Mario Döbler

According to our database, Mario Döbler authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

CoRR, 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

CoRR, 2024

Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction.

Robert A. Marsden, Mario Döbler, Bin Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Introducing Intermediate Domains for Effective Self-Training during Test-Time.

Robert A. Marsden, Mario Döbler, Bin Yang

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the IEEE International Conference on Acoustics, 2024

Calibration-free online test-time adaptation for electroencephalography motor imagery decoding.

Martin Wimpff, Mario Döbler, Bin Yang

Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

2023

Robust Mean Teacher for Continual and Gradual Test-Time Adaptation.

Mario Döbler, Robert A. Marsden, Bin Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Gradual Test-Time Adaptation by Self-Training and Style Transfer.

Robert A. Marsden, Mario Döbler, Bin Yang

CoRR, 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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer.

Robert A. Marsden, Felix Wiewel, Mario Döbler, Yang Yang, Bin Yang

Proceedings of the International Joint Conference on Neural Networks, 2022

Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation.

Robert A. Marsden, Alexander Bartler, Mario Döbler, Bin Yang

Proceedings of the International Joint Conference on Neural Networks, 2022

MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption.

Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022