Generative Adversarial Networks for Content-based Retrieval of Multispectral Images, TU Berlin, 2019.
Deep Active Learning for Object Detection, TU Berlin, 2019.
Deep Captioning for Analysis of Remote Sensing Images in Large Archives, TU Berlinss, 2019.
Deep Generative Models for Nonlinear Inverse Problems and Phase Retrieval, TU Berlin, 2019.
Analysis of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification, TU Berlin, 2020.
An End-to-End Framework for Processing and Analysis of Big Data in Earth Observation, TU Berlin, 2020.
Bahr, Viktor Florian
Deep Multi-Modal Hashing for Content-based Retrieval of Sentinel Images, TU Berlin, 2020.
Explaining and Interpreting CNNs for Classification of High Dimensional Satellite Images, TU Berlin, 2021.
Chowdhury, Ananya Bhanja
Large-Scale Contrastive Representation Learning for Content-based Remote Sensing Image Retrieval, TU Berlin, 2021.
Clasen, Kai Norman
Semi-supervised Learning for Remote Sensing Image Retrieval based on Graph CNNs, TU Berlin, 2021.
Deep Learning based Image Compression and Hashing in Large-Scale Remote Sensing Archives, TU Berlin, 2021.
Sample-based Hardness Scores in Deep Learning Curricula: A new Perspective on Learning with Noisy Labels, TU Berlin, 2022.
Domain Adaptation for Tree Species Classification Using Remote Sensing Image, TU Berlin, 2022.
Ha Minh, Thieu
Super-Resolution of Multispectral Multiresolution Images by Generative Adversarial Networks, TU Berlin, 2019.
Collaborative Learning Models for Classification of Remote Sensing Images with Noisy Labels, TU Berlin, 2020.
Aksoy, Ahmet Kerem
Image Search and Retrieval from Remote Sensing Archives based on Similarity Ranking Functions, TU Berlin, 2020.
Wagner, Matthias Jost
Compression of Remote Sensing Images based on Generative Adversarial Networks, TU Berlin, 2022.