To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction. - Wenbin Li 003; Seyedmajid Azimi; Ales Leonardis; Mario Fritz (CoRR, 2016)

Advanced Steel Microstructure Classification by Deep Learning Methods. - Seyedmajid Azimi; Dominik Britz; Michael Engstler; Mario Fritz; Frank Mücklich (CoRR, 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)

ShuffleDet: Real-Time Vehicle Detection Network in On-Board Embedded UAV Imagery. - Seyed Majid Azimi (ECCV Workshops (2), 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)

Towards HD Maps from Aerial Imagery: Robust Lane Marking Segmentation Using Country-Scale Imagery. - Peter Fischer 002; Seyed Majid Azimi; Robert Roschlaub; Thomas Krauß (ISPRS Int. J. Geo Inf., 2018)

Road Segmentation in SAR Satellite Images With Deep Fully Convolutional Neural Networks. - Corentin Henry; Seyed Majid Azimi; Nina Merkle (IEEE Geosci. Remote. Sens. Lett., 2018)

SkyScapes - Fine-Grained Semantic Understanding of Aerial Scenes. - Seyed Majid Azimi; Corentin Henry; Lars Sommer; Arne Schumann; Eleonora Vig (ICCV, 2019)

Semantic Vehicle Segmentation in Very High Resolution Multispectral Aerial Images Using Deep Neural Networks. - Nina Merkle; Seyed Majid Azimi; Sebastian Pless; Franz Kurz (IGARSS, 2019)

3D Semantic Segmentation from Multi-View Optical Satellite Images. - Pablo d'Angelo; Ksenia Bittner; Thomas Krauß; Peter Reinartz; Daniele Cerra; Seyed Majid Azimi; Nina Merkle; Jiaojiao Tian; Stefan Auer; Miguel Pato; Raquel de los Reyes; Xiangyu Zhuo (IGARSS, 2019)

Deep Learning Segmentation and 3D Reconstruction of Road Markings Using Multiview Aerial Imagery. - Franz Kurz; Seyed Majid Azimi; Chun-Yu Sheu; Pablo d'Angelo (ISPRS Int. J. Geo Inf., 2019)

Aerial LaneNet: Lane-Marking Semantic Segmentation in Aerial Imagery Using Wavelet-Enhanced Cost-Sensitive Symmetric Fully Convolutional Neural Networks. - Seyed Majid Azimi; Peter Fischer 002; Marco Körner 001; Peter Reinartz (IEEE Trans. Geosci. 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)

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)

Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part A. - Saket Kunwar; Hongyu Chen 003; Manhui Lin; Hongyan Zhang 001; Pablo d'Angelo; Daniele Cerra; Seyed Majid Azimi; Myron Brown; Gregory D. Hager; Naoto Yokoya; Ronny Hänsch; Bertrand Le Saux (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Deep Curriculum Learner in an Active Learning Cycle for Polsar Image Classification. - Seyed Hamidreza Mousavi; Seyed Majid Azimi (IGARSS, 2022)

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)

MACS-HAP: Design and Image Processing Features of the DLR HAP Camera System. - Jörg Brauchle; Veronika Gstaiger; Seyed Majid Azimi; Manuel Muehlhaus; Florian Nikodem; Patrick Dern; Derek Griffith (IGARSS, 2023)

AD-HOC Situational Awareness During Floods Using Remote Sensing Data and Machine Learning Methods. - Marc Wieland; Nina Merkle; Anne Schneibel; Corentin Henry; Konstanze Lechner; Xiangtian Yuan; Seyed Majid Azimi; Veronika Gstaiger; Sandro Martinis (IGARSS, 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)