Gencer Sumbul
Gencer Sumbul
tu-berlin.de üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Bigearthnet: A large-scale benchmark archive for remote sensing image understanding
G Sumbul, M Charfuelan, B Demir, V Markl
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
1262019
Fine-grained object recognition and zero-shot learning in remote sensing imagery
G Sumbul, RG Cinbis, S Aksoy
IEEE Transactions on Geoscience and Remote Sensing 56 (2), 770-779, 2017
472017
A novel multi-attention driven system for multi-label remote sensing image classification
G Sumbul, B Demir
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
222019
Multisource region attention network for fine-grained object recognition in remote sensing imagery
G Sumbul, RG Cinbis, S Aksoy
IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4929-4937, 2019
222019
BigEarthNet dataset with a new class-nomenclature for remote sensing image understanding
G Sumbul, J Kang, T Kreuziger, F Marcelino, H Costa, P Benevides, ...
arXiv preprint arXiv:2001.06372, 2020
182020
A deep multi-attention driven approach for multi-label remote sensing image classification
G Sumbul, B Demİr
IEEE Access 8, 95934-95946, 2020
132020
SD-RSIC: Summarization-Driven Deep Remote Sensing Image Captioning
G Sumbul, S Nayak, B Demir
IEEE Transactions on Geoscience and Remote Sensing, 2020
72020
A comparative study of deep learning loss functions for multi-label remote sensing image classification
H Yessou, G Sumbul, B Demir
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
72020
Remote-Sensing Image Scene Classification With Deep Neural Networks in JPEG 2000 Compressed Domain
AP Byju, G Sumbul, B Demir, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 59 (4), 3458-3472, 2020
52020
Deep learning for image search and retrieval in large remote sensing archives
G Sumbul, J Kang, B Demir
Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021
42021
A CNN-RNN framework with a novel patch-based multi-attention mechanism for multi-label image classification in remote sensing
G Sumbul, B Demir
arXiv preprint arXiv:1902.11274, 2019
22019
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval
G Sumbul, A de Wall, T Kreuziger, F Marcelino, H Costa, P Benevides, ...
arXiv preprint arXiv:2105.07921, 2021
12021
An approach to super-resolution of sentinel-2 images based on generative adversarial networks
K Zhang, G Sumbul, B Demir
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium …, 2020
12020
A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval
G Sumbul, B Demir
arXiv preprint arXiv:2106.00506, 2021
2021
Informative and Representative Triplet Selection for Multi-Label Remote Sensing Image Retrieval
G Sumbul, M Ravanbakhsh, B Demir
arXiv e-prints, arXiv: 2105.03647, 2021
2021
Approximating JPEG 2000 wavelet representation through deep neural networks for remote sensing image scene classification
AP Byju, G Sumbul, B Demir, L Bruzzone
Image and Signal Processing for Remote Sensing XXV 11155, 111550S, 2019
2019
Fine-grained object recognition and zero-shot learning in multispectral imagery
G Sümbül, S Aksoy, RG Cinbiş
2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018
2018
Fine-grained object recognition and zero-shot learning in multispectral imagery.
G Sumbul, S Aksoy, RG Cinbis
SIU, 1-4, 2018
2018
Fine-grained object recognition in remote sensing imagery
G Sümbül
Bilkent University, 2018
2018
CMPE 548 Bayesian Analysis of Stochastic Volatility Model And Estimating Volatility with Gibbs Sampler
G Sümbül
2016
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