End-to-End Neural Network Training for Hyperbox-Based Classification. - Denis Martins 001; Christian Lülf; Fabian Gieseke (ESANN, 2023)

RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery. - Christian Lülf; Denis Mayr Lima Martins; Marcos Antonio Vaz Salles; Yongluan Zhou; Fabian Gieseke (SIGSPATIAL/GIS, 2023)

Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests. - Christian Lülf; Denis Mayr Lima Martins; Marcos Antonio Vaz Salles; Yongluan Zhou; Fabian Gieseke (Proc. VLDB Endow., 2023)

CLIP-Branches: Interactive Fine-Tuning for Text-Image Retrieval. - Christian Lülf; Denis Mayr Lima Martins; Marcos Antonio Vaz Salles; Yongluan Zhou; Fabian Gieseke (SIGIR, 2024)

CLIP-Branches: Interactive Fine-Tuning for Text-Image Retrieval. - Christian Lülf; Denis Mayr Lima Martins; Marcos Antonio Vaz Salles; Yongluan Zhou; Fabian Gieseke (CoRR, 2024)

Training neural networks end-to-end for hyperbox-based classification. - Denis Mayr Lima Martins; Christian Lülf; Fabian Gieseke (Neurocomputing, 2024)