Siddha Ganju
Siddha Ganju
Carnegie Mellon University, Nvidia
Verified email at - Homepage
Cited by
Cited by
S Imambi, KB Prakash, GR Kanagachidambaresan
Programming with TensorFlow: Solution for Edge Computing Applications, 87-104, 2021
Technology readiness levels for machine learning systems
A Lavin, CM Gilligan-Lee, A Visnjic, S Ganju, D Newman, S Ganguly, ...
Nature Communications 13 (1), 6039, 2022
Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow
A Koul, S Ganju, M Kasam
O'Reilly Media, 2019
A survey of southern hemisphere meteor showers
P Jenniskens, J Baggaley, I Crumpton, P Aldous, P Pokorny, D Janches, ...
Elsevier Planetary and Space Science 2018 154 (Volume 154), 21-29, 2018
Learn-to-race: A multimodal control environment for autonomous racing
J Herman, J Francis, S Ganju, B Chen, A Koul, A Gupta, A Skabelkin, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks
J Dawani
Packt Publishing Ltd, 2020
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part II
A Vedaldi, H Bischof, T Brox, JM Frahm
Springer Nature, 2020
Flood segmentation on sentinel-1 SAR imagery with semi-supervised learning
S Paul, S Ganju
arXiv preprint arXiv:2107.08369, 2021
What's in a Question: Using Visual Questions as a Form of Supervision
S Ganju, O Russakovsky, A Gupta
IEEE Computer Vision and Pattern Recognition 1, CVPR 2017, 2017
Recurrent neural network
GR Kanagachidambaresan, A Ruwali, D Banerjee, KB Prakash
Programming with TensorFlow: Solution for Edge Computing Applications, 53-61, 2021
Safe autonomous racing via approximate reachability on ego-vision
B Chen, J Francis, J Oh, E Nyberg, SL Herbert
arXiv preprint arXiv:2110.07699, 2021
Learn-to-race challenge 2022: Benchmarking safe learning and cross-domain generalisation in autonomous racing
J Francis, B Chen, S Ganju, S Kathpal, J Poonganam, A Shivani, V Vyas, ...
arXiv preprint arXiv:2205.02953, 2022
Space ML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA
A Koul, S Ganju, M Kasam, J Parr
arXiv preprint arXiv:2012.10610, 2020
Artificial intelligence techniques for automating the CAMS processing pipeline to direct the search for long-period comets
M De Cicco, S Zoghbi, AP Stapper, AJ Ordoñez, J Collison, PS Gural, ...
International Meteor Conference 2018, 65-70, 2018
Searching for Long-Period Comets with Deep Learning Tools
S Zoghbi, M De Cicco, AJ Ordonez, AP Stapper, J Collison, PS Gural, ...
IEEE Neural Information Processing Systems (NeurIPS) Deep Learning for …, 2017
Global geomagnetic perturbation forecasting using Deep Learning
V Upendran, P Tigas, B Ferdousi, T Bloch, MCM Cheung, S Ganju, ...
Space Weather 20 (6), e2022SW003045, 2022
Curator: A No-Code Self-Supervised Learning and Active Labeling Tool to Create Labeled Image Datasets from Petabyte-Scale Imagery
R Venguswamy, M Levy, A Koul, S Praveen, T Narayanan, A Krishnan, ...
EGU General Assembly Conference Abstracts, EGU21-6853, 2021
Single image super-resolution with uncertainty estimation for lunar satellite images
JI Delgado-Centeno, P Harder, B Moseley, V Bickel, S Ganju, ...
NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021
Next-gen machine learning supported diagnostic systems for spacecraft
A Vlontzos, G Sutherland, S Ganju, F Soboczenski
arXiv preprint arXiv:2106.05659, 2021
Learnings from Frontier Development Lab and SpaceML--AI Accelerators for NASA and ESA
S Ganju, A Koul, A Lavin, J Veitch-Michaelis, M Kasam, J Parr
arXiv preprint arXiv:2011.04776, 2020
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