| Foundation models for generalist geospatial artificial intelligence J Jakubik, S Roy, CE Phillips, P Fraccaro, D Godwin, B Zadrozny, ... arXiv preprint arXiv:2310.18660, 2023 | 15 | 2023 |
| Video compression with entropy-constrained neural representations C Gomes, R Azevedo, C Schroers Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Compressed Multi-task embeddings for Data-Efficient Downstream training and inference in Earth Observation C Gomes, T Brunschwiler arXiv preprint arXiv:2403.17886, 2024 | | 2024 |
| Earth Observation Applications through Neural Embedding Compression from Foundation Models C Gomes, T Brunschwiler EGU24, 2024 | | 2024 |
| Estimating Aboveground Biomass with a Fine-tuned Geospatial Foundation Model AF da Silva, L Klein, H Srinivasan, G Singh, M Zortea, AP Atluri, C Watson, ... AGU23, 2023 | | 2023 |
| Fine-tuning a Geospatial Foundation Model for Environmental Impact Monitoring Tasks B Zadrozny, P Fraccaro, J Jakubik, C Gomes, M Muszynski, D Lambhate, ... AGU23, 2023 | | 2023 |
| Measuring the False Sense of Security C Gomes arXiv preprint arXiv:2204.04778, 2022 | | 2022 |
Roberto G. de A. AzevedoResearch Scientist@DisneyResearch|StudiosVerified email at inf.ethz.ch
