| 2026 | WACV | Rank-based Geographical Regularization: Revisiting Contrastive Self-Supervised Learning for Multispectral Remote Sensing Imagery. | Tom Burgert, Leonard W. Hackel, Paolo Rota, Begm Demir |
| 2024 | CVPR | Optimized Martian Dust Displacement Detection Using Explainable Machine Learning. | Ana Lomashvili, Kristin Rammelkamp, Olivier Gasnault, Protim Bhattacharjee, Elise Clav, Christoph H. Egerland, Susanne Schrder, Begm Demir, Nina L. Lanza |
| 2024 | IGARSS | MAGICBATHYNET: A Multimodal Remote Sensing Dataset for Bathymetry Prediction and Pixel-Based Classification in Shallow Waters. | Panagiotis Agrafiotis, Lukasz Janowski, Dimitrios Skarlatos, Begm Demir |
| 2024 | IGARSS | Estimating Physical Information Consistency of Channel Data Augmentation for Remote Sensing Images. | Tom Burgert, Begm Demir |
| 2024 | IGARSS | Transformer-Based Federated Learning For Multi-Label Remote Sensing Image Classification. | Baris Byktas, Kenneth Weitzel, Sebastian Vlkers, Felix Zailskas, Begm Demir |
| 2024 | IGARSS | Multi-Modal Vision Transformers for Crop Mapping from Satellite Image Time Series. | Theresa Follath, David Mickisch, Jan Hemmerling, Stefan Erasmi, Marcel Schwieder, Begm Demir |
| 2023 | IGARSS | Active Learning Guided Fine-Tuning for Enhancing Self-Supervised based Multi-Label Classification of Remote Sensing Images. | Lars Mllenbrok, Begm Demir |
| 2023 | IGARSS | Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data. | Michael Mommert, Nicolas Kesseli, Jolle Hanna, Linus Scheibenreif, Damian Borth, Begm Demir |
| 2023 | IGARSS | Label Noise Robust Image Representation Learning Based on Supervised Variational Autoencoders in Remote Sensing. | Gencer Sumbul, Begm Demir |
| 2023 | IGARSS | Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning. | Baris Byktas, Gencer Sumbul, Begm Demir |
| 2023 | IGARSS | HySpecNet-11k: a Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods. | Martin Hermann Paul Fuchs, Begm Demir |
| 2023 | IGARSS | LIT-4-RSVQA: Lightweight Transformer-Based Visual Question Answering in Remote Sensing. | Leonard W. Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begm Demir |
| 2023 | IGARSS | Annotation Cost Efficient Active Learning for Content Based Image Retrieval. | Julia Henkel, Genc Hoxha, Gencer Sumbul, Lars Mllenbrok, Begm Demir |
| 2023 | IGARSS | Transformer-Based Multi-Modal Learning for Multi-Label Remote Sensing Image Classification. | David Hoffmann, Kai Norman Clasen, Begm Demir |
| 2022 | ICASSP | Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing. | Georgii Mikriukov, Mahdyar Ravanbakhsh, Begm Demir |
| 2022 | ICIP | An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. | Georgii Mikriukov, Mahdyar Ravanbakhsh, Begm Demir |
| 2022 | ICIP | A Novel Self-Supervised Cross-Modal Image Retrieval Method in Remote Sensing. | Gencer Sumbul, Markus Mller, Begm Demir |
| 2022 | ICIP | Deep Metric Learning-Based Semi-Supervised Regression with Alternate Learning. | Adina Zell, Gencer Sumbul, Begm Demir |
| 2022 | IGARSS | Causality for Remote Sensing: An Exploratory Study. | Soronzonbold Otgonbaatar, Mihai Datcu, Begm Demir |
| 2022 | IGARSS | Coreset of Hyperspectral Images on a Small Quantum Computer. | Soronzonbold Otgonbaatar, Mihai Datcu, Begm Demir |
| 2022 | IGARSS | A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-Based Retrieval. | Gencer Sumbul, Jun Xiang, Thekke Madam Nimisha, Begm Demir |
| 2022 | IGARSS | Deep Learning Driven Content-Based Image Time-Series Retrieval in Remote Sensing Archives. | Onat Vuran, Oguzhan Akcin, Mahdyar Ravanbakhsh, Blent Sankur, Begm Demir |
| 2022 | IGARSS | Weakly Supervised Semantic Segmentation of Remote Sensing Images for Tree Species Classification Based on Explanation Methods. | Steve Ahlswede, Thekke Madam Nimisha, Christian Schulz, Birgit Kleinschmit, Begm Demir |
| 2021 | ICIP | A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels. | Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begm Demir |
| 2021 | IGARSS | A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval. | Gencer Sumbul, Begm Demir |
| 2021 | IGARSS | RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing. | Sylvain Lobry, Begm Demir, Devis Tuia |
| 2020 | IGARSS | A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification. | Hichame Yessou, Gencer Sumbul, Begm Demir |
| 2020 | IGARSS | Band-Wise Multi-Scale CNN Architecture for Remote Sensing Image Scene Classification. | Jian Kang, Begm Demir |
| 2020 | IGARSS | S2-CGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images. | Jose Luis Holgado Alvarez, Mahdyar Ravanbakhsh, Begm Demir |
| 2019 | IGARSS | Weighted Support Vector Machines for Tree Species Classification Using Lidar Data. | Hoang Minh Nguyen, Begm Demir, Michele Dalponte |
| 2019 | IGARSS | Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding. | Gencer Sumbul, Marcela Charfuelan, Begm Demir, Volker Markl |
| 2019 | IGARSS | A Novel Multi-Attention Driven System for Multi-Label Remote Sensing Image Classification. | Gencer Sumbul, Begm Demir |
| 2019 | IGARSS | Retrieving Images with Generated Textual Descriptions. | Genc Hoxha, Farid Melgani, Begm Demir |
| 2018 | CIKM | From Big Data to Big Information and Big Knowledge: the Case of Earth Observation Data. | Konstantina Bereta, Manolis Koubarakis, Stefan Manegold, George Stamoulis, Begm Demir |
| 2018 | ICIP | Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification. | Subhankar Roy, Enver Sangineto, Nicu Sebe, Begm Demir |
| 2018 | IGARSS | Deep Metric and Hash-Code Learning for Content-Based Retrieval of Remote Sensing Images. | Subhankar Roy, Enver Sangineto, Begm Demir, Nicu Sebe |
| 2018 | IGARSS | Advanced Local Binary Patterns for Remote Sensing Image Retrieval. | Issayas Tekeste, Begm Demir |
| 2018 | IGARSS | Integration of Remote Sensing with A Hydroclimatological Model for an Improved Monitoring of Alpine Glaciers. | Mattia Callegari, Carlo Marin, Daniel Gnther, Philipp Rastner, Lorenzo Bruzzone, Begm Demir, Thomas Marke, Ulrich Strasser, Marc Zebisch, Claudia Notarnicola |
| 2018 | IGARSS | A Novel Data Fusion Technique for Snow Parameter Retrieval. | Ludovica De Gregorio, Mattia Callegari, Carlo Marin, Marc Zebisch, Lorenzo Bruzzone, Begm Demir, Ulrich Strasser, Daniel Gnther, Thomas Marke, Claudia Notarnicola |
| 2017 | IGARSS | Primitive cluster sensitive hashing for scalable content-based image retrieval in remote sensing archives. | Thomas Reato, Begm Demir, Lorenzo Bruzzone |
| 2017 | IGARSS | A novel system for content based retrieval of multi-label remote sensing images. | Osman Emre Dai, Begm Demir, Blent Sankur, Lorenzo Bruzzone |
| 2016 | IGARSS | A comparative study on Multiple Kernel Learning for remote sensing image classification. | Saeid Niazmardi, Begm Demir, Lorenzo Bruzzone, Abdolreza Safari, Saeid Homayouni |
| 2016 | IGARSS | Quad-tree based compressed histogram attribute profiles for classification of very high resolution images. | Romano Battiti, Begm Demir, Lorenzo Bruzzone |
| 2015 | IGARSS | An analysis of the capabilities of COSMO-SKYMED and RADARSAT systems for agricultural area monitoring. | Simonetta Paloscia, Simone Pettinato, Emanuele Santi, Claudia Notarnicola, Felix Greifeneder, Giovanni Cuozzo, Irene Nicolini, Begm Demir, Lorenzo Bruzzone |
| 2015 | IGARSS | A cluster-based appraoch to content based time series retrieval (CBTSR). | Francesca Bovolo, Begm Demir, Lorenzo Bruzzone |
| 2015 | IGARSS | Fast and accurate image classification with histogram based features and additive kernel SVM. | Begm Demir, Lorenzo Bruzzone |
| 2015 | IGARSS | Histogram based attribute profiles for classification of very high resolution remote sensing images. | Begm Demir, Lorenzo Bruzzone |
| 2014 | IGARSS | Kernel-based hashing for content-based image retrval in large remote sensing data archive. | Begm Demir, Lorenzo Bruzzone |
| 2013 | IGARSS | An effective active learning method for interactive content-based retrieval in remote sensing images. | Begm Demir, Lorenzo Bruzzone |
| 2013 | IGARSS | Sequential cascade classification of image time series by exploiting multiple pairwise change detection. | Begm Demir, Francesca Bovolo, Lorenzo Bruzzone |
| 2012 | IGARSS | A novel system for classification of image time series with limited ground reference data. | Begm Demir, Francesca Bovolo, Lorenzo Bruzzone |
| 2012 | IGARSS | A cost-sensitive active learning technique for the definition of effective training sets for supervised classifiers. | Begm Demir, Luca Minello, Lorenzo Bruzzone |
| 2011 | IGARSS | Detection of land-cover transitions in multitemporal images with active-learning based compound classification. | Begm Demir, Francesca Bovolo, Lorenzo Bruzzone |
| 2010 | IGARSS | Empirical mode decomposition based decision fusion for higher hyperspectral image classification accuracy. | Begm Demir, Sarp Ertrk |
| 2009 | ICIP | Improving SVM classification accuracy using a hierarchical approach for hyperspectral images. | Begm Demir, Sarp Ertrk |
| 2009 | ICIP | Improved quality multiple description 3D mesh coding with optimal filtering. | Begm Demir, Sarp Ertrk, Oguzhan Urhan |
| 2009 | IGARSS | An Empirical Mode Decomposition and Composite Kernel Approach to Increase Hyperspectral Image Classification Accuracy. | Begm Demir, Sarp Ertrk |
| 2009 | IGARSS | Wavelet Shrinkage Denoising of Intrinsic Mode Functions of Hyperspectral Image Bands for Classification with High Accuracy. | Begm Demir, Sarp Ertrk, M. Kemal Gll |
| 2008 | IGARSS | Spectral Magnitude and Spectral Derivative Feature Fusion for Improved Classification of Hyperspectral Images. | Begm Demir, Sarp Ertrk |
| 2008 | IGARSS | Reducing the Computational Load of Hyperspectral Band Selection Using the One-Bit Transform of Hyperspectral Bands. | Begm Demir, Sarp Ertrk |
| 2008 | IGARSS | Empirical Mode Decomposition Pre-Process for Higher Accuracy Hyperspectral Image Classification. | Begm Demir, Sarp Ertrk |
| 2007 | IGARSS | Hyperspectral data classification using RVM with pre-segmentation and RANSAC. | Begm Demir, Sarp Ertrk |
| 2007 | IGARSS | Phase correlation based supervised classification of hyperspectral images using multiple class representatives. | Begm Demir, Sarp Ertrk |