Fabian Schenkel

According to our database, Fabian Schenkel authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep Self-Supervised Image Denoising for Joint Hyperspectral-Lidar Classification.

Jonathan González-Santiago, Wolfgang Gross, Fabian Schenkel, Wolfgang Middelmann

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Terrestrial Visual Dust Density Estimation Based On Deep Learning.

Andreas Michel, Martin Weinmann, Fabian Schenkel, Thomas Gomez, Mark Falvey, Rainer Schmitz, Wolfgang Middelmann, Stefan Hinz

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Deep Self-Supervised Hyperspectral-Lidar Fusion for Land Cover Classification.

Jonathan González-Santiago, Fabian Schenkel, Wolfgang Gross, Wolfgang Middelmann

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

DustNet: Attention to Dust.

Andreas Michel, Martin Weinmann, Fabian Schenkel, Tomas Gomez, Mark Falvey, Rainer Schmitz, Wolfgang Middelmann, Stefan Hinz

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Deep Self-Supervised Pixel-Level Learning For Hyperspectral Classification.

Jonathan González-Santiago, Fabian Schenkel, Wolfgang Gross, Wolfgang Middelmann

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Class-aware Object Counting.

Andreas Michel, Wolfgang Gross, Fabian Schenkel, Wolfgang Middelmann

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2021

Self-Supervised Image Colorization for Semantic Segmentation of Urban Land Cover.

Jonathan González-Santiago, Fabian Schenkel, Wolfgang Middelmann

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Domain Adaptation for Semantic Segmentation of Aerial Imagery Using Cycle-Consistent Adversarial Networks.

Fabian Schenkel, Wolfgang Middelmann

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Hyperspectral Band Selection within a Deep Reinforcement Learning Framework.

Andreas Michel, Wolfgang Groß, Fabian Schenkel, Wolfgang Middelmann

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Domain Adaptation for Semantic Segmentation Using Convolutional Neural Networks.

Fabian Schenkel, Wolfgang Middelmann

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019