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2020 – today
- 2023
[c10]Andreas Michel
, Martin Weinmann, Fabian Schenkel, Tomas Gomez, Mark Falvey, Rainer Schmitz, Wolfgang Middelmann, Stefan Hinz:
DustNet: Attention to Dust. DAGM 2023: 211-226- [c9]Andreas Michel, Martin Weinmann, Fabian Schenkel, Thomas Gomez, Mark Falvey, Rainer Schmitz, Wolfgang Middelmann, Stefan Hinz:
Terrestrial Visual Dust Density Estimation Based On Deep Learning. IGARSS 2023: 4923-4926 - [c8]Jonathan González-Santiago, Fabian Schenkel, Wolfgang Gross, Wolfgang Middelmann:
Deep Self-Supervised Hyperspectral-Lidar Fusion for Land Cover Classification. IGARSS 2023: 5910-5913 - [c7]Jonathan González-Santiago, Wolfgang Gross, Fabian Schenkel, Wolfgang Middelmann:
Deep Self-Supervised Image Denoising for Joint Hyperspectral-Lidar Classification. WHISPERS 2023: 1-5 - 2022
- [c6]Andreas Michel, Wolfgang Gross, Fabian Schenkel, Wolfgang Middelmann:
Class-aware Object Counting. WACV (Workshops) 2022: 469-478 - [c5]Jonathan González-Santiago, Fabian Schenkel, Wolfgang Gross, Wolfgang Middelmann:
Deep Self-Supervised Pixel-Level Learning For Hyperspectral Classification. WHISPERS 2022: 1-5 - 2021
- [c4]Jonathan González-Santiago, Fabian Schenkel, Wolfgang Middelmann:
Self-Supervised Image Colorization for Semantic Segmentation of Urban Land Cover. IGARSS 2021: 3468-3471 - 2020
- [c3]Andreas Michel, Wolfgang Groß, Fabian Schenkel, Wolfgang Middelmann:
Hyperspectral Band Selection within a Deep Reinforcement Learning Framework. IGARSS 2020: 52-55 - [c2]Fabian Schenkel, Wolfgang Middelmann:
Domain Adaptation for Semantic Segmentation of Aerial Imagery Using Cycle-Consistent Adversarial Networks. IGARSS 2020: 1448-1451
2010 – 2019
- 2019
- [c1]Fabian Schenkel, Wolfgang Middelmann:
Domain Adaptation for Semantic Segmentation Using Convolutional Neural Networks. IGARSS 2019: 728-731
Coauthor Index
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