Simone Schaub-Meyer

According to our database, Simone Schaub-Meyer authored at least 35 papers between 2015 and 2025.

Collaborative distances:

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

2025

Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation.

Dustin Carrión-Ojeda, Stefan Roth, Simone Schaub-Meyer

CoRR, July, 2025

ART: Adaptive Relation Tuning for Generalized Relation Prediction.

Gopika Sudhakaran, Hikaru Shindo, Patrick Schramowski, Simone Schaub-Meyer, Kristian Kersting, Stefan Roth

CoRR, July, 2025

Knowledge Distillation for Multimodal Egocentric Action Recognition Robust to Missing Modalities.

Maria Santos-Villafranca, Dustin Carrión-Ojeda, Alejandro Pérez-Yus, Jesus Bermudez-Cameo, Josechu J. Guerrero, Simone Schaub-Meyer

CoRR, April, 2025

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model.

Jannik Endres, Oliver Hahn, Charles Corbière, Simone Schaub-Meyer, Stefan Roth, Alexandre Alahi

CoRR, March, 2025

Beyond Accuracy: What Matters in Designing Well-Behaved Models?

Robin Hesse, Dogukan Bagci, Bernt Schiele, Simone Schaub-Meyer, Stefan Roth

CoRR, March, 2025

Continual Learning Should Move Beyond Incremental Classification.

Rupert Mitchell, Antonio Alliegro, Raffaello Camoriano, Dustin Carrión-Ojeda, Antonio Carta, Georgia Chalvatzaki, Nikhil Churamani, Carlo D'Eramo, Samin Hamidi, Robin Hesse, Fabian Hinder, Roshni Kamath, Vincenzo Lomonaco, Subarnaduti Paul, Francesca Pistilli, Tinne Tuytelaars, Gido M. van de Ven, Kristian Kersting, Simone Schaub-Meyer, Martin Mundt

CoRR, February, 2025

GLASS: Guided Latent Slot Diffusion for Object-Centric Learning.

Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth

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

Disentangling Polysemantic Channels in Convolutional Neural Networks.

Robin Hesse, Jonas Fischer, Simone Schaub-Meyer, Stefan Roth

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

2024

Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals.

Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth

Trans. Mach. Learn. Res., 2024

DIAGen: Diverse Image Augmentation with Generative Models.

Tobias Lingenberg, Markus Reuter, Gopika Sudhakaran, Dominik Gojny, Stefan Roth, Simone Schaub-Meyer

CoRR, 2024

Guided Latent Slot Diffusion for Object-Centric Learning.

Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth

CoRR, 2024

Benchmarking Video Frame Interpolation.

Simon Kiefhaber, Simon Niklaus, Feng Liu, Simone Schaub-Meyer

CoRR, 2024

Benchmarking the Attribution Quality of Vision Models.

Robin Hesse, Simone Schaub-Meyer, Stefan Roth

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

The Challenges of Relighting from Multi-View Observations.

Daniel Siersleben, Rodrigo Ortiz Cayon, Klemen Istenic, Yusuke Tomoto, Simone Schaub-Meyer

Proceedings of the Eurographics Workshop on Material Appearance Modeling, 2024

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

Tobias Lingenberg, Markus Reuter, Gopika Sudhakaran, Dominik Gojny, Stefan Roth, Simone Schaub-Meyer

Proceedings of the Pattern Recognition, 2024

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

Krishnakant Singh, Thanush Navaratnam, Jannik Holmer, Simone Schaub-Meyer, Stefan Roth

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Entropy-driven Unsupervised Keypoint Representation Learning in Videos.

Ali Younes, Simone Schaub-Meyer, Georgia Chalvatzaki

Proceedings of the International Conference on Machine Learning, 2023

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

Robin Hesse, Simone Schaub-Meyer, Stefan Roth

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Content-Adaptive Downsampling in Convolutional Neural Networks.

Robin Hesse, Simone Schaub-Meyer, Stefan Roth

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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

Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth

CoRR, 2022

An information-theoretic approach to unsupervised keypoint representation learning.

Ali Younes, Simone Schaub-Meyer, Georgia Chalvatzaki

CoRR, 2022

News Globe: Visualization of Geolocalized News Articles.

Nicholas Ingulfsen, Simone Schaub-Meyer, Markus Gross, Tobias Günther

IEEE Computer Graphics and Applications, 2022

$S^2$-Flow: Joint Semantic and Style Editing of Facial Images.

Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Efficient Feature Extraction for High-resolution Video Frame Interpolation.

Moritz Nottebaum, Stefan Roth, Simone Schaub-Meyer

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Fast Axiomatic Attribution for Neural Networks.

Robin Hesse, Simone Schaub-Meyer, Stefan Roth

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned.

Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin

Proceedings of the NeurIPS 2022 Competition Track, 2021

Dense Unsupervised Learning for Video Segmentation.

Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Simplifying the Process of Creating Augmented Outdoor Scenes.

Ribin Chalumattu, Simone Schaub-Meyer, Robin Wiethüchter, Severin Klingler, Markus Gross

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Style Transfer for Keypoint Matching Under Adverse Conditions.

Ali Uzpak, Abdelaziz Djelouah, Simone Schaub-Meyer

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Neural Inter-Frame Compression for Video Coding.

Abdelaziz Djelouah, Joaquim Campos, Simone Schaub-Meyer, Christopher Schroers

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Video Frame Interpolation and Editing with Implicit Motion Estimation.

Simone Schaub-Meyer

PhD thesis, 2018

PhaseNet for Video Frame Interpolation.

Simone Meyer, Abdelaziz Djelouah, Brian McWilliams, Alexander Sorkine-Hornung, Markus H. Gross, Christopher Schroers

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Video Color Propagation.

Simone Meyer, Victor Cornillère, Abdelaziz Djelouah, Christopher Schroers, Markus H. Gross

Proceedings of the British Machine Vision Conference 2018, 2018

2016

Phase-Based Modification Transfer for Video.

Simone Meyer, Alexander Sorkine-Hornung, Markus H. Gross

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Phase-based frame interpolation for video.

Simone Meyer, Oliver Wang, Henning Zimmer, Max Grosse, Alexander Sorkine-Hornung

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015