Leonard Hackel
Leonard Hackel
Doctoral Researcher
- Rolf Niedermeier Preis for an outstanding final thesis
- Certificat of Honor as one of the best graduates in the master’s program Computer Engineering at TU Berlin
Remote sensing
big data analytics
multimodal data processing
deep learning
Leonard Hackel, Tom Burgert, Begüm Demir
How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models
Tom Burgert, Leonard Hackel, Paolo Rota, Begüm Demir
Rank-based Geographical Regularization: Revisiting Contrastive Self-Supervised Learning for Multispectral Remote Sensing Imagery
Leonard Hackel, Tom Burgert, Begüm Demir
CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Mathis Jürgen Adler, Leonard Hackel, Gencer Sumbul, Begüm Demir
Redundancy-Aware Pretraining of Vision-Language Foundation Models in Remote Sensing
Chiara Fusar Bassini, Leonard Hackel, Thorren Kirschbaum
IDLEWiSE
DA4DTE: Pioneering Satellite Data Archives with a Revolutionary Digital Assistant
Demonstrator Precursor Digital Assistant Interface for Digital Twin Earth (DA4DTE) is a project by the European Space Agency (ESA) that aims to simplify the usage of satellite data archives. A BIFOLD research group led by Prof. Dr. Begüm Demir has been pivotal in developing three of the four search engines featured in the digital assistant.