Gencer Sumbul
Title
Cited by
Cited by
Year
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
402019
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
352017
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
92019
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
72019
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, arXiv: 2001.06372, 2020
52020
BigEarthNet Deep Learning Models 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
22020
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, 2020
12020
A Deep Multi-Attention Driven Approach for Multi-Label Remote Sensing Image Classification
G Sumbul, B Demіr
IEEE Access, 2020
12020
Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives
G Sumbul, J Kang, B Demir
arXiv preprint arXiv:2004.01613, 2020
12020
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
12019
SD-RSIC: Summarization-Driven Deep Remote Sensing Image Captioning
G Sumbul, S Nayak, B Demir
IEEE Transactions on Geoscience and Remote Sensing, 2020
2020
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification
H Yessou, G Sumbul, B Demir
arXiv preprint arXiv:2009.13935, 2020
2020
Remote-Sensing Image Scene Classification With Deep Neural Networks in JPEG 2000 Compressed Domain
A Preethy Byju, G Sumbul, B Demir, L Bruzzone
2020
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
2020
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 Sumbul, RG Cinbiş, S AKSOY
2018
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 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
Topic Model with Nonnegative Matrix Factorization
G Sumbul, S Aslan
2016
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Articles 1–20