Fine-grained object recognition and zero-shot learning in multispectral imagery. - Gencer Sumbul; Selim Aksoy; Ramazan Gokberk Cinbis (SIU, 2018)

Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery. - Gencer Sumbul; Ramazan Gokberk Cinbis; Selim Aksoy (IEEE Trans. Geosci. Remote. Sens., 2018)

Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding. - Gencer Sumbul; Marcela Charfuelan; Begüm Demir; Volker Markl (IGARSS, 2019)

A Novel Multi-Attention Driven System for Multi-Label Remote Sensing Image Classification. - Gencer Sumbul; Begüm Demir (IGARSS, 2019)

A CNN-RNN Framework with a Novel Patch-Based Multi-Attention Mechanism for Multi-Label Image Classification in Remote Sensing. - Gencer Sumbul; Begüm Demir (CoRR, 2019)

An Approach to Super-Resolution of Sentinel-2 Images Based on Generative Adversarial Networks. - Kexin Zhang; Gencer Sumbul; Begüm Demir (CoRR, 2019)

Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery. - Gencer Sumbul; Ramazan Gokberk Cinbis; Selim Aksoy (IEEE Trans. Geosci. Remote. Sens., 2019)

A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification. - Hichame Yessou; Gencer Sumbul; Begüm Demir (IGARSS, 2020)

A Deep Multi-Attention Driven Approach for Multi-Label Remote Sensing Image Classification. - Gencer Sumbul; Begüm Demir (IEEE Access, 2020)

Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives. - Gencer Sumbul; Jian Kang 005; Begüm Demir (CoRR, 2020)

A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval. - Gencer Sumbul; Begüm Demir (IGARSS, 2021)

BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval. - Gencer Sumbul; Arne de Wall; Tristan Kreuziger; Filipe Marcelino; Hugo Costa; Pedro Benevides; Mario Caetano; Begüm Demir; Volker Markl (CoRR, 2021)

Remote-Sensing Image Scene Classification With Deep Neural Networks in JPEG 2000 Compressed Domain. - Akshara Preethy Byju; Gencer Sumbul; Begüm Demir; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2021)

SD-RSIC: Summarization-Driven Deep Remote Sensing Image Captioning. - Gencer Sumbul; Sonali Nayak; Begüm Demir (IEEE Trans. Geosci. Remote. Sens., 2021)

A Novel Self-Supervised Cross-Modal Image Retrieval Method in Remote Sensing. - Gencer Sumbul; Markus Müller; Begüm Demir (ICIP, 2022)

Deep Metric Learning-Based Semi-Supervised Regression with Alternate Learning. - Adina Zell; Gencer Sumbul; Begüm Demir (ICIP, 2022)

A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-Based Retrieval. - Gencer Sumbul; Jun Xiang; Thekke Madam Nimisha; Begüm Demir (IGARSS, 2022)

Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning in Remote Sensing. - Gencer Sumbul; Begüm Demir (CoRR, 2022)

Plasticity-Stability Preserving Multi-Task Learning for Remote Sensing Image Retrieval. - Gencer Sumbul; Begüm Demir (IEEE Trans. Geosci. Remote. Sens., 2022)

Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval. - Gencer Sumbul; Mahdyar Ravanbakhsh; Begüm Demir (IEEE Trans. Geosci. Remote. Sens., 2022)

Towards Simultaneous Image Compression and Indexing for Scalable Content-Based Retrieval in Remote Sensing. - Gencer Sumbul; Jun Xiang; Begüm Demir (IEEE Trans. Geosci. Remote. Sens., 2022)

Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning. - Baris Büyüktas; Gencer Sumbul; Begüm Demir (IGARSS, 2023)

Annotation Cost Efficient Active Learning for Content Based Image Retrieval. - Julia Henkel; Genc Hoxha; Gencer Sumbul; Lars Möllenbrok; Begüm Demir (IGARSS, 2023)

Label Noise Robust Image Representation Learning Based on Supervised Variational Autoencoders in Remote Sensing. - Gencer Sumbul; Begüm Demir (IGARSS, 2023)

Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification. - Baris Büyüktas; Gencer Sumbul; Begüm Demir (CoRR, 2023)

Deep Active Learning for Multi-Label Classification of Remote Sensing Images. - Lars Möllenbrok; Gencer Sumbul; Begüm Demir (IEEE Geosci. Remote. Sens. Lett., 2023)

Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning. - Gencer Sumbul; Begüm Demir (IEEE Trans. Image Process., 2023)

Deep image representation learning for knowledge discovery from earth observation data archives. - Gencer Sümbül (2023)

MaskSDM: Adaptive Species Distribution Modeling Through Data Masking. - Robin Zbinden; Nina Van Tiel; Gencer Sumbul; Benjamin Kellenberger; Devis Tuia (ECCV Workshops (2), 2024)

reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis. - Kai Norman Clasen; Leonard W. Hackel; Tom Burgert; Gencer Sumbul; Begüm Demir; Volker Markl (CoRR, 2024)

Annotation Cost-Efficient Active Learning for Deep Metric Learning-Driven Remote Sensing Image Retrieval. - Genc Hoxha; Gencer Sumbul; Julia Henkel; Lars Möllenbrok; Begüm Demir (IEEE Trans. Geosci. Remote. Sens., 2024)

BigEarthNet v2. - Kai Norman Clasen; Leonard W. Hackel; Tom Burgert; Gencer Sumbul; Begüm Demir; Volker Markl (Zenodo, 2024)

PAN-RSVQA: Vision Foundation Models as Pseudo-ANnotators for Remote Sensing Visual Question Answering. - Christel Chappuis; Gencer Sümbül; Syrielle Montariol; Sylvain Lobry; Devis Tuia (CVPR Workshops, 2025)

MammAlps: A Multi-view Video Behavior Monitoring Dataset of Wild Mammals in the Swiss Alps. - Valentin Gabeff; Haozhe Qi; Brendan Flaherty; Gencer Sumbul; Alexander Mathis; Devis Tuia (CVPR, 2025)

Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing. - Jakob Hackstein; Gencer Sumbul; Kai Norman Clasen; Begüm Demir (IEEE Trans. Geosci. Remote. Sens., 2025)

A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification. - Baris Büyüktas; Gencer Sumbul; Begüm Demir (CoRR, 2025)

MaskSDM with Shapley values to improve flexibility, robustness, and explainability in species distribution modeling. - Robin Zbinden; Nina Van Tiel; Gencer Sumbul; Chiara Vanalli; Benjamin Kellenberger; Devis Tuia (CoRR, 2025)

Redundancy-Aware Pretraining of Vision-Language Foundation Models in Remote Sensing. - Mathis Jürgen Adler; Leonard W. Hackel; Gencer Sumbul; Begüm Demir (CoRR, 2025)

SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images. - Gencer Sumbul; Chang Xu; Emanuele Dalsasso; Devis Tuia (CoRR, 2025)