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Journal Articles
- 2025
[j2]Brian B. Moser
, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel:
Diffusion Models, Image Super-Resolution, and Everything: A Survey. IEEE Trans. Neural Networks Learn. Syst. 36(7): 11793-11813 (2025)- 2023
- [j1]Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel:
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9862-9882 (2023)
Conference and Workshop Papers
- 2025
- [c13]Ryugo Morita, Stanislav Frolov, Brian Bernhard Moser, Takahiro Shirakawa, Ko Watanabe, Andreas Dengel, Jinjia Zhou:
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model. CVPR 2025: 13031-13040 - [c12]Vijul Shah, Ko Watanabe, Brian B. Moser, Andreas Dengel:
PupilSense: A Novel Application for Webcam-Based Pupil Diameter Estimation. ETRA 2025: 11:1-11:8 - [c11]Vijul Shah, Brian B. Moser, Ko Watanabe, Andreas Dengel:
Webcam-Based Pupil Diameter Prediction Benefits from Upscaling. ICAART (2) 2025: 376-385 - [c10]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
Dynamic Attention-Guided Diffusion for Image Super-Resolution. WACV 2025: 451-460 - [c9]Stanislav Frolov, Brian B. Moser, Andreas Dengel:
SpotDiffusion: A Fast Approach for Seamless Panorama Generation Over Time. WACV 2025: 2073-2081 - 2024
- [c8]Brian B. Moser, Federico Raue, Andreas Dengel:
A Study in Dataset Pruning for Image Super-Resolution. ICANN (2) 2024: 351-363 - [c7]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution. IJCNN 2024: 1-8 - [c6]Stanislav Frolov, Brian B. Moser, Sebastian Palacio, Andreas Dengel:
ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation. ACM Multimedia 2024: 10621-10629 - 2023
- [c5]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
DWA: Differential Wavelet Amplifier for Image Super-Resolution. ICANN (2) 2023: 232-243 - [c4]Elena Yanakieva, Annette Bieniusa, Thomas Becka, Brian B. Moser, Dominik Jerger, Christoph Thyssen:
Bridging the Gap: Infusing Natural Science Classes with Computer Science Concepts and Skills. ISSEP 2023: 180-193 - 2022
- [c3]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
Less is More: Proxy Datasets in NAS approaches. CVPR Workshops 2022: 1952-1960 - 2020
- [c2]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
DartsReNet: Exploring New RNN Cells in ReNet Architectures. ICANN (1) 2020: 850-861 - 2019
- [c1]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
Comparison Between U-Net and U-ReNet Models in OCR Tasks. ICANN (3) 2019: 131-142
Informal and Other Publications
- 2025
- [i25]Ashitha Mudraje, Brian B. Moser, Stanislav Frolov, Andreas Dengel:
Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution. CoRR abs/2501.06720 (2025) - [i24]Tobias Dietz, Brian B. Moser, Tobias Christian Nauen, Federico Raue, Stanislav Frolov, Andreas Dengel:
A Study in Dataset Distillation for Image Super-Resolution. CoRR abs/2502.03656 (2025) - [i23]Timon Winter, Stanislav Frolov, Brian B. Moser, Andreas Dengel:
Spherical Dense Text-to-Image Synthesis. CoRR abs/2502.12691 (2025) - [i22]Tobias Christian Nauen, Brian B. Moser, Federico Raue, Stanislav Frolov, Andreas Dengel:
ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation. CoRR abs/2503.09399 (2025) - [i21]Brian B. Moser, Arundhati S. Shanbhag, Stanislav Frolov, Federico Raue, Joachim Folz, Andreas Dengel:
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances. CoRR abs/2505.17799 (2025) - 2024
- [i20]Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel:
Diffusion Models, Image Super-Resolution And Everything: A Survey. CoRR abs/2401.00736 (2024) - [i19]Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel:
Latent Dataset Distillation with Diffusion Models. CoRR abs/2403.03881 (2024) - [i18]Brian B. Moser, Federico Raue, Andreas Dengel:
A Study in Dataset Pruning for Image Super-Resolution. CoRR abs/2403.17083 (2024) - [i17]Stanislav Frolov, Brian B. Moser, Sebastian Palacio, Andreas Dengel:
ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation. CoRR abs/2404.07564 (2024) - [i16]Brian B. Moser, Ahmed Anwar, Federico Raue, Stanislav Frolov, Andreas Dengel:
Federated Learning for Blind Image Super-Resolution. CoRR abs/2404.17670 (2024) - [i15]Vijul Shah, Ko Watanabe, Brian B. Moser, Andreas Dengel:
EyeDentify: A Dataset for Pupil Diameter Estimation based on Webcam Images. CoRR abs/2407.11204 (2024) - [i14]Stanislav Frolov, Brian B. Moser, Andreas Dengel:
SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over Time. CoRR abs/2407.15507 (2024) - [i13]Ahmed Anwar, Brian B. Moser, Dayananda Herurkar, Federico Raue, Vinit Hegiste, Tatjana Legler, Andreas Dengel:
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data. CoRR abs/2408.04442 (2024) - [i12]Vijul Shah, Brian B. Moser, Ko Watanabe, Andreas Dengel:
Webcam-based Pupil Diameter Prediction Benefits from Upscaling. CoRR abs/2408.10397 (2024) - [i11]Sanath Budakegowdanadoddi Nagaraju, Brian B. Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel:
A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift. CoRR abs/2411.10231 (2024) - [i10]Brian B. Moser, Stanislav Frolov, Tobias Christian Nauen, Federico Raue, Andreas Dengel:
Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution. CoRR abs/2411.12072 (2024) - [i9]Arundhati S. Shanbhag, Brian B. Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel:
Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning. CoRR abs/2411.12073 (2024) - [i8]Brian B. Moser, Federico Raue, Tobias Christian Nauen, Stanislav Frolov, Andreas Dengel:
Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning. CoRR abs/2411.12115 (2024) - [i7]Ryugo Morita, Stanislav Frolov, Brian B. Moser, Takahiro Shirakawa, Ko Watanabe, Andreas Dengel, Jinjia Zhou:
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model. CoRR abs/2411.15580 (2024) - 2023
- [i6]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution. CoRR abs/2304.01994 (2023) - [i5]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
DartsReNet: Exploring new RNN cells in ReNet architectures. CoRR abs/2304.05838 (2023) - [i4]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
DWA: Differential Wavelet Amplifier for Image Super-Resolution. CoRR abs/2307.04593 (2023) - [i3]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution. CoRR abs/2308.07977 (2023) - 2022
- [i2]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
Less is More: Proxy Datasets in NAS approaches. CoRR abs/2203.06905 (2022) - [i1]Brian B. Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel:
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. CoRR abs/2209.13131 (2022)
Coauthor Index
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