWorldview. CoRR (2021)
Athanasios Vlontzos, Gabriel Sutherland, Siddha Ganju, Frank Soboczenski
Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft. CoRR (2021)
James Herman, Jonathan Francis, Siddha Ganju, Bingqing Chen, Anirudh Koul, Abhinav Gupta, Alexey Skabelkin, Ivan Zhukov, Max Kumskoy, Eric Nyberg
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing. ICCV (2021)
Sarah Chen, Esther Cao, Anirudh Koul, Siddha Ganju, Satyarth Praveen, Meher Anand Kasam
Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments. CoRR (2021)
Deep Patel, Erin Gao, Anirudh Koul, Siddha Ganju, Meher Anand Kasam
Scalable Data Balancing for Unlabeled Satellite Imagery. CoRR (2021)
James Herman, Jonathan Francis, Siddha Ganju, Bingqing Chen, Anirudh Koul, Abhinav Gupta, Alexey Skabelkin, Ivan Zhukov, Max Kumskoy, Eric Nyberg
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing. CoRR (2021)
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
Technology Readiness Levels for Machine Learning Systems. CoRR (2021)
Panagiotis Tigas, Téo Bloch, Vishal Upendran, Banafsheh Ferdoushi, Mark C. M. Cheung, Siddha Ganju, Ryan M. McGranaghan, Yarin Gal, Asti Bhatt
Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition. CoRR (2021)
Sayak Paul, Siddha Ganju
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning. CoRR (2021)
Anirudh Koul, Siddha Ganju, Meher Kasam, James Parr
Space ML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA. CoRR (2020)
Siddha Ganju, Anirudh Koul, Alexander Lavin, Josh Veitch-Michaelis, Meher Kasam, James Parr
Learnings from Frontier Development Lab and SpaceML - AI Accelerators for NASA and ESA. CoRR (2020)
Siddha Ganju, Olga Russakovsky, Abhinav Gupta
What's in a Question: Using Visual Questions as a Form of Supervision. CoRR (2017)
Siddha Ganju, Olga Russakovsky, Abhinav Gupta
What's in a Question: Using Visual Questions as a Form of Supervision. CVPR (2017)