Robust, Explainable Deep Networks in Computer Vision

Publications

Content-Adaptive Downsampling in Convolutional Neural Networks

Auteurs: Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Publié dans: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023
Éditeur: IEEE

Deep Wiener Deconvolution:Wiener Meets Deep Learning for Image Deblurring

Auteurs: Jiangxin Dong, Stefan Roth, Bernt Schiele
Publié dans: Advances in Neural Information Processing Systems, Numéro vol. 33, 2020, Page(s) 1048-1059
Éditeur: Curran Associates, Inc.

Self-Supervised Multi-Frame Monocular Scene Flow

Auteurs: Junhwa Hur, Stefan Roth
Publié dans: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, Page(s) 2684-2694
Éditeur: IEEE Computer Society
DOI: 10.1109/cvpr46437.2021.00271

PixelPyramids: Exact Inference Models from Lossless Image Pyramids

Auteurs: Shweta Mahajan, Stefan Roth
Publié dans: IEEE/CVF International Conference on Computer Vision, 2021, Page(s) 6619-6628
Éditeur: IEEE Computer Society
DOI: 10.1109/iccv48922.2021.00657

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

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

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

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

Diverse Image Captioning with Grounded Style

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

Dense Unsupervised Learning for Video Segmentation

Auteurs: Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
Publié dans: Advances in Neural Information Processing Systems, 2021, Page(s) 25308-25319
Éditeur: Curran Associates, Inc.

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

Auteurs: Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Publié dans: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Éditeur: IEEE

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

Auteurs: Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
Publié dans: Proceedings of the 33rd British Machine Vision Conference, 2022
Éditeur: British Machine Vision Association

Fast Axiomatic Attribution for Neural Networks

Auteurs: Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Publié dans: Advances in Neural Information Processing Systems, 2021, Page(s) 19513-19524
Éditeur: Curran Associates, Inc.

Efficient Feature Extraction for High-resolution Video Frame Interpolation

Auteurs: Moritz Nottebaum, Stefan Roth, Simone Schaub-Meyer
Publié dans: Proceedings of the 33rd British Machine Vision Conference, 2022
Éditeur: British Machine Vision Association

Diverse Image Captioning with Context-Object Split Latent Spaces

Auteurs: Shweta Mahajan, Stefan Roth
Publié dans: Advances in Neural Information Processing Systems, Numéro vol.33, 2020, Page(s) 3613-3624
Éditeur: Curran Associates, Inc.

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

Auteurs: Jiangxin Dong; Stefan Roth; Bernt Schiele
Publié dans: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, ISSN 0162-8828
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2021.3138787

Recherche de données OpenAIRE...

Publications

Partager cette page

Télécharger