William Beluch

According to our database, William Beluch authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis.

Yumeng Li, William Beluch, Margret Keuper, Dan Zhang, Anna Khoreva

CoRR, 2024

2023

Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation.

Dan Zhang, Kaspar Sakmann, William Beluch, Robin Hutmacher, Yumeng Li

CoRR, 2023

Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation.

Dan Zhang, Kaspar Sakmann, William Beluch, Robin Hutmacher, Yumeng Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing.

Sophie Henning, William Beluch, Alexander Fraser, Annemarie Friedrich

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2021

Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing.

Kanil Patel, William Beluch, Kilian Rambach, Michael Pfeiffer, Bin Yang

CoRR, 2021

Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra.

Kanil Patel, William Beluch, Kilian Rambach, Adriana-Eliza Cozma, Michael Pfeiffer, Bin Yang

CoRR, 2021

Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning.

Kanil Patel, William H. Beluch, Bin Yang, Michael Pfeiffer, Dan Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities.

Elias Eulig, Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Kilian Rambach, William Beluch, Xiahan Shi, Volker Fischer

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration.

Kanil Patel, William Beluch, Dan Zhang, Michael Pfeiffer, Bin Yang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Uncertainty Based Detection and Relabeling of Noisy Image Labels.

Jan M. Köhler, Maximilian Autenrieth, William H. Beluch

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

The Power of Ensembles for Active Learning in Image Classification.

William H. Beluch, Tim Genewein, Andreas Nürnberger, Jan M. Köhler

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018