Measuring the semantic gap based on a communication channel model. - Reza Bahmanyar; Mihai Datcu (ICIP, 2013)

Locally Linear Salient Coding for image classification. - Mohammadreza Babaee; Gerhard Rigoll; Reza Bahmanyar; Mihai Datcu (CBMI, 2014)

Comparing the information extracted by feature descriptors from EO images using Huffman coding. - Reza Bahmanyar; Mihai Datcu; Gerhard Rigoll (CBMI, 2014)

Farness preserving Non-negative matrix factorization. - Mohammadreza Babaee; Reza Bahmanyar; Gerhard Rigoll; Mihai Datcu (ICIP, 2014)

Evaluating the sensory gap for earth observation images using human perception and an LDA-based computational model. - Reza Bahmanyar; Ambar Murillo Montes de Oca (ICIP, 2015)

A Comparative Study of Bag-of-Words and Bag-of-Topics Models of EO Image Patches. - Reza Bahmanyar; Shiyong Cui; Mihai Datcu (IEEE Geosci. Remote. Sens. Lett., 2015)

The Semantic Gap: An Exploration of User and Computer Perspectives in Earth Observation Images. - Reza Bahmanyar; Ambar Murillo Montes de Oca; Mihai Datcu (IEEE Geosci. Remote. Sens. Lett., 2015)

Conception and Assessment of Semantic Feature Descriptors for Earth Observation Images. - Reza Bahmanyar (2016)

Land-cover change detection using local feature descriptors extracted from spectral indices. - Daniela Espinoza-Molina; Reza Bahmanyar; Ricardo Díaz-Delgado; Javier Bustamante; Mihai Datcu (IGARSS, 2017)

Land-cover evolution class analysis in Image Time Series of Landsat and Sentinel-2 based on Latent Dirichlet Allocation. - Daniela Espinoza-Molina; Reza Bahmanyar; Mihai Datcu; Ricardo Díaz-Delgado; Javier Bustamante (MultiTemp, 2017)

Discovery of Semantic Relationships in PolSAR Images Using Latent Dirichlet Allocation. - Radu Tanase; Reza Bahmanyar; Gottfried Schwarz; Mihai Datcu (IEEE Geosci. Remote. Sens. Lett., 2017)

Earth Observation Image Semantic Bias: A Collaborative User Annotation Approach. - Ambar Murillo Montes de Oca; Reza Bahmanyar; Nicolae Nistor; Mihai Datcu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Building Outline Extraction Using a Heuristic Approach Based on Generalization of Line Segments. - Tahmineh Partovi; Reza Bahmanyar; Thomas Krauß; Peter Reinartz (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery. - Seyed Majid Azimi; Eleonora Vig; Reza Bahmanyar; Marco Körner 001; Peter Reinartz (ACCV (3), 2018)

Combining Deep and Shallow Neural Networks with Ad Hoc Detectors for the Classification of Complex Multi-Modal Urban Scenes. - Daniele Cerra; Miguel Pato; Emiliano Carmona; Seyed Majid Azimi; Jiaojiao Tian; Reza Bahmanyar; Franz Kurz; Eleonora Vig; Ksenia Bittner; Corentin Henry; Pablo d'Angelo; Rupert Müller; et al. (IGARSS, 2018)

Multisensor Earth Observation Image Classification Based on a Multimodal Latent Dirichlet Allocation Model. - Reza Bahmanyar; Daniela Espinoza-Molina; Mihai Datcu (IEEE Geosci. Remote. Sens. Lett., 2018)

MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery. - Reza Bahmanyar; Eleonora Vig; Peter Reinartz (CoRR, 2019)

Automatic 3-D Building Model Reconstruction from Very High Resolution Stereo Satellite Imagery. - Tahmineh Partovi; Friedrich Fraundorfer; Reza Bahmanyar; Hai Huang 006; Peter Reinartz (Remote. Sens., 2019)

EAGLE: Large-Scale Vehicle Detection Dataset in Real-World Scenarios using Aerial Imagery. - Seyed Majid Azimi; Reza Bahmanyar; Corentin Henry; Franz Kurz (ICPR, 2020)

AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features. - Maximilian Kraus; Seyed Majid Azimi; Emec Ercelik; Reza Bahmanyar; Peter Reinartz; Alois C. Knoll (ICPR, 2020)

Stepwise Refinement Of Low Resolution Labels For Earth Observation Data: Part 1. - Daniele Cerra; Nina Merkle; Corentin Henry; Kevin Alonso 001; Pablo d'Angelo; Stefan Auer; Reza Bahmanyar; Xiangtian Yuan; Ksenia Bittner; Maximilian Langheinrich; Guichen Zhang; Miguel Pato; et al. (IGARSS, 2020)

Stepwise Refinement Of Low Resolution Labels For Earth Observation Data: Part 2. - Daniele Cerra; Nina Merkle; Corentin Henry; Kevin Alonso 001; Pablo d'Angelo; Stefan Auer; Reza Bahmanyar; Xiangtian Yuan; Ksenia Bittner; Maximilian Langheinrich; Guichen Zhang; Miguel Pato; et al. (IGARSS, 2020)

EAGLE: Large-scale Vehicle Detection Dataset inReal-World Scenarios using Aerial Imagery. - Seyed Majid Azimi; Reza Bahmanyar; Corentin Henry; Franz Kurz (CoRR, 2020)

Multiple Pedestrians and Vehicles Tracking in Aerial Imagery: A Comprehensive Study. - Seyed Majid Azimi; Maximilian Kraus; Reza Bahmanyar; Peter Reinartz (CoRR, 2020)

Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network. - Seyed Majid Azimi; Maximilian Kraus; Reza Bahmanyar; Peter Reinartz (Remote. Sens., 2021)

Airborne-Shadow: Towards Fine-Grained Shadow Detection in Aerial Imagery. - Seyed Majid Azimi; Reza Bahmanyar (DAGM, 2023)

Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI. - Nina Merkle; Reza Bahmanyar; Corentin Henry; Seyed Majid Azimi; Xiangtian Yuan; Simon Schopferer; Veronika Gstaiger; Stefan Auer; Anne Schneibel; Marc Wieland; Thomas Kraft (ICCV (Workshops), 2023)

VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking. - Jens Hellekes; Manuel Muehlhaus; Reza Bahmanyar; Seyed Majid Azimi; Franz Kurz (ECCV (85), 2024)

Enhancing Very High-Resolution Satellite Images At 15 cm: A Novel Pipeline With Synthetic Data and Single Image Superresolution. - Sandeep Kumar Jangir; Reza Bahmanyar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Towards Using Synthetic Data in Aerial Image Segmentation. - Alaa Eddine Ben Zekri; Aymen Latrach; Reza Bahmanyar; Houda Chaabouni-Chouayakh (JURSE, 2025)