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2020 – today
- 2024
[j1]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): 100-112 (2024)- 2023
- [i20]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 abs/2308.02664 (2023) - [i19]Brad Larson, Bishal Upadhyaya, Luke McDermott, Siddha Ganju:
A Generalization of Continuous Relaxation in Structured Pruning. CoRR abs/2308.14605 (2023) - 2022
- [i18]Suhas Kotha, Anirudh Koul, Siddha Ganju, Meher Kasam:
CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning. CoRR abs/2201.08001 (2022) - [i17]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 abs/2205.02953 (2022) - [i16]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 abs/2205.12734 (2022) - [i15]Vanessa Böhm, 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 abs/2211.02869 (2022) - [i14]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 abs/2211.09927 (2022) - [i13]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 abs/2211.10338 (2022) - [i12]Tarun Narayanan, Ajay Krishnan, Anirudh Koul, Siddha Ganju:
Curator: Creating Large-Scale Curated Labelled Datasets using Self-Supervised Learning. CoRR abs/2212.14099 (2022) - 2021
- [c2]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: 9773-9782 - [i11]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 abs/2101.03989 (2021) - [i10]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 abs/2102.01447 (2021) - [i9]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 abs/2103.11575 (2021) - [i8]Athanasios Vlontzos, Gabriel Sutherland, Siddha Ganju, Frank Soboczenski:
Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft. CoRR abs/2106.05659 (2021) - [i7]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 abs/2106.07113 (2021) - [i6]Deep Patel, Erin Gao, Anirudh Koul, Siddha Ganju, Meher Anand Kasam:
Scalable Data Balancing for Unlabeled Satellite Imagery. CoRR abs/2107.03227 (2021) - [i5]Sayak Paul, Siddha Ganju:
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning. CoRR abs/2107.08369 (2021) - [i4]Abhigya Sodani, Michael Levy, Anirudh Koul, Meher Anand Kasam, Siddha Ganju:
Scalable Reverse Image Search Engine for NASAWorldview. CoRR abs/2108.04479 (2021) - 2020
- [i3]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 abs/2011.04776 (2020) - [i2]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 abs/2012.10610 (2020)
2010 – 2019
- 2017
- [c1]Siddha Ganju, Olga Russakovsky, Abhinav Gupta:
What's in a Question: Using Visual Questions as a Form of Supervision. CVPR 2017: 6422-6431 - [i1]Siddha Ganju, Olga Russakovsky, Abhinav Gupta:
What's in a Question: Using Visual Questions as a Form of Supervision. CoRR abs/1704.03895 (2017)
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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