Brian B. Moser

45 papers A* 1A 2B 3Journal 32Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators.
CoRR
Krzysztof Adamkiewicz, Brian B. Moser, Stanislav Frolov, Tobias Christian Nauen, Federico Raue, Andreas Dengel
2025 J jnl
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances.
CoRR
Brian B. Moser, Arundhati S. Shanbhag, Stanislav Frolov, Federico Raue, Joachim Folz, Andreas Dengel
2025 J jnl
A Study in Dataset Distillation for Image Super-Resolution.
CoRR
Tobias Dietz, Brian B. Moser, Tobias Christian Nauen, Federico Raue, Stanislav Frolov, Andreas Dengel
2025 J jnl
Diffusion Models, Image Super-Resolution, and Everything: A Survey.
IEEE Trans. Neural Networks Learn. Syst.
Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel
2025 B conf
Distill the Best, Ignore the Rest: A Study in Latent Dataset Distillation on Core-Sets.
IJCNN
Brian B. Moser, Federico Raue, Tobias Christian Nauen, Stanislav Frolov, Andreas Dengel
2025 A conf
Dynamic Attention-Guided Diffusion for Image Super-Resolution.
WACV
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2025 J jnl
ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation.
CoRR
Tobias Christian Nauen, Brian B. Moser, Federico Raue, Stanislav Frolov, Andreas Dengel
2025 J jnl
HandyLabel: Towards Post-Processing to Real-Time Annotation Using Skeleton Based Hand Gesture Recognition.
CoRR
Sachin Kumar Singh, Ko Watanabe, Brian B. Moser, Andreas Dengel
2025 J jnl
HyperCore: Coreset Selection under Noise via Hypersphere Models.
CoRR
Brian B. Moser, Arundhati S. Shanbhag, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Joachim Folz, Andreas Dengel
2025 J jnl
Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution.
CoRR
Ashitha Mudraje, Brian B. Moser, Stanislav Frolov, Andreas Dengel
2025 J jnl
PRISM: Diversifying Dataset Distillation by Decoupling Architectural Priors.
CoRR
Brian B. Moser, Shalini Sarode, Federico Raue, Stanislav Frolov, Krzysztof Adamkiewicz, Arundhati S. Shanbhag, Joachim Folz, Tobias Christian Nauen, Andreas Dengel
2025 B conf
PupilSense: A Novel Application for Webcam-Based Pupil Diameter Estimation.
ETRA
Vijul Shah, Ko Watanabe, Brian B. Moser, Andreas Dengel
2025 J jnl
Spherical Dense Text-to-Image Synthesis.
CoRR
Timon Winter, Stanislav Frolov, Brian B. Moser, Andreas Dengel
2025 A conf
SpotDiffusion: A Fast Approach for Seamless Panorama Generation Over Time.
WACV
Stanislav Frolov, Brian B. Moser, Andreas Dengel
2025 J jnl
SubZeroCore: A Submodular Approach with Zero Training for Coreset Selection.
CoRR
Brian B. Moser, Tobias Christian Nauen, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Joachim Folz, Andreas Dengel
2025 — conf
Webcam-Based Pupil Diameter Prediction Benefits from Upscaling.
ICAART (2)
Vijul Shah, Brian B. Moser, Ko Watanabe, Andreas Dengel
2024 J jnl
A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift.
CoRR
Sanath Budakegowdanadoddi Nagaraju, Brian B. Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel
2024 — conf
A Study in Dataset Pruning for Image Super-Resolution.
ICANN (2)
Brian B. Moser, Federico Raue, Andreas Dengel
2024 J jnl
A Study in Dataset Pruning for Image Super-Resolution.
CoRR
Brian B. Moser, Federico Raue, Andreas Dengel
2024 J jnl
Diffusion Models, Image Super-Resolution And Everything: A Survey.
CoRR
Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel
2024 J jnl
Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning.
CoRR
Brian B. Moser, Federico Raue, Tobias Christian Nauen, Stanislav Frolov, Andreas Dengel
2024 J jnl
EyeDentify: A Dataset for Pupil Diameter Estimation based on Webcam Images.
CoRR
Vijul Shah, Ko Watanabe, Brian B. Moser, Andreas Dengel
2024 J jnl
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data.
CoRR
Ahmed Anwar, Brian B. Moser, Dayananda Herurkar, Federico Raue, Vinit Hegiste, Tatjana Legler, Andreas Dengel
2024 J jnl
Federated Learning for Blind Image Super-Resolution.
CoRR
Brian B. Moser, Ahmed Anwar, Federico Raue, Stanislav Frolov, Andreas Dengel
2024 J jnl
Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning.
CoRR
Arundhati S. Shanbhag, Brian B. Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel
2024 J jnl
Latent Dataset Distillation with Diffusion Models.
CoRR
Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel
2024 A* conf
ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation.
ACM Multimedia
Stanislav Frolov, Brian B. Moser, Sebastian Palacio, Andreas Dengel
2024 J jnl
ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation.
CoRR
Stanislav Frolov, Brian B. Moser, Sebastian Palacio, Andreas Dengel
2024 J jnl
SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over Time.
CoRR
Stanislav Frolov, Brian B. Moser, Andreas Dengel
2024 J jnl
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model.
CoRR
Ryugo Morita, Stanislav Frolov, Brian B. Moser, Takahiro Shirakawa, Ko Watanabe, Andreas Dengel, Jinjia Zhou
2024 B conf
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution.
IJCNN
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2024 J jnl
Webcam-based Pupil Diameter Prediction Benefits from Upscaling.
CoRR
Vijul Shah, Brian B. Moser, Ko Watanabe, Andreas Dengel
2024 J jnl
Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution.
CoRR
Brian B. Moser, Stanislav Frolov, Tobias Christian Nauen, Federico Raue, Andreas Dengel
2023 — conf
Bridging the Gap: Infusing Natural Science Classes with Computer Science Concepts and Skills.
ISSEP
Elena Yanakieva, Annette Bieniusa, Thomas Becka, Brian B. Moser, Dominik Jerger, Christoph Thyssen
2023 — conf
DWA: Differential Wavelet Amplifier for Image Super-Resolution.
ICANN (2)
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023 J jnl
DWA: Differential Wavelet Amplifier for Image Super-Resolution.
CoRR
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023 J jnl
DartsReNet: Exploring new RNN cells in ReNet architectures.
CoRR
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2023 J jnl
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances.
IEEE Trans. Pattern Anal. Mach. Intell.
Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel
2023 J jnl
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution.
CoRR
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023 J jnl
YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution.
CoRR
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2022 J jnl
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances.
CoRR
Brian B. Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel
2022 — conf
Less is More: Proxy Datasets in NAS approaches.
CVPR Workshops
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2022 J jnl
Less is More: Proxy Datasets in NAS approaches.
CoRR
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2020 — conf
DartsReNet: Exploring New RNN Cells in ReNet Architectures.
ICANN (1)
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2019 — conf
Comparison Between U-Net and U-ReNet Models in OCR Tasks.
ICANN (3)
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel