Siddha Ganju - RankMe

23 papers A* 2Journal 21

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