| Fast and accurate object detection in high resolution 4K and 8K video using GPUs V Růžička, F Franchetti 2018 IEEE High Performance extreme Computing Conference (HPEC), 1-7, 2018 | 79 | 2018 |
| RaVÆn: unsupervised change detection of extreme events using ML on-board satellites V Růžička, A Vaughan, D De Martini, J Fulton, V Salvatelli, C Bridges, ... Scientific reports 12 (1), 16939, 2022 | 38* | 2022 |
| Deep active learning in remote sensing for data efficient change detection V Růžička, S D'Aronco, JD Wegner, K Schindler arXiv preprint arXiv:2008.11201, 2020 | 36 | 2020 |
| Semantic segmentation of methane plumes with hyperspectral machine learning models V Růžička, G Mateo-Garcia, L Gómez-Chova, A Vaughan, L Guanter, ... Scientific reports 13 (1), 19999, 2023 | 12* | 2023 |
| Fast model inference and training on-board of satellites V Růžička, G Mateo-García, C Bridges, C Brunskill, C Purcell, N Longépé, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 10 | 2023 |
| Remixing AIs: mind swaps, hybrainity, and splicing musical models N Collins, V Ruzicka, M Grierson Proc. The Joint Conference on AI Music Creativity, 2020 | 7 | 2020 |
| CH4Net: a deep learning model for monitoring methane super-emitters with Sentinel-2 imagery A Vaughan, G Mateo-García, L Gómez-Chova, V Růžička, L Guanter, ... EGUsphere 2023, 1-17, 2023 | 4 | 2023 |
| Onboard Cloud Detection and Atmospheric Correction with Deep Learning Emulators G Mateo-García, C Aybar, G Acciarini, V Růžička, G Meoni, N Longépé, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 2 | 2023 |
| Unsupervised wildfire change detection based on contrastive learning B Zhang, H Wang, A Alabri, K Bot, C McCall, D Hamilton, V Růžička arXiv preprint arXiv:2211.14654, 2022 | 2 | 2022 |
| Live twinning: A vision of ml enabled assets in leo for rapid response to natural catastrophes J Parr, G Acciarini, C Bridges, G Mateo-Garcia, E Portales-Julia, C Purcell, ... IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | 1 | 2024 |
| CH4Net: a deep learning model for monitoring methane super-emitters with Sentinel-2 imagery A Vaughan, G Mateo-García, L Gómez-Chova, V Růžička, L Guanter, ... Atmospheric Measurement Techniques 17 (9), 2583-2593, 2024 | 1 | 2024 |
| The Myths of Our Time: Fake News V Růžička, E Kang, D Gordon, A Patel, J Fashimpaur, M Zaheer Proceedings of International Symposium on Electronic Art 2019 (ISEA), pages …, 2019 | 1 | 2019 |
| HyperspectralViTs: Fast and Accurate methane detection on-board satellites V Růžička, A Markham arXiv preprint arXiv:2410.17248, 2024 | | 2024 |
| Onboard cloud detection and atmospheric correction with efficient deep learning models C Aybar, G Mateo-García, G Acciarini, V Růžička, G Meoni, N Longépé, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | | 2024 |
| Smart satellites: machine learning on-board for low-latency novelty detection V Ruzicka, A Vaughan, D De Martini, J Fulton, V Salvatelli, V Zantedeschi, ... AGU Fall Meeting Abstracts 2021, IN45C-0471, 2021 | | 2021 |
| Estimating Bicycle Route Attractivity from Image Data V Růžička arXiv preprint arXiv:1807.03126, 2018 | | 2018 |
| Virtual Creatures simulated in Framsticks V Růžička ČVUT, FEL, 2014 | | 2014 |
Gonzalo Mateo-GarcíaUnited Nations Enviornmental ProgrammeVerified email at un.org