Seyed Majid Azimi

Orcid: 0000-0002-6084-2272

According to our database1, Seyed Majid Azimi authored at least 23 papers between 2016 and 2023.

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Bibliography

2023
AD-HOC Situational Awareness During Floods Using Remote Sensing Data and Machine Learning Methods.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

MACS-HAP: Design and Image Processing Features of the DLR HAP Camera System.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Airborne-Shadow: Towards Fine-Grained Shadow Detection in Aerial Imagery.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022
A Deep Curriculum Learner in an Active Learning Cycle for Polsar Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part A.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network.
Remote. Sens., 2021

2020
Multiple Pedestrians and Vehicles Tracking in Aerial Imagery: A Comprehensive Study.
CoRR, 2020

EAGLE: Large-scale Vehicle Detection Dataset inReal-World Scenarios using Aerial Imagery.
CoRR, 2020

AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

EAGLE: Large-Scale Vehicle Detection Dataset in Real-World Scenarios using Aerial Imagery.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Aerial LaneNet: Lane-Marking Semantic Segmentation in Aerial Imagery Using Wavelet-Enhanced Cost-Sensitive Symmetric Fully Convolutional Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2019

Deep Learning Segmentation and 3D Reconstruction of Road Markings Using Multiview Aerial Imagery.
ISPRS Int. J. Geo Inf., 2019

3D Semantic Segmentation from Multi-View Optical Satellite Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Semantic Vehicle Segmentation in Very High Resolution Multispectral Aerial Images Using Deep Neural Networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

SkyScapes - Fine-Grained Semantic Understanding of Aerial Scenes.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Road Segmentation in SAR Satellite Images With Deep Fully Convolutional Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2018

Towards HD Maps from Aerial Imagery: Robust Lane Marking Segmentation Using Country-Scale Imagery.
ISPRS Int. J. Geo Inf., 2018

Combining Deep and Shallow Neural Networks with Ad Hoc Detectors for the Classification of Complex Multi-Modal Urban Scenes.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

ShuffleDet: Real-Time Vehicle Detection Network in On-Board Embedded UAV Imagery.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Advanced Steel Microstructure Classification by Deep Learning Methods.
CoRR, 2017

2016
To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction.
CoRR, 2016


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