Seyed Majid Azimi
Titel
Zitiert von
Zitiert von
Jahr
Advanced steel microstructural classification by deep learning methods
SM Azimi, D Britz, M Engstler, M Fritz, F Mücklich
Scientific reports 8 (1), 1-14, 2018
1062018
Towards multi-class object detection in unconstrained remote sensing imagery
SM Azimi, E Vig, R Bahmanyar, M Körner, P Reinartz
Asian Conference on Computer Vision, 150-165, 2018
572018
Road segmentation in SAR satellite images with deep fully convolutional neural networks
C Henry, SM Azimi, N Merkle
IEEE Geoscience and Remote Sensing Letters 15 (12), 1867-1871, 2018
562018
To fall or not to fall: A visual approach to physical stability prediction
W Li, S Azimi, A Leonardis, M Fritz
arXiv preprint arXiv:1604.00066, 2016
452016
Aerial LaneNet: Lane-marking semantic segmentation in aerial imagery using wavelet-enhanced cost-sensitive symmetric fully convolutional neural networks
SM Azimi, P Fischer, M Körner, P Reinartz
IEEE Transactions on Geoscience and Remote Sensing 57 (5), 2920-2938, 2018
302018
ShuffleDet: real-time vehicle detection network in on-board embedded UAV imagery
S Majid Azimi
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
122018
Skyscapes fine-grained semantic understanding of aerial scenes
SM Azimi, C Henry, L Sommer, A Schumann, E Vig
Proceedings of the IEEE International Conference on Computer Vision, 7393-7403, 2019
92019
Roof Type Selection based on patch-based classsification using deep learning for high Resolution Satellite Imagery
T Partovi, F Fraundorfer, S Azimi, D Marmanis, P Reinartz
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017
82017
Wavelet-enhanced convolutional neural network: a new idea in a deep learning paradigm
BA Savareh, H Emami, M Hajiabadi, SM Azimi, M Ghafoori
Biomedical Engineering/Biomedizinische Technik 64 (2), 195-205, 2019
62019
Towards multi-class object detection in unconstrained remote sensing imagery. arXiv 2018
SM Azimi, E Vig, R Bahmanyar, M Körner, P Reinartz
arXiv preprint arXiv:1807.02700, 0
5
Towards hd maps from aerial imagery: Robust lane marking segmentation using country-scale imagery
P Fischer, SM Azimi, R Roschlaub, T Krauß
ISPRS International Journal of Geo-Information 7 (12), 458, 2018
42018
Combining deep and shallow neural networks with ad hoc detectors for the classification of complex multi-modal urban scenes
D Cerra, M Pato, E Carmona, SM Azimi, J Tian, R Bahmanyar, F Kurz, ...
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
42018
Deep learning segmentation and 3D reconstruction of road markings using multiview aerial imagery
F Kurz, SM Azimi, CY Sheu, P d’Angelo
ISPRS International Journal of Geo-Information 8 (1), 47, 2019
32019
Segment-and-count: vehicle counting in aerial imagery using atrous convolutional neural networks
S Azimi, E Vig, F Kurz, P Reinartz
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018
22018
MULTIPLE VEHICLES AND PEOPLE TRACKING IN AERIAL IMAGERY USING STACK OF MICRO SINGLE-OBJECT-TRACKING CNNS.
R Bahmanyar, SM Azimi, P Reinartz
International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2019
12019
Semantic Vehicle Segmentation in Very High Resolution Multispectral Aerial Images Using Deep Neural Networks
N Merkle, SM Azimi, S Pless, F Kurz
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
12019
Emergence of Convolutional Neural Network in Future Medicine: Why and How. A Review on Brain Tumor Segmentation
BA Savareh, H Emami, M Hajiabadi, M Ghafoori, SM Azimi
Polish Journal of Medical Physics and Engineering 24 (1), 43-53, 2018
12018
DLRAD-A first look on the new vision and mapping benchmark dataset
F Kurz, D Waigand, P Pekezou Fouopi, E Vig, C Henry, N Merkle, ...
12018
EAGLE: Large-scale Dataset for Vehicle Detection in Aerial Imagery
SM Azimi, R Bahmanyar, C Henry, F Kurz
arXiv preprint arXiv:2007.06124, 2020
2020
AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features
M Kraus, SM Azimi, E Ercelik, R Bahmanyar, P Reinartz, A Knoll
arXiv preprint arXiv:2006.15457, 2020
2020
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