Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation. - Robert A. Marsden; Alexander Bartler; Mario Döbler; Bin Yang 009 (IJCNN, 2022)

Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer. - Robert A. Marsden; Felix Wiewel; Mario Döbler; Yang Yang; Bin Yang 009 (IJCNN, 2022)

An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions. - George Eskandar; Robert A. Marsden; Pavithran Pandiyan; Mario Döbler; Karim Guirguis; Bin Yang 009 (IROS, 2022)

Gradual Test-Time Adaptation by Self-Training and Style Transfer. - Robert A. Marsden; Mario Döbler; Bin Yang 009 (CoRR, 2022)

Robust Mean Teacher for Continual and Gradual Test-Time Adaptation. - Mario Döbler; Robert A. Marsden; Bin Yang 009 (CVPR, 2023)

Robust Fine-Tuning and Adaptation of Zero-Shot Models via Adaptive Weight-Space Ensembling. - Mario Döbler; Michael Feil; Robert A. Marsden; Bin Yang 009 (ECCV Workshops (18), 2024)

A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models. - Mario Döbler; Robert A. Marsden; Tobias Raichle; Bin Yang 009 (ECCV Workshops (18), 2024)

Diversity-Aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-Time Adaptation. - Mario Döbler; Florian Marencke; Robert A. Marsden; Bin Yang (ICASSP, 2024)

Introducing Intermediate Domains for Effective Self-Training during Test-Time. - Robert A. Marsden; Mario Döbler; Bin Yang 009 (IJCNN, 2024)

Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction. - Robert A. Marsden; Mario Döbler; Bin Yang 009 (WACV, 2024)

Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time Adaptation. - Mario Döbler; Florian Marencke; Robert A. Marsden; Bin Yang 009 (CoRR, 2024)