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Dimitri Gominski
Dimitri Gominski
Bestätigte E-Mail-Adresse bei ign.ku.dk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Challenging deep image descriptors for retrieval in heterogeneous iconographic collections
D Gominski, M Poreba, V Gouet-Brunet, L Chen
Proceedings of the 1st Workshop on Structuring and Understanding of …, 2019
92019
Connecting images through sources: Exploring low-data, heterogeneous instance retrieval
D Gominski, V Gouet-Brunet, L Chen
Remote Sensing 13 (16), 3080, 2021
52021
Cross-dataset learning for generalizable land use scene classification
D Gominski, V Gouet-Brunet, L Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
22022
Severe decline in large agroforestry trees in India over the past decade
M Brandt, D Gominski, F Reiner, A Kariryaa, V Guthula, P Ciais, X Tong, ...
12023
An operational framework to track individual farmland trees over time at national scales using PlanetScope imagery
F Reiner, D Gominski, R Fensholt, M Brandt
2024
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring
S Li, D Gominski, M Brandt, X Tong, P Ciais
arXiv preprint arXiv:2405.00514, 2024
2024
High-resolution mapping of tree mortality in European forests
Y Cheng, S Oehmcke, C Mosig, B Mirela, T Kattenborn, C Abel, ...
EGU24, 2024
2024
Large-scale satellite mapping unveils uneven wetland restoration needs across Europe
GM Kovács, X Tong, D Gominski, S Oehmcke, S Horion, R Fensholt
EGU24, 2024
2024
Tree Counting by Bridging 3D Point Clouds with Imagery
L Li, T Zhang, Z Jiang, CY Yang, JN Hwang, S Oehmcke, DPJ Gominski, ...
arXiv preprint arXiv:2403.01932, 2024
2024
Trees on smallholder farms and forest restoration are critical for Rwanda to achieve net zero emissions
M Mugabowindekwe, M Brandt, A Mukuralinda, P Ciais, F Reiner, ...
Communications Earth & Environment 5 (1), 113, 2024
2024
Application of deep learning on localizing sand exploitation at the national level and tracking its effects locally in Rwanda
K Huang, M Bendixen, M Mugabowindekwe, DPJ Gominski, M Brandt, ...
AGU23, 2023
2023
High nitrous oxide emissions from temporary flooded depressions within croplands
BB Elberling, GM Kovács, HFE Hansen, R Fensholt, P Ambus, X Tong, ...
Communications Earth & Environment 4 (1), 463, 2023
2023
Benchmarking Individual Tree Mapping with Sub-meter Imagery
D Gominski, A Kariryaa, M Brandt, C Igel, S Li, M Mugabowindekwe, ...
arXiv preprint arXiv:2311.07981, 2023
2023
Rwanda’s pathway to net zero empowering smallholder farmers and forest restoration
M Brandt, M Mugabowindekwe, A Mukuralinda, P Ciais, F Reiner, ...
2023
Satellite-based continental-scale inventory of European wetland types at 10m spatial resolution
G Mate Kovács, S Oehmcke, S Horion, D Gominski, X Tong, R Fensholt
EGU General Assembly Conference Abstracts, EGU-6696, 2023
2023
Separating tree systems in agricultural lands from forests using Deep learning
W Yang, D Ortiz Gonzalo, X Tong, DPJ Gominski, M Brandt, A Kariryaa, ...
EGU General Assembly Conference Abstracts, EGU-8916, 2023
2023
Deep learning for individual tree detection with noisy labels
D Gominski, M Brandt, R Fensholt
EGU23, 2023
2023
Satellite-based continental-scale inventory of European wetland types at 10m spatial resolution
GM Kovács, S Oehmcke, S Horion, D Gominski, X Tong, R Fensholt
EGU23, 2023
2023
Generalizable features and image search for multi-source interconnection and analysis
D Gominski
Université Gustave Eiffel, 2021
2021
Indexation et recherche d'images multimodales dans le projet ALEGORIA: méthodes et outils pour croiser les sources iconographiques de la Reconstruction
V Gouet-Brunet, N Abadie, S Besson, MÈ Bouillon, P Charbonnier, ...
Les archives iconographiques et audiovisuelles de la Reconstruction en …, 2021
2021
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