Brian B. Moser

According to our database, Brian B. Moser authored at least 29 papers between 2019 and 2025.

Collaborative distances:

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

2025

Diffusion Models, Image Super-Resolution, and Everything: A Survey.

Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel

IEEE Trans. Neural Networks Learn. Syst., July, 2025

A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances.

Brian B. Moser, Arundhati S. Shanbhag, Stanislav Frolov, Federico Raue, Joachim Folz, Andreas Dengel

CoRR, May, 2025

ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation.

Tobias Christian Nauen, Brian B. Moser, Federico Raue, Stanislav Frolov, Andreas Dengel

CoRR, March, 2025

Spherical Dense Text-to-Image Synthesis.

Timon Winter, Stanislav Frolov, Brian B. Moser, Andreas Dengel

CoRR, February, 2025

A Study in Dataset Distillation for Image Super-Resolution.

Tobias Dietz, Brian B. Moser, Tobias Christian Nauen, Federico Raue, Stanislav Frolov, Andreas Dengel

CoRR, February, 2025

Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution.

Ashitha Mudraje, Brian B. Moser, Stanislav Frolov, Andreas Dengel

CoRR, January, 2025

Dynamic Attention-Guided Diffusion for Image Super-Resolution.

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

SpotDiffusion: A Fast Approach for Seamless Panorama Generation Over Time.

Stanislav Frolov, Brian B. Moser, Andreas Dengel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Webcam-Based Pupil Diameter Prediction Benefits from Upscaling.

Vijul Shah, Brian B. Moser, Ko Watanabe, Andreas Dengel

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

PupilSense: A Novel Application for Webcam-Based Pupil Diameter Estimation.

Vijul Shah, Ko Watanabe, Brian B. Moser, Andreas Dengel

Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, 2025

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model.

Ryugo Morita, Stanislav Frolov, Brian Bernhard Moser, Takahiro Shirakawa, Ko Watanabe, Andreas Dengel, Jinjia Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning.

Brian B. Moser, Federico Raue, Tobias Christian Nauen, Stanislav Frolov, Andreas Dengel

CoRR, 2024

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning.

Arundhati S. Shanbhag, Brian B. Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel

CoRR, 2024

Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution.

Brian B. Moser, Stanislav Frolov, Tobias Christian Nauen, Federico Raue, Andreas Dengel

CoRR, 2024

A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift.

Sanath Budakegowdanadoddi Nagaraju, Brian B. Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel

CoRR, 2024

FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data.

Ahmed Anwar, Brian B. Moser, Dayananda Herurkar, Federico Raue, Vinit Hegiste, Tatjana Legler, Andreas Dengel

CoRR, 2024

EyeDentify: A Dataset for Pupil Diameter Estimation based on Webcam Images.

Vijul Shah, Ko Watanabe, Brian B. Moser, Andreas Dengel

CoRR, 2024

Federated Learning for Blind Image Super-Resolution.

Brian B. Moser, Ahmed Anwar, Federico Raue, Stanislav Frolov, Andreas Dengel

CoRR, 2024

Latent Dataset Distillation with Diffusion Models.

Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel

CoRR, 2024

ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation.

Stanislav Frolov, Brian B. Moser, Sebastian Palacio, Andreas Dengel

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution.

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

Proceedings of the International Joint Conference on Neural Networks, 2024

A Study in Dataset Pruning for Image Super-Resolution.

Brian B. Moser, Federico Raue, Andreas Dengel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances.

Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution.

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

CoRR, 2023

Bridging the Gap: Infusing Natural Science Classes with Computer Science Concepts and Skills.

Elena Yanakieva, Annette Bieniusa, Thomas Becka, Brian B. Moser, Dominik Jerger, Christoph Thyssen

Proceedings of the Informatics in Schools. Beyond Bits and Bytes: Nurturing Informatics Intelligence in Education, 2023

DWA: Differential Wavelet Amplifier for Image Super-Resolution.

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Less is More: Proxy Datasets in NAS approaches.

Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020

DartsReNet: Exploring New RNN Cells in ReNet Architectures.

Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Comparison Between U-Net and U-ReNet Models in OCR Tasks.

Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019