Robust, Explainable Deep Networks in Computer Vision

Project Information

RED

Grant agreement ID: 866008

DOI

10.3030/866008

EC signature date 9 June 2020

Start date 1 September 2020

End date 31 August 2026

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 999 814,00

EU contribution

€ 1 999 814,00

Coordinated by

TECHNISCHE UNIVERSITAT DARMSTADT
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (18)

Benchmarking the Attribution Quality of Vision Models

Author(s): Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Published in: Advances in Neural Information Processing Systems, Issue 37, 2024, Page(s) 97928-97947
Publisher: Curran Associates, Inc.

Content-Adaptive Downsampling in Convolutional Neural Networks

Author(s): Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Published in: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023, Page(s) 4544-4553
Publisher: IEEE
DOI: 10.1109/cvprw59228.2023.00478

Deep Wiener Deconvolution:Wiener Meets Deep Learning for Image Deblurring

Author(s): Jiangxin Dong, Stefan Roth, Bernt Schiele
Published in: Advances in Neural Information Processing Systems, Issue vol. 33, 2020, Page(s) 1048-1059
Publisher: Curran Associates, Inc.

Self-Supervised Multi-Frame Monocular Scene Flow

Author(s): Junhwa Hur, Stefan Roth
Published in: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, Page(s) 2684-2694
Publisher: IEEE Computer Society
DOI: 10.1109/cvpr46437.2021.00271

Scene-centric unsupervised panoptic segmentation

Author(s): Oliver Hahn, Christoph Reich, Nikita Araslanov, Daniel Cremers, Christian Rupprecht, Stefan Roth
Published in: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Publisher: IEEE

PixelPyramids: Exact Inference Models from Lossless Image Pyramids

Author(s): Shweta Mahajan, Stefan Roth
Published in: IEEE/CVF International Conference on Computer Vision, 2021, Page(s) 6619-6628
Publisher: IEEE Computer Society
DOI: 10.1109/iccv48922.2021.00657

Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images

Author(s): Krishnakant Singh, Thanush Navaratnam, Jannik Holmer, Simone Schaub-Meyer, Stefan Roth
Published in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024, Page(s) 2505-2515
Publisher: IEEE
DOI: 10.1109/cvprw63382.2024.00257

GLASS: Guided Latent Slot Diffusion for Object-Centric Learning

Author(s): Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
Published in: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Publisher: IEEE

A Perspective on Deep Vision Performance with Standard Image and Video Codecs

Author(s): Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath
Published in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024, Page(s) 5712-5721
Publisher: IEEE
DOI: 10.1109/cvprw63382.2024.00580

Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise

Author(s): Jannik Schmitt, Stefan Roth
Published in: Pattern Recognition. DAGM GCPR 2021, Issue Lecture Notes in Computer Science, vol.13024, 2021, Page(s) 33-47
Publisher: Springer
DOI: 10.1007/978-3-030-92659-5_3

Learning Spatially-Variant MAP Models for Non-blind Image Deblurring

Author(s): Jiangxin Dong; Stefan Roth; Bernt Schiele
Published in: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, Page(s) 4886-4895
Publisher: IEEE Computer Socienty
DOI: 10.1109/cvpr46437.2021.00485

Diverse Image Captioning with Grounded Style

Author(s): Franz Klein, Shweta Mahajan, Stefan Roth
Published in: Pattern Recognition. DAGM GCPR 2021, Issue Lecture Notes in Computer Science, vol. 13024, 2021, Page(s) 421-436
Publisher: Springer
DOI: 10.1007/978-3-030-92659-5_27

Dense Unsupervised Learning for Video Segmentation

Author(s): Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
Published in: Advances in Neural Information Processing Systems, 2021, Page(s) 25308-25319
Publisher: Curran Associates, Inc.

FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods

Author(s): Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Published in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Publisher: IEEE

S2-Flow:Joint Semantic and Style Editing of Facial Images

Author(s): Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
Published in: Proceedings of the 33rd British Machine Vision Conference, 2022
Publisher: British Machine Vision Association

Fast Axiomatic Attribution for Neural Networks

Author(s): Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Published in: Advances in Neural Information Processing Systems, 2021, Page(s) 19513-19524
Publisher: Curran Associates, Inc.

Efficient Feature Extraction for High-resolution Video Frame Interpolation

Author(s): Moritz Nottebaum, Stefan Roth, Simone Schaub-Meyer
Published in: Proceedings of the 33rd British Machine Vision Conference, 2022
Publisher: British Machine Vision Association

Diverse Image Captioning with Context-Object Split Latent Spaces

Author(s): Shweta Mahajan, Stefan Roth
Published in: Advances in Neural Information Processing Systems, Issue vol.33, 2020, Page(s) 3613-3624
Publisher: Curran Associates, Inc.

Peer reviewed articles (3)

Boosting Unsupervised Semantic Segmentationwith Principal Mask Proposals

Author(s): Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
Published in: Transactions on Machine Learning Research, Issue September, 2024, ISSN 2835-8856
Publisher: Transactions on Machine Learning Research

DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring

Author(s): Jiangxin Dong; Stefan Roth; Bernt Schiele
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, ISSN 0162-8828
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2021.3138787

Semantic Self-adaptation: Enhancing Generalization with a Single Sample

Author(s): Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth
Published in: Transactions on Machine Learning Research, Issue July, 2023, ISSN 2835-8856
Publisher: Transactions on Machine Learning Research

Book chapters (1)

DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot Learning

Author(s): Tobias Lingenberg, Markus Reuter, Gopika Sudhakaran, Dominik Gojny, Stefan Roth, Simone Schaub-Meyer
Published in: Lecture Notes in Computer Science, Pattern Recognition, 2025, Page(s) 148-163
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-85181-0_10