Ahmed J. Afifi
Orcid: 0000-0001-6782-6753Affiliations:
- Technical University of Berlin, Germany (PhD 2021)
According to our database1,
Ahmed J. Afifi
authored at least 21 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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Bibliography
2024
Improving Mineral Classification Using Multimodal Hyperspectral Point Cloud Data and Multi-Stream Neural Network.
Remote. Sens., July, 2024
Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences.
IEEE Trans. Geosci. Remote. Sens., 2024
Dimensional Dilemma: Navigating the Fusion of Hyperspectral and Lidar Point Cloud Data for Optimal Precision - 2D vs. 3D.
Proceedings of the IGARSS 2024, 2024
2023
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences.
CoRR, 2023
IEEE Access, 2023
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
2022
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research.
Artif. Intell. Rev., 2022
2021
Geometric and semantic understanding of objects from a single image using deep learning.
PhD thesis, 2021
Pixel2point: 3D Object Reconstruction From a Single Image Using CNN and Initial Sphere.
IEEE Access, 2021
Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021
2020
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
2019
Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation.
Expert Syst. Appl., 2019
IEEE Access, 2019
Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation.
IEEE Access, 2019
2018
Simultaneous Object Classification and Viewpoint Estimation using Deep Multi-task Convolutional Neural Network.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018
2017
Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017
2016
Object Depth Estimation from a Single Image Using Fully Convolutional Neural Network.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
2012
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012