Augmentation-based Domain Generalization for Semantic Segmentation. - Manuel Schwonberg; Fadoua El Bouazati; Nico M. Schmidt; Hanno Gottschalk (IV, 2023)

Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. - Manuel Schwonberg; Joshua Niemeijer; Jan-Aike Termöhlen; Jörg P. Schäfer; Nico M. Schmidt; Hanno Gottschalk; Tim Fingscheidt (IEEE Access, 2023)

VLTSeg: Simple Transfer of CLIP-Based Vision-Language Representations for Domain Generalized Semantic Segmentation. - Christoph Hümmer; Manuel Schwonberg; Liangwei Zhou; Hu Cao; Alois Knoll; Hanno Gottschalk (CoRR, 2023)

Strong but Simple: A Baseline for Domain Generalized Dense Perception by CLIP-Based Transfer Learning. - Christoph Hümmer; Manuel Schwonberg; Liangwei Zhou; Hu Cao; Alois Knoll; Hanno Gottschalk (ACCV (10), 2024)

A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models. - Manuel Schwonberg; Claus Werner; Hanno Gottschalk; Carsten Meyer (BMVC Workshops, 2024)

Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. - Joshua Niemeijer; Manuel Schwonberg; Jan-Aike Termöhlen; Nico M. Schmidt; Tim Fingscheidt (WACV, 2024)